Dirk Drasdo

INRIA

Computational models of cardiac function – Closing the gaps between virtual and physical reality

Gernot Plank

Medical University of Graz, Austria

A multiscale finite element model of cardiac growth and baroreflex regulation

Hossein Sharifi¹, Kenneth Scott Campbell¹, Lik Chuan Lee², Jonathan Frederick Wenk¹

1: University of Kentucky, United States of America; 2: Michigan State University, United States of America

Full personalisation of 3D biventricular models from electroanatomical mappings and cardiac magnetic resonance imaging to understand the impact of arrhythmic substrate components on electrophysiological function

Jesus Jairo Rodríguez Padilla¹, Buntheng Ly², Rafael Silva¹, Mihaela Pop^1,3, Maxime Sermesant¹

1: Centre Inria d'Université Côte d'Azur, France; 2: IHU-Liryc, Université de Bordeaux, Pessac, France; 3: Sunnybrook Research Institute, Toronto, Canada

A multi-scale analysis of the impact of measurement and physiological uncertainty on electrocardiograms

Ludovica Cicci¹, Shuang Qian², Cristóbal Rodero¹, Fernando O. Campos², Marina Strocchi^1,2, Karli Gillette³, Gernot Plank^3,4, Martin J. Bishop², Steven A. Niederer^1,2,5

1: Imperial College London; 2: King's College London; 3: Medical University of Graz; 4: BioTechMed-Graz; 5: The Alan Turing Institute

Titin-mediated viscoelastic passive muscle mechanics

Filip Jezek¹, Anthony Baker³, David Nordsletten², Dan A Beard¹

1: Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA; 2: Departments of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA; 3: Veterans Affairs Medical Center, San Francisco, CA, and Department of Medicine, University of California, San Francisco, CA, USA

Multiscale fluid-structure interaction for the effective modeling of vascular tissues

Luca Heltai², Camilla Belponer³, Alfonso Caiazzo¹, Lucas O. Müller⁴, Paolo Zunino⁵

1: WIAS Berlin, Germany; 2: University of Pisa; 3: University of Augsburg; 4: University of Trento; 5: Politecnico di Milano

An automated pipeline to investigate the impact of intracranial internal carotid artery calcifications on cerebrovascular events

Federica Fontana^1,2, Fennika S. C. Huijben^1,2, Aikaterini Tziotziou², Brian B. P. Berghout^3,4,5, Frank J. H. Gijsen^1,2, Ali C. Akyildiz^1,2, Selene Pirola¹

1: Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands; 2: Department of Biomedical Engineering, Erasmus Medical Center, Rotterdam, The Netherlands; 3: Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; 4: Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands; 5: Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands

Impact of atrial rotor dominant frequency on flecainide and vernakalant cardioversion ratio

Violeta Puche-García¹, Laura Martínez-Mateu², David Filgueiras-Rama³, Lucía Romero¹, Javier Saiz¹

1: Centro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València, Spain; 2: Grupo de investigación de alto rendimiento en Ingeniería Biomédica y Ciencia de Datos (BigMed+), Universidad Rey Juan Carlos, Spain; 3: Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain

Predicting chronic cardiac responses to angiotensin receptor/neprilysin inhibitor using a physiological model of heart failure with preserved ejection fraction

John S. Clemmer¹, W. Andrew Pruett^1,2, Robert L. Hester^1,2, Marion R. Wofford¹

1: University of Mississippi Medical Center, United States of America; 2: HC Simulation

Coagulation cascade systems modeling for oral anticoagulant monitorization in atrial fibrillation patients

Maria Segarra-Queralt, Marina Ribera, Andy L. Olivares, Oscar Camara

BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Spain

A multiscale and multiphase digital twin of function-perfusion processes in the human liver

Tim Ricken¹, Steffen Gerhäusser¹, Lena Lambers¹, Luis Mandl¹, Matthias König², Uta Dahmen³, Hans-Michael Tautenhahn⁴

1: University of Stuttgart, Germany; 2: Humboldt Universität zu Berlin, Germany; 3: University Hospital Jena, Germany; 4: University Hospital Leipzig, Germany

Patient specific prediction of portal vein pressure after liver surgery: Sensitivity, identifiability and uncertainty quantification

Roel Meiburg¹, Sala Lorenzo², Kevin Hakkakian^1,3,4, Nicolas Golse^3,4, Irene Vignon-Clementel¹

1: Inria, France; 2: Inrae, France; 3: Université Paris-Saclay, France; 4: Inserm Physiopathogénèse et traitement des maladie du foie, France

A multi-compartment perfusion model for hierarchical vessel networks with application to liver regrowth

Jannes Hohl, Adnan Ebrahem, Etienne Jessen, Dominik Schillinger

Technical University of Darmstadt, Germany

Towards sustainable simulation pipelines for human liver decision support

Steffen Gerhäusser¹, Lena Lambers¹, Luis Mandl¹, Ishaan Desai², Benjamin Uekermann², Matthias König³, Tim Ricken¹

1: Institute of Structural Mechanics and Dynamics in Aerospace Engineering, University of Stuttgart, Germany; 2: Institute of Parallel and Distributed Systems, University of Stuttgart, Germany; 3: Systems Medicine of the Liver Lab, Institute for Biology, Humboldt-University Berlin, Germany

Exploring ethnic diversity in glaucoma surgery efficacy using computational fluid dynamics

Nicol Basson¹, Patrick Geoghegan², Susan Williams¹, Weihua Ho³

1: The University of the Witwatersrand, Johannesburg, South Africa; 2: Aston University, Birmingham, United Kingdom; 3: University of Cape Town, Cape Town, South Africa

A computational fluid dynamic study on graft detachment in the human eye for postoperative endothelial keratoplasty

Eva Cheng¹, Nikki Basson¹, Wei Hua Ho^1,2

1: University of the Witwatersrand, South Africa; 2: University of Cape Town, South Africa

CANCELLED - Patient-specific long-term prediction of transcatheter edge-to-edge mitral valve repair

Natalie Simonian, Michael S Sacks

University of Texas at Austin, United States of America

Functional assessment of patients with mitral valve defect augmented by biomechanical modeling: Contractile reserve of the heart and in-silico valve repair

Hoang Nguyen¹, Maria Gusseva¹, Sanja Dzelebdzic^1,2, Gerald Greil¹, Tarique Hussain¹, Radomir Chabiniok¹

1: UT Southwestern Medical Center Dallas, Texas, USA; 2: The University of Utah, Salt Lak City, UT, USA

Model reduction for fluid-solid simulations to assess hemodynamics of mitral valve regurgitation and repair

Marc Hirschvogel¹, Mia Bonini³, Maximilian Balmus², David Nordsletten^3,4

1: MOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy; 2: TRIC-DT, The Alan Turing Institute, National Heart and Lung Institute, Imperial College London, London, UK; 3: Department of Biomedical Engineering, University of Michigan, Ann Arbor, USA; 4: Department of Cardiac Surgery, University of Michigan, Ann Arbor, USA

Influence of valve shape on mitral valve hemodynamics: An in-silico study

Juliana Franz^1,2, Jan Brüning^1,2, Leonid Goubergrits^1,2, Alexandra Groth³, Titus Kühne^1,2, Valentina Lavezzo⁴, Irina Waechter-Stehle³, Katharina Vellguth^1,2

1: Charité - Universitätsmedizin Berlin, Germany; 2: Deutsches Herzzentrum der Charité, Institute of Computer-assisted Cardiovascular Medicine, Germany; 3: Philips Innovation Technologies, Hamburg, Germany; 4: Philips, Eindhoven, The Netherlands

Synthetic cohort of mitral valve anatomies based on statistical shape modeling

Katharina Vellguth^1,2, Lukas Obermeier^1,2, Jonathan Nestmann³, Serdar Akansel^1,4, Leonid Goubergrits^1,2

1: Charité - Universitätsmedizin Berlin, Germany; 2: Deutsches Herzzentrum der Charité, Institute of Computer-assisted Cardiovascular Medicine, Germany; 3: ETH Zürich, Department of Information Technology and Electrical Engineering, Switzerland; 4: Deutsches Herzzentrum der Charité, Department of Cardiothoracic and Vascular Surgery, Germany

Articular cartilage systems mechanobiology: A multiscale tissue model of the knee cartilage

Andreu Pascuet-Fontanet, Maria Segarra-Queralt, Jérôme Noailly

BCN MedTech, Universitat Pompeu Fabra, Spain

Pixel2Mechanics: Automated biomechanical simulations of high-resolution intervertebral discs from anisotropic MRIs

Estefano Muñoz-Moya¹, Sai Natarajan^1,2, Morteza Rasouligandomani¹, Carlos Ruiz Wills¹, Francis Chemorion^1,4, Ludovic Humbert^2,3, Miguel A. González Ballester¹, Gemma Piella¹, Jérôme Noailly¹

1: BCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; 2: Galgo Medical S.L., Barcelona, Spain; 3: 3D-Shaper Medical S.L., Barcelona, Spain; 4: IT, Department of Information Technology, InSilicoTrials Technologies, Trieste, Italy

Computational modeling of articular cartilage mechanics: Insights and validation

Franziska S. Egli, Seyed Morteza Seyedpour, Tim Ricken

University of Stuttgart, Germany

Application of an FSI-based model to optimize mechanically stimulated structured hydrogel scaffolds for cartilage cell differentiation

Pedram Azizi, Christoph Drobek, Ursula van Rienen, Hermann Seitz

Universität Rostock, Germany

Model investigation of the energy density resulting from the absorption and scattering of radiation in multi-layer skin tissue structures

Seyed Morteza Seyedpour^1,2, Lena Lambers^1,2, Hans-Michael Tautenhahn³, Franziska Tautenhahn⁴, Tim Ricken^1,2

1: Institute of Structural Mechanics and Dynamics in Aerospace Engineering, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Pfaffenwaldring, 27 Stuttgart, 70569, Germany; 2: Biomechanic Lab, Institute of Structural Mechanics and Dynamics in Aerospace Engineering, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart , Pfaffenwaldring 27, Stuttgart, 70569, Germany; 3: Department of Visceral, Transplantation, Thoracic and Vascular Surgery, Leipzig University Hospital, Liebigstraße 20, Leipzig, 04103, Germany; 4: Clinic and OPD for Oral and Maxillofacial Surgery / Plastic Surgery, Am Klinikum 1, Jena 07747, Germany

Generality and applicability in developing virtual epithelial tissues models

Lorenzo Veschini¹, Joel Vanin¹, Michael Getz¹, Alison Stephens², Catherine Mahony², James A Glazier¹

1: Indiana University, United Kingdom; 2: Procter & Gamble

A computationally efficient deep learning model for high-resolution transient hemodynamics estimation in complex vascular geometries

Noah Maul^1,2, Katharina Zinn¹, Fabian Wagner¹, Mareike Thies¹, Maximilian Rohleder^1,2, Laura Pfaff^1,2, Markus Kowarschik², Annette Birkhold², Andreas Maier¹

1: Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; 2: Siemens Healthineers AG, Forchheim, Germany

Parameter estimation in cardiac biomechanical models based on physics-informed neural networks

Federica Caforio^1,2,3, Francesco Regazzoni⁴, Stefano Pagani⁴, Matthias Höfler¹, Elias Karabelas^1,2,3, Christoph Augustin^2,3, Gernot Plank^2,3, Gundolf Haase^1,3, Alfio Quarteroni^4,5

1: Department of Mathematics and Scientific Computing, NAWI Graz, University of Graz (Austria); 2: Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz (Austria); 3: BioTechMed-Graz (Austria); 4: MOX, Department of Mathematics, Politecnico di Milano (Italy); 5: Institute of Mathematics, EPFL (Switzerland) (Professor Emeritus)

Finite volume informed graph attention network for solving partial differential equations — Application to myocardial perfusion

Raoul Sallé de Chou^1,2, Matthew Sinclair³, Sabrina Lynch³, Nan Xiao³, Laurent Najman⁴, Hugues Talbot², Irene Vignon-clementel¹

1: Inria, Palaiseau, France; 2: CentraleSupelec, Inria, Université Paris-Saclay, France; 3: HeartFlow Inc., Redwood City, USA; 4: ESIEE, Université Gustave Eiffel, France

Machine learning-based models to predict axillary lymph node metastasis in breast cancer patients

Alba Fischer-Carles^1,2,4, Carlos López Pablo^1,2,3, Esther Sauras-Colón^1,2, Noèlia Gallardo-Borràs^1,2, Alessio Fiorin^1,2,3, Mikel R. Ortiz de Uriarte^1,2, Laia Reverté Calvet^1,2, Marylène Lejeune^1,2,3, Elena Goyda², Laia Adalid Llansa², Daniel Mata Cano², Ramon Bosch Príncep², Jérôme Noailly⁴, Gemma Piella⁴

1: Oncological Pathology and Bioinformatics Research Group, Institut d'Investigació Sanitària Pere i Virgili, Tortosa, Spain; 2: Department of Pathology, Hospital de Tortosa Verge de la Cinta, Institut Català de la Salut, Tortosa, Spain; 3: Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain; 4: BCN MedTech, Department of Information and Communications Technologies, Universitat Pompeu Fabra, Barcelona, Spain

Predicting post-traumatic stress disorder (PTSD) symptoms in women suffering from breast cancer using machine learning

Konstantinos N. Rizavas¹, Eleni A. Klokotroni¹, Paula Poikonen-Saksela², Georgios S. Stamatakos¹

1: National Technical University of Athens, Athens, Greece; 2: Helsinki University Hospital, Helsinki, Finland

Shear wave elastography for simulating tibialis anterior muscle forces in vivo

Cemre Su Kaya Keles, Jennifer Hiller, Manuela Zimmer, Filiz Ates

Institute of Structural Mechanics and Dynamics in Aerospace Engineering, University of Stuttgart, Stuttgart, Germany

Muscle architecture and contractile properties of the human M. tibialis anterior

Lukas Vosse^1,2, Annika Sahrmann², Oliver Röhrle², Tobias Siebert¹

1: University of Stuttgart, Department of Motion and Exercise Science, Allmandring 28, 70569 Stuttgart, Germany; 2: University of Stuttgart, Department of Continuum Biomechanics and Mechanobiology, Pfaffenwaldring 5A, 70569 Stuttgart, Germany

Predicting passive and active triceps surae muscle forces by integrating magnetic resonance image-based 3D finite element modelling and ultrasound shear wave elastography

Manuela Zimmer^1,2, Geoffrey Handsfield², Filiz Ates¹

1: University of Stuttgart, Germany; 2: Auckland Bioengineering Institute, New Zealand

Patient-specific geometry and deformation for real-time visualization of musculoskeletal biomechanics via 3D ultrasound

David Rosin^1,2, Annika Sahrmann^1,2, Christian Bleiler¹, Oliver Röhrle^1,2

1: University of Stuttgart - Institute for Modelling and Simulation of Biomechanical Systems, Germany; 2: Stuttgart Center of Simulation Science (SC SimTech)

An activation-driven musculoskeletal finite element model of the human shoulder

Laura Engelhardt¹, Renate Sachse¹, Rainer Burgkart², Wolfgang A. Wall¹

1: Institute for Computational Mechanics, Technical University of Munich, Germany; 2: Department of Orthopaedics and Sports Orthopaedics, University Hospital rechts der Isar, Technical University of Munich, Germany

CANCELLED - Investigation of surrogate methods for an electrophysiological skeletal muscle model

Robin Lautenschlager, Dominik Göddeke, Carme Homs-Pons, Oliver Röhrle, Laura Schmid, Miriam Schulte

University of Stuttgart, Germany

CANCELLED - Digital twins for interventional procedures

Annette Birkhold

Siemens Healthineers AG, Germany

Exploring the effect of feto-placental vasculature and oxygenation on T2* MRI using mathematical modelling

Diana M. Cruz de Oliveira¹, Paddy J. Slator^2,3, ZhuangJian Yang², Kelly Payette⁴, Jana Hutter^4,5, Lisa Story⁶, Joseph V. Hajnal⁴, Daniel C. Alexander², Rebecca Shipley¹

1: Dept. Mechanical Engineering, University College London, London, UK; 2: Centre for Medical Image Computing and Dept. of Computer Science, University College London, London, UK; 3: Cardiff University Brain Research Imaging Centre and School of Computer Science and Informatics, Cardiff University, Cardiff, UK; 4: Centre for the Developing Brain and Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK; 5: Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany; 6: Department of Women and Children's Health, School of Life Course Sciences, King’s College London, London, UK

Advanced magnetic resonance imaging techniques offer a virtual tool for assessing physiological mechanisms of human muscular mechanics in vivo

Arda Arpak¹, Seda Yildiz², Agah Karakuzu³, Can A Yucesoy¹

1: Institute of Biomedical Engineering, Boğaziçi University, İstanbul, Turkey; 2: Health Science Faculty, Physiotherapy and Rehabilitation Department, Haliç University, İstanbul, Turkey; 3: Biomedical Engineering Institute, Polytechique Montreal, Montreal, Quebec, Canada

Energy-based method for identifying misclassified kidney boundary segmentations using CT scans

Andreea Elena Vântu^1,2, Daniel Bunescu^1,2, Alexandru Mihnea Ion^1,2, Lucian Mihai Itu^1,2

1: Electrical Engineering and Computer Science, Transilvania University, Brasov, Romania; 2: Advanta, Siemens SRL, Brasov, Romania

Modelling and dynamic imaging: A few examples for clinical applications

Irene Vignon-Clementel

Inria, France

CANCELLED - High-speed real heart simulations using a neural network finite element approach

Shuti Motiwale, Michael S Sacks

University of Texas at Austin, United States of America

Adaptive reduced-order models for cardiac simulations

Sridhar Chellappa¹, Barış Cansız², Lihong Feng¹, Peter Benner¹, Michael Kaliske²

1: Max Planck Institute for Dynamics of Complex Technical Systems, 39106 Magdeburg, Germany; 2: Institute for Structural Analysis, Technische Universität Dresden, 01062 Dresden, Germany

Surrogate modeling of finite deformation hyperelasticity of human myocardial tissue

Osman Gültekin, Baris Cansiz, Ahmad Moeineddin, Michael Kaliske

Technische Universität Dresden, Germany

Bridging computational efficiency, sex differences, and clinical accuracy: Surrogate modeling in cardiotoxicity assessment

Alberto Zingaro¹, Paula Dominguez¹, Caterina Balzotti¹, Laura Baldo¹, Jazmin Aguado Sierra¹, Mariano Vazquez^1,2

1: ELEM Biotech SL, Barcelona, Spain; 2: Barcelona Supercomputing Center, Barcelona, Spain

Physiology-informed machine learning to guide heart failure diagnosis, prognosis, and treatment

Feng Gu, Brian Carlson, Filip Jezek, Daniel Beard

University of Michigan, United States of America

An experimental and modelling pipeline to develop metabolite-sensitive cardiac cross-bridge models

Julia H Musgrave¹, June-Chiew Han¹, Marie-Louise Ward², Andrew J Taberner^1,3, Kenneth Tran¹

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Department of Physiology, University of Auckland, New Zealand; 3: Department of Engineering Science and Biomedical Engineering, University of Auckland, New Zealand

Hemodynamics of an implanted pressure sensor in porcine and human pulmonary artery

Leonid Goubergrits¹, Pavlo Yevtushenko¹, Adriano Schlief¹, Jan Romberg², Titus Kuehne¹, Andreas Arndt^2,3,4, Jan Bruening¹

1: Deutsches Herzzentrum der Charité, Berlin, Germany; 2: Biotronik, Berlin, Germany; 3: Technische Universität Dresden, Germany; 4: Kurt-Schwabe-Institut für Mess- und Sensortechnik Meinsberg e.V., Meinsberg, Germany

Turbulence modeling in aortic blood flow: Traditional models and perspectives on machine learning

Sarah Katz¹, Alfonso Caiazzo¹, Volker John^1,2

1: Weierstrass Institute for Applied Analysis and Stochastics, Germany; 2: Freie Universität Berlin, Germany

Estimation of exercise-induced pressure drop across aortic coarctations: A comparison of in vitro measurements and FSI simulations

Priya J. Nair^1,2, Emanuele Perra³, Doff B. McElhinney^1,2, Daniel B. Ennis^1,2,4, Alison L. Marsden^1,2, Seraina A. Dual³

1: Stanford University, USA; 2: Stanford Cardiovascular Institute, USA; 3: KTH Royal Institute of Technology, Sweden; 4: VA Palo Alto Healthcare System, USA

Simulation of the hemodynamics of a patient-specific artery at the full-body scale

Xiao-Chuan Cai

University of Macau, Macau S.A.R. (China)

A detailed 1D model of the feto-placental hemodynamics to investigate hypertensive disorders of pregnancy

Pascalle Wijntjes^1,2,3,4, Jérôme Kowalski³, Sjeng Quicken¹, Beatrijs van der Hout-van der Jagt^1,2,4, Irene Vignon-Clementel³, Frans van de Vosse^1,4, Wouter Huberts^1,4

1: Eindhoven University of Technology, Netherlands, The; 2: Máxima Medical Centre, the Netherlands; 3: INRIA, France; 4: e/MTIC, the Netherlands

The impact of clot permeability on thrombus growth in different hemodynamic scenarios

Niksa Mohammadi Bagheri, Gábor Závodszky, Alfons G. Hoekstra

Computational Science Lab, Informatics Institute, University of Amsterdam, Amsterdam, Netherland

The COmputational MOdelling in BIology NEtwork in 2024: Standards and services for the computational physiology community and beyond

David Phillip Nickerson¹, Martin Golebiewski², Thomas E. Gorochowski³, Sarah M. Keating⁴, Matthias König⁵, Chris J. Myers⁶, Falk Schreiber⁷, Dagmar Waltemath⁸, Padraig Gleeson⁹

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Heidelberg Institute for Theoretical Studies - HITS gGmbH, Heidelberg, Germany; 3: School of Biological Sciences, University of Bristol, Bristol, UK; 4: Advanced Research Computing Centre, University College London, UK; 5: Faculty of Life Science, Institute for Biology, Institute for Theoretical Biology, Humboldt-University Berlin, Berlin, Germany; 6: Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, USA; 7: Department of Computer and Information Science, University of Konstanz, Konstanz, Germany; 8: Medical Informatics Laboratory, University Medicine Greifswald, Germany; 9: Department of Neuroscience, Physiology and Pharmacology, University College London, UK

BayModTS: A FAIR Bayesian workflow to process variable and sparse time series data

Sebastian Höpfl, Nicole Radde

University of Stuttgart, Germany

The reproducibility and credibility of biomedical models

Herbert Martin Sauro

University of Washington, United States of America

Reproducible digital twins for personalized liver function assessment

Matthias König

Humboldt University Berlin, Germany

The role of standards in defining an ecosystem for virtual human twins (VHTs)

Martin Golebiewski, Gerhard Mayer, Wolfgang Müller

Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany

Model reuse - Lessons learned from 20 years of sharing CellML models

Hugh Sorby, Alan Garny, Tommy Yu, David Nickerson

University of Auckland, New Zealand

Modelling the electrophysiology of the non-pregnant uterus: From interconnected cells to organ

Alys Clark, Mathias Roesler, Shawn Means, Amy Garrett, Leo Cheng

University of Auckland, New Zealand

Computational modeling of the effect of laser tissue soldering on colonic motility

René Thierry Djoumessi¹, Pietro Lenarda¹, Pietro Alduini², Marco Paggi¹, Alessio Gizzi³

1: IMT School for Advanced Studies Lucca, Italy; 2: Hospital of Saint Luca, Italy; 3: Università Campus Bio-Medico di Roma, Italy

Neural stimulation modifies the organ-scale coordination of rat gastric slow waves

Omkar N. Athavale, Recep Avci, Alys R. Clark, Leo K. Cheng, Peng Du

University of Auckland, New Zealand

Computational modelling of the human gastric peristalsis

Maire Salina Henke¹, Sebastian Brandstaeter², Alessio Gizzi³, Roland Can Aydin^1,4, Christian Johannes Cyron^1,4

1: Institute for Continuum and Material Mechanics, Hamburg University of Technology, Germany; 2: Institute for Mathematics and Computer-Based Simulation, University of the Bundeswehr Munich, Germany; 3: Department of Engineering, Campus Bio-Medico University of Rome, Italy; 4: Institute of Material Systems Modeling, Helmholtz-Zentrum Hereon, Germany

Exploring host-microbiota interactions through mechanistic modelling: Insights into diet impact on beneficial symbiosis resilience in the human gut

Marie Haghebaert^1,2,3, Béatrice Laroche^1,2, Lorenzo Sala^1,2, Stanislas Mondot⁴, Joel Doré^4,5

1: Université Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, 78350, France; 2: Université Paris-Saclay, INRIA, MUSCA, Palaiseau, 91120, France; 3: Université Paris-Saclay, INRIA, SIMBIOTX, Palaiseau, 91120, France; 4: Micalis Institute, INRAE, AgroParisTech, University Paris-Saclay, Jouy-en-Josas, 78350, France; 5: Université Paris-Saclay, MGP, INRAE, Jouy-en-Josas, 78350, France

Predictive modelling of renal circulation hemodynamic outcomes in hypertensive and diabetic kidney disease

Ning Wang^1,2, Ivan Benemerito^1,2, Steven Sourbron^1,3, Alberto Marzo^1,2

1: INSIGNEO Institute for in silico medicine, The University of Sheffield, UK; 2: Department of Mechanical Engineering, The University of Sheffield, UK; 3: School of Medicine and Population Health, The University of Sheffield, UK

Virtual anatomical diagnosis of veridical human stroke patients

William W Lytton^1,2, Jung-Hyun Lee^1,2, Eunhee Choi⁴, Minjae Cho^1,2, Robert McDougal³

1: DHSU, United States of America; 2: Kings County Hospital, USA; 3: Yale University, USA; 4: Lincoln Medical Center, USA

Interpretable and generalizable mortality prediction in critical care settings: Integrating mechanistic knowledge with machine learning

Moein Einollahzadeh Samadi, Andreas Schuppert

University Hospital RWTH Aachen, Germany

Explainable machine learning explained in medicine

Karol Przystalski

Codete Global, Poland

A deep learning approach to discriminate sodium and chloride muscle channelopathies

Emilie Ismailova¹, Alina Roitberg¹, Justus Marquetand², Thomas Klotz¹, Zoia Lateva³, Oliver Röhrle¹

1: University of Stuttgart, Germany; 2: University of Tuebingen, Germany; 3: VA Palo Alto Health Care System, CA, USA

Hybridising standard reduced-order modelling methods with interpretable sparse neural networks for real-time patient specific lung simulations

Alexandre Daby-Seesaram^1,2, Kateřina Škardová^1,2, Martin Genet^1,2

1: Laboratoire de Mécanique des Solides, École Polytechnique/ CNRS/IPP, France; 2: INRIA, France

Uncovering motor-unit activity in magnetomyography

Nima Noury^1,2,3, Justus Marquetand^1,2,3,4, Markus Siegel^1,2,3

1: Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany; 2: Centre for Integrative Neuroscience, University of Tübingen, Germany; 3: MEG Center, University of Tübingen, Germany; 4: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany

How distance affects the magnetic muscle signal - An in-vivo and in-silico study

Haodi Yang

University of Tuebingen, Germany

Clinical possibilities

Justus Carl Marquetand^1,2,3

1: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany, Germany; 2: Department of Neural Dynamics and Magnetoencephalography, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; 3: MEG-Center, University of Tübingen, Tübingen, Germany

Impact of endomysium on fiber bundle passive and active mechanics for intact and chemically skinned fibers

Paolo Carlo Danesini¹, André Tomalka², Tobias Siebert^2,3, Filiz Ateş¹

1: Institute of Structural Mechanics and Dynamics in Aerospace Engineering, University of Stuttgart, Germany; 2: Motion and Exercise Science, University of Stuttgart, Germany; 3: Stuttgart Center for Simulation Science, University of Stuttgart, Germany

Exploring the variability in neuromotor control to perform common locomotor tasks

Giorgio Davico, Alex Bersani, Marco Viceconti

Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Italy

Multi-scale modeling approach to determine phrenic nerve activation threshold

Laureen Wegert¹, Alexander Hunold^1,2, Marek Ziolkowski¹, Tim Kalla¹, Irene Lange¹, Jens Haueisen¹

1: Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany; 2: neuroConn GmbH, Ilmenau, Germany

Open Knee(s): Computational Knee Biomechanics Resource Growth and Utilization

Ahmet Erdemir, Snehal Chokhandre

Computational Biomodeling (CoBi) Core and Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic

KNEEHUB: Implementation of the Delphi method to achieve consensus in the modeling and simulation processes and credibility activities in the knee

Jason Halloran¹, Snehal Chokhandre², Peter Laz³, Thor Besier⁴, Carl Imhauser⁵, Kevin Shelburne³, Ahmet Erdemir²

1: Washington State University, United States of America; 2: Cleveland Clinic, United States of America; 3: University of Denver, United States of America; 4: University of Auckland, New Zealand; 5: Hospital for Special Surgery, United States of America

Toward an accurate digital twin: In vivo model calibration

Thor E. Andreassen, Peter J. Laz, Casey A. Myers, Kevin B. Shelburne

Mechanical and Materials Engineering, University of Denver, United States of America

Multi-scale modeling for in silico prediction of patient-specific risk of cartilage degeneration: Insights from a prospective follow-up study in patients with knee OA

Seyed Ali Elahi, Bryce Killen, Yixuan Zhang, Miel Willems, Ikram Mohout, Sabine Verschueren, Frank Luyten, Ilse Jonkers

KU Leuven, Belgium

Distinct knee pathomechanics of females compared to males: A population-based in-silico analysis

Carl Imhauser³, Mitchell Wheatley³, Mark Amirtharaj¹, David Shamritsky³, Andrew Pechstein³, Jacob Zeitlin³, Jacob Hirth³, Danyal Nawabi¹, Thomas Wickiewicz¹, Bruce Beynnon², Andrew Pearle¹

1: Sports Medicine Institute, Hospital for Special Surgery; 2: Larner College of Medicine, University of Vermont; 3: Biomechanics Department, Hospital for Special Surgery

Digital twins for oncology and patient-specific simulations: Importance of vascularization

Diego Sainz-DeMena, Silvia Hervas-Raluy, Ángela Pérez-Benito, Maria Jose Gomez-Benito, José Manuel García-Aznar, María Ángeles Pérez

Department of Mechanical Engineering, Aragon Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain

Digital twin of prostate cancer tumour growth: A multiphysics approach

Ángela Pérez-Benito, María José Gómez-Benito, José Manuel García-Aznar, María Ángeles Pérez

Universidad de Zaragoza, Spain

Multiphasic modelling and patient-specific simulation of tumours in soft tissue with OncoFEM

Marlon Suditsch¹, Tim Ricken¹, Arndt Wagner²

1: Institute of Structural Mechanics and Dynamics, in Aerospace Engineering, University of Stuttgart, Germany; 2: Institute of Applied Mechanics (CE), University of Stuttgart, Germany

Modeling hypoxia-induced radiation resistance and the impact of radiation sources

Luca Possenti¹, Piermario Vitullo², Alessandro Cicchetti¹, Paolo Zunino², Tiziana Rancati¹

1: Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Italy; 2: MOX, Department of Mathematics, Politecnico di Milano, Italy

Efficient radial-shell model for 3D tumor spheroid dynamics with radiotherapy

Florian Franke¹, Sona Michlikova^2,3, Sebastian Aland^1,4,5, Leoni Kunz-Schughart^2,6, Anja Voss-Böhme¹, Steffen Lange^1,2

1: Faculty of Informatics/Mathematics, HTW Dresden - University of Applied Sciences (HTWD), Germany; 2: OncoRay - National Center for Radiation Research in Oncology, Technische Universität Dresden; 3: Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology—OncoRay, Germany; 4: Faculty of Mathematics and Computer Science, TU Freiberg, Germany; 5: Center for Systems Biology Dresden (CSBD), Germany; 6: National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany

Virtual tissue constructs to assess the potential of electrical impedance spectroscopy as a method for tissue identification and pathology diagnosis

Malwina Matella^1,2, Keith Hunter³, Zi-Qiang Lang^1,2, Zhicheng Lin^1,2, Dawn Walker^1,2

1: Department of Computer Science, University of Sheffield, United Kingdom; 2: Insigneo Institute of in silico Medicine, University of Sheffield, United Kingdom; 3: Liverpool Head and Neck Centre, Molecular and Clinical Cancer Medicine, University of Liverpool

Can riot-control water cannon be lethal?

Yinze LEI¹, Jing XIE¹, María González García², Daniel Rittel³

1: Beijing Institute of Technology, 100081, Beijing, China; 2: Department of Biomechanics and Accident Research, Ludwig-Maximilians-University Munich, Munich, Germany.; 3: Faculty of Mechanical Engineering, Technion - Israel Institute of Technology, 32000 Haifa, Israel

In silico modelling of the effect of vaping on pulmonary surfactant dynamics from alveolus to whole lung

Ruobing Li, Alys Clark, Merryn Tawhai, David Nickerson, Kelly Burrowes

Auckland Bioengineering Institute, University of Auckland, New Zealand

How does utero-placental vascular structure drive Doppler ultrasound?

Nipuni D. Nagahawatte¹, Toby Jackson¹, Joanna James², Alys R. Clark¹

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, University of Auckland, New Zealand

Exploring the interaction between electrical stimulation and cells by an image-based digital twin

Vien Lam Che¹, Meike Bielfeldt², Nils Arbeiter¹, Barbara Nebe², Ursula van Rienen¹, Julius Zimmermann^1,3

1: University of Rostock, Germany; 2: Rostock University Medical Center; 3: University of Pavia

Using sequential nephron segment simulation to understand mechanisms of diuretic resistance

W Andrew Pruett¹, Marion Wofford², John S Clemmer¹, Robert L Hester¹

1: Department of Physiology, University of Mississippi Medical Center, United States of America; 2: Department of Medicine, University of Mississippi Medical Center, United States of America

Agent-based simulation of diffusion-MRI for the characterization of NASH

Charles Boulitrop, Jiři Pešek, Dirk Drasdo

Group SIMBIOTX, INRIA Saclay, 91120 Palaiseau, France

Role of conduction channels in ventricular arrhythmias: Insights from in silico simulation and clinical data

Javier Villar-Valero¹, Juan F Gomez², David Soto-Iglesias³, Diego Penela³, Antonio Berruezo³, Beatriz Trenor¹

1: Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain; 2: Valencian International University, Valencia, Spain; 3: Arrhythmia Department, Heart Institute, Teknon Medical Center, Barcelona, Spain

Electrical power and energy distributions in AF activation could direct to areas of rotor stabilization

Guadalupe Garcia-Isla¹, Yaiza Sánchez¹, Laura Martínes-Mateu², Javier Saiz¹, Omer Berenfeld³

1: Universitat Politècnica de València, Valencia, Spain; 2: Universidad Rey Juan Carlos, Madrid, Spain; 3: University of Michigan, Ann Abor, Michigan, USA

Inform design of a pulmonary artery pressure sensor using virtual cohorts

Jan Brüning^1,2, Adriano Schlief^1,2, Pavlo Yevtushenko^1,2, Jan Romberg³, Andreas Arndt^3,4,5, Leonid Goubergrits^1,2

1: Institute of Computer-assisted Cardiovascular Medicine, Charité – Universitätsmedizin Berlin; 2: Deutsches Herzzentrum der Charité; 3: Biotronik SE & Co. KG; 4: Technische Universität Dresden, Germany; 5: Kurt-Schwabe-Institut für Mess- und Sensortechnik Meinsberg e.V., Meinsberg, Germany

Modelling sodium transport in kidney tubuloids

Sangita Swapnasrita^1,2, Anita Layton³, Aurelie MF Carlier¹

1: Maastricht University, the Netherlands; 2: UMC Utrecht, the Netherlands; 3: University of Waterloo, Canada

Utilising self-similarity to model the morphometry of the pulmonary arteries

Atefeh Rahimi¹, Joyce John¹, Alys Clark¹, Kelly Burrowes¹, Farbod N Rahaghi², Raul San Jose Estepar², Merryn Tawhai¹

1: University Of Auckland, Bioengineering Institute, New Zealand; 2: Brigham and Women’s Hospital (BWH) and Harvard Medical School (HMS)

3D model of the iliac vein unification – Sensitivity analysis

Magdalena Otta^1,2,3, Jan Meizner¹, Ian Halliday^2,3, Maciej Malawski^1,5, Chung Lim⁴, Janice Tsui^4,6, Andrew Narracott^2,3

1: Sano Centre for Computational Medicine, Poland; 2: Division of Clinical Medicine, University of Sheffield, United Kingdom; 3: Insigneo Institute for in silico medicine, University of Sheffield, United Kingdom; 4: Royal Free London NHS Foundation Trust, United Kingdom; 5: Institute of Computer Science, AGH University of Science and Technology, Kraków, Poland; 6: University College London, London, UK

Evaluating the flow convergence method in mitral regurgitation analysis: Insights from computational fluid dynamics and pulsatile in-vitro studies

Alexander Stroh¹, Robin Leister¹, Roger Karl^2,3, Lubov Stroh⁴, Derliz Mereles³, Matthias Eden³, Luis Neff⁴, Raffaele de Simone², Gabriele Romano², Matthias Karck², Christoph Lichtenstern⁴, Norbert Frey³, Jochen Kriegseis¹, Bettina Frohnapfel¹, Sandy Engelhardt^2,3

1: Institute of Fluid Mechanics (ISTM), Karlsruhe Institute of Technology (KIT), Germany; 2: Department of Cardiac Surgery, Heidelberg University Hospital, Heidelberg, Germany.; 3: Department of Internal Medicine III, Heidelberg University Hospital, Heidelberg, Germany; 4: Department of Anaesthesiology, Heidelberg University Hospital, Heidelberg, Germany

In-silico design of wearable- and model-driven digital twins for cardiovascular disease monitoring

Bianca Maria Laudenzi, Lucas Omar Müller

University of Trento, Italy

Parameter estimation from undersampled MRI in frequency space

Miriam Löcke, Cristobal Bertoglio

University of Groningen, Netherlands, The

Computational study of the assessment of atria vulnerability to mutation-induced AF in 3D human atria

Rebecca Belletti¹, Joaquín Osca², Lucia Romero Perez¹, Javier Saiz¹

1: Universitat Politecnica de Valencia, Spain; 2: Hospital Universitari i Politecnic La Fe, Valencia, Spain

Mapping persistent atrial fibrillation dynamics: Insights from electro-optic flow analysis in a virtual patient population

Ovais Ahmed Jaffery, Alexander Zolotarev, Carlos E. Barrera, Cristobal Rodero, Steven Niederer, Edward J. Vigmond, Wilson W.Good, Gregory Slabaugh, Caroline H. Roney

Queen Mary University of London, United Kingdom

Integrating care: Abalietas as a bridge between clinical quality registers and electronic medical records for enhanced machine learning applications in healthcare

Krzysztof Gądek, Rafał Niżankowski, Adam Nowak, Dominik Radziszowski, Joanna Twaróg, Maja Więckiewicz

Sano – Centre for Computational Personalised Medicine International Research Foundation, Poland

PyPopSim: Form single simulation to population studies

Jeremy Laforet, Sofiane Boudaoud

Université de Technologie de Compiègne, Alliance Sorbonne Universités, CNRS, UMR 7338 Biomécanique et Bio-ingénierie, Centre de recherche Royallieu, CS 60 319 Compiègne, France

Towards international standardization of computational modeling and simulation in the field of medical devices

Charlott Danielson

Fraunhofer IMTE, Germany

A physiologically based digital twin for alcohol consumption – Predicting real-life drinking responses and long-term plasma PEth

Henrik Podéus¹, Christian Simonsson¹, Patrik Nasr¹, Mattias Ekstedt¹, Stergios Kechagias¹, Peter Lundberg¹, William Lövfors^1,2, Gunnar Cedersund^1,2

1: Linköping University, Sweden; 2: Örebro University, Sweden

Hipathia and metabolizer: Unveiling disease mechanisms and enabling personalized medicine

Kinza Rian, Joaquin Dopazo

Andalusian Platform for Computational Medicine, Spain

In silico modeling of cell migration over texturally treated curved surfaces

Majid Nazemi¹, Liesbet Geris^1,2,3,4

1: Biomechanics Research Unit, GIGA In Silico Medicine, University of Liège, Belgium; 2: Prometheus, division of Skeletal Tissue Engineering , KU Leuven, Belgium; 3: Biomechanics Section, KU Leuven, Belgium; 4: Skeletal Biology & Engineering Research Center, KU Leuven, Belgium

Systematic understanding and categorization of modeling & simulation context of use in knee biomechanics

Snehal Chokhandre, Ahmet Erdemir

Cleveland Clinic, United States of America

Sensitivity analysis of a finite element model predicting the fixation stability of tibial plateau fractures

Simon Comtesse^1,2, Alexander Crotta¹, Arvind von Keudell^2,3,4, Stephen J. Ferguson¹, Thomas Zumbrunn²

1: Institute for Biomechanics, ETH Zürich, Switzerland; 2: CustomSurg AG, Switzerland; 3: Brigham and Women's Hospital, Harvard Medical School, Boston, USA; 4: Bispebjerg Hospital, Copenhagen, Denmark

Designing a single-use novel surgical kit for a cervical facet cage implantation through iterative FE simulations

Luca Ciriello¹, Tomaso Villa^1,2

1: Department of Chemistry, Materials and Chemical Engineering “Giulio Natta” - LaBS, Politecnico di Milano (Italy); 2: IRCCS Istituto Ortopedico Galeazzi (Italy)

3D optical scanning toward personalised whole-body models

Alexander Dixon¹, Robin Laven¹, Poul Nielsen^1,2

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Department of Engineering Science, University of Auckland, New Zealand

A machine learning-based in silico assessment to predict human respiratory irritants and toxicity

Yunendah Nur Fuadah, Lulu Firdaus, Ki Moo Lim

Kumoh National Institue of Technology, Korea, Republic of (South Korea)

Unsupervised learning for MRI cross-scanner harmonization

Grace Wen¹, Alan Wang^1,3,4,, Vickie Shim^1,2,4, Samantha Holdsworth^2,3,4

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Mātai Medical Research Institute, Gisborne, New Zealand; 3: Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, New Zealand; 4: Centre for Brain Research, University of Auckland, New Zealand

Towards a realistic digital twins of coronary artery disease: Is a fluid-structure interaction simulations necessary?

Vittorio Lissoni, Marco Stefanati, Gabriele Dubini, Jose Felix Rodriguez Matas, Giulia Luraghi, Francesco Migliavacca

Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Italy

New perspectives on global sensitivity analysis for the creation of cardiovascular digital twins

Harry Saxton¹, Xu Xu², Torsten Schenkel³, Ian Halliday⁴

1: Materials & Engineering Research Institute, Sheffield Hallam University, Sheffield, United Kingdom; 2: Department of Computer Science, University of Sheffield, Sheffield; 3: Department of Engineering and Mathematics Sheffield Hallam University Sheffield, S1 1WB; 4: Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom

Digital-twin based assessment of atrial arrhythmias: Influence of anatomical and functional personalization strategies

Patricia Martínez Díaz¹, Jorge Sánchez², Albert Dasí³, Christian Götz^1,4, Laura Anna Unger^1,5, Nikola André Fitzen¹, Annika Haas⁵, Ursula Ravens⁶, Armin Luik⁵, Olaf Dössel¹, Axel Loewe¹

1: Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT); 2: Institute of Information and Communication Technologies (ITACA), Universitat Politècnica de València (UPV), Valencia, Spain; 3: Department of Computer Science, University of Oxford, Oxford, United Kingdom; 4: Department of Cardiology, University Hospital Heidelberg, Heidelberg Germany; 5: Städtisches Klinikum Karlsruhe, Karlsruhe, Germany; 6: Universitätsklinikum Freiburg, Freiburg, Germany

Advancements in multiphysics and multiscale modeling: Connecting computational cardiology with digital twinning

Luca Dede'

MOX-Mathematics Department, Politecnico di Milano, Italy

Next generation cardiac care: SimCardioTest cloud-based platform

Alessia Baretta¹, Yves Coudière², Oscar Camara³, Beatriz Trenor⁴, Hermenegild Arevalo⁵, Irene Balelli⁶, Romano Setzu⁷, Liesbet Geris⁸, Sylvain Benito⁹, Michele Barbier⁶, Maxime Sermesant⁶

1: InSilicoTrials Technologies, Italy; 2: Universite de Bordeaux, Bordeaux, France; 3: Universidad Pompeu Fabra, Barcelona, Spain; 4: Universitat Politecnica de Valencia, Valencia, Spain; 5: Simula Research Laboratory, Oslo, Norway; 6: Institut National De Recherche En informatique et Automatique, Sophia Antipolis, France; 7: Microport CRM, Clamart, France.; 8: VPH Institute, Leuven, Belgium; 9: Exact Cure, Nice, France

Uncertainty estimation in patient-specific cardiovascular models: The effect of sources of errors in 4D flow MRI and blood pressure

Kajsa Tunedal^1,2, Tino Ebbers^2,3, Gunnar Cedersund^1,2

1: Department of Biomedical Engineering, Linköping University, Linköping, Sweden; 2: Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; 3: Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden

Branching exponents of synthetic vascular trees under different optimality principles

Etienne Jessen¹, Marc C. Steinbach², Charlotte Debbaut³, Dominik Schillinger¹

1: Technical University of Darmstadt, Germany; 2: Leibniz University Hannover, Germany; 3: Ghent University, Belgium

Generation of organ-scale synthetic vasculature using mathematical optimization

Etienne Jessen¹, Marc C. Steinbach², Dominik Schillinger¹

1: TU Darmstadt, Germany; 2: Leibniz University Hannover, Germany

Modelling growth, remodelling and damage of arterial tissue: Application to cerebral vasospasm

Giulia Pederzani¹, Anne M. Robertson², Alfons G. Hoekstra¹, Paul N. Watton^2,3,4

1: Computational Science Lab, Informatics Institute, University of Amsterdam, Netherlands; 2: Department of Mechanical Engineering and Materials Science, University of Pittsburgh, USA; 3: Department of Computer Science, University of Sheffield, UK; 4: INSIGNEO Institute for in silico Medicine, University of Sheffield, UK

Computational modelling of coupled shear-induced NO signalling pathways in endothelial and smooth muscle cells of arterial walls

Fariba Bahadori, Merryn Tawhai, Alys Clark

University of Auckland, New Zealand

Do the clot mechanical properties affect the thrombectomy procedures? An in silico study

Virginia Fregona¹, Behrooz Fereidoonnezhad², Frank JH Gijsen^2,3, Jose Felix Rodriguez Matas¹, Francesco Migliavacca¹, Giulia Luraghi^1,2

1: Department of Chemistry, Materials and Chemical Engineering ‘Giulio Natta’, Politecnico di Milano, Italy; 2: Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands; 3: Department of Biomedical Engineering, Erasmus MC, Rotterdam, The Netherlands

Harmonising historic clinical gait datasets using image-based musculoskeletal models

Thor Besier¹, Laura Carman¹, Julie Choisne¹, Elyse Passmore², Luca Modenese³, Chris Carty⁴

1: University of Auckland, Auckland, New Zealand; 2: Royal Childrens Hospital, Melbourne, Australia; 3: University of New South Wales, Sydney, Australia; 4: Griffith University, Brisbane, Australia

An in silico world: Resources to accelerate the adoption of in silico trials

Marco Viceconti¹, Alfons Hoekstra², Frans de Vosse³, Francesco Pappalardo⁴, Liesbet Geris⁵, Marian Bubak⁶, Jos Vander Sloten⁷, Vincenzo Carbone⁸, Elisabetta Biasin⁹

1: Alma Mater Studiorum - University of Bologna, Italy; 2: Computational Science Lab – University of Amsterdam, the Netherlands; 3: Technical University of Eindhoven, Department of Biomedical Engineering, Netherlands; 4: Department of Drug and Health Sciences, University of Catania, Italy; 5: University of Liège, KU Leuven, VPH institute, Belgium; 6: Sano Centre for Computational Medicine: Krakow, Poland; 7: KU Leuven – Mechanical Engineering Department, Biomechanics section, Belgium; 8: InSilicoTrials Technologies SpA, Trieste, Italy; 9: KU Leuven Centre for IT & IP Law – imec

Computer modelling and simulation in clinics: Longitudinal mapping of usage and clinician’s trust in in silico medicine

Zita Van Horenbeeck^1,2, Raphaëlle Lesage¹, Artem Platonov¹, Martina Contin¹, Michiel van Oudheusden², Elisa Lievevrouw², Bernard Staumont⁴, Janaki Raman Rangarajan¹, Silvia Schievano³, Ine Van Hoyweghen², Claudio Capelli³, Liesbet Geris^1,4,5

1: Virtual Physiological Human Institute (VPHi), Belgium; 2: Centre for Sociological Research, KU Leuven, Belgium; 3: Institute of Cardiovascular Science, University College London, London, UK; 4: GIGA Research Institute, University of Liège, Belgium; 5: Division of Biomechanics, KU Leuven, Belgium

Energy-based multiscale modelling and system analysis framework

Weiwei Ai, David Nickerson, Peter Hunter

Auckland Bioengineering Institute, University of Auckland, New Zealand

Different magic sauce, but same taste? Exploring the social and legal demarcation frictions between artificial intelligence and digital twins in healthcare

Elisa Elhadj¹, Elisabetta Biasin²

1: Life Sciences and Society Lab, KU Leuven, Belgium; 2: Center for IT & IP Law (CiTiP), KU Leuven, Belgium

Patient-specific TAVI thrombosis modelling: Insights from haemodynamic analysis

Maria Isabel Pons Vidal, Harriet Hurrell, Tiffany Patterson, Jack Lee

King's College of London, United Kingdom

Unveiling the relation between aortic shape and calcification in population with aortic stenosis: Towards better management of TAVI patients

Raphael Sivera¹, Ebba Montgomery-Liljeroth¹, Andrew Cook¹, Silvia Schievano¹, Kush Patel², Claudio Capelli¹

1: Institute of Cardiovascular Science, University College London, London, UK; 2: Bart’s Heart Centre, St Bartholomew’s Hospital, London, UK

Identify transcatheter aortic valve implantation degeneration using computational hemodynamic scores

Luca Crugnola¹, Laura Fusini^2,1, Ivan Fumagalli¹, Giulia Luraghi¹, Alberto Redaelli¹, Gianluca Pontone^2,3, Christian Vergara¹

1: Politecnico di Milano, Milan, Italy; 2: Centro Cardiologico Monzino IRCSS, Milan, Italy; 3: Università degli Studi di Milano, Milan, Italy

Predicting transcatheter aortic valve implantation procedural outcomes through the development and validation of patient-specific simulations

Benedetta Grossi^1,2, Giulia Luraghi¹, Anna Ramella¹, Ottavia Cozzi^2,3, Sara Barati¹, Alessandro Villaschi^2,3, Josè Felix Rodriguez Matas¹, Gianluigi Condorelli^2,3, Giulio Stefanini^2,3, Francesco Migliavacca¹

1: Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Milan, Italy; 2: Department of Biomedical Sciences, Humanitas University, Milan, Italy; 3: Humanitas Research Hospital, Milan, Italy

Virtual cohort generation for in silico trials of transcatheter aortic valve implantation

Sabine Verstraeten¹, Doris Thissen¹, Martijn Hoeijmakers², Frans van de Vosse¹, Wouter Huberts¹

1: Eindhoven University of Technology, Netherlands, The; 2: ANSYS, The Netherlands

Simulation workflow for transcatheter aortic valve replacements: From crimp and deployment to fluid-structure interaction

Nils Karajan¹, Facundo Del Pin², Rodrigo Paz², Sophie Collin², Marco Sensale², Martijn Hoeijmakers², Michel Rochette², Mark Palmer²

1: DYNAmore, An Ansys Company, Germany; 2: Ansys, Inc.

Muscle and joint mechanics during maximum-force biting following total temporomandibular joint replacement surgery

Sarah Woodford, Dale Robinson, Jaafar Abduo, Peter Lee, David Ackland

University of Melbourne, Australia

Morphological and functional aspects in oral rehabilitations – New algorithmic approaches in the era of digital dentistry

Albert Mehl

Centre for Dental Medicine, University of Zurich, Switzerland

Modeling the spatio-temporal evolution of bone-implant interface stiffness via a stochastic numerical approach

Jing XIE¹, Furqan A. Shah², Keren Shemtov-Yona^3,4, Daniel Rittel³

1: Beijing Institute of Technology, 100081 Beijing, PR China.; 2: Department of Biomaterials, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden; 3: Faculty of Mechanical Engineering, Technion - Israel Institute of Technology, 32000 Haifa, Israel; 4: The Maurice and Gabriela Goldschleger School of Dental Medicine, Department of Oral Biology, Tel Aviv University, Tel Aviv, Israel

Influence of bone quality and dental implant material on stress distribution within the surrounding bone

Iman Soodmand¹, Jan-Oliver Sass¹, Ann-Kristin Becker¹, Maeruan Kebbach¹, Christopher Jabs¹, Michael Dau², Rainer Bader¹

1: Department of Orthopaedics, Rostock University Medical Center, Rostock, Germany; 2: Department of Oral, Maxillofacial and Plastic Surgery, Rostock University Medical Center, Rostock, Germany

A computational pipeline for fast surrogates of left atrial appendage occlusion fluid simulations

Marta Saiz Vivó¹, Carlos Albors Lucas¹, Angel Herrero Díaz¹, Jordi Mill Tena¹, Andy Luis Olivares¹, Benoit Legghe², Xavier Iriart², Gemma Piella¹, Maxime Sermesant³, Oscar Camara¹

1: Physense, BCN Medtech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; 2: IHU Liryc, CHU Bordeaux, Univ. Bordeaux, Bordeaux, France; 3: Inria Centre, Université Côte d'Azur, Epione team, Sophia Antipolis, Valbonne, France

Generative 3D cardiac shape modelling for in-silico trials

Andrei Gasparovici^1,2, Alex Serban¹, Lucian Itu¹

1: Advanta, Siemens SRL, Brașov, Romania; 2: Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania

Image segmentation of irradiated tumor spheroids by fully convolutional networks

Matthias Streller², Willy Ciecior^2,3, Soňa Michlíková^1,4, Leoni Kunz-Schughart^1,5, Steffen Lange^1,2, Anja Voss-Böhme^2,3

1: OncoRay—National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden—Rossendorf, Germany; 2: DataMedAssist Group, HTW Dresden—University of Applied Sciences, 01069 Dresden, Germany; 3: Faculty of Informatics/Mathematics, HTW Dresden—University of Applied Sciences, 01069 Dresden, Germany; 4: Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology—OncoRay, 01328 Dresden, Germany; 5: National Center for Tumor Diseases (NCT), Partner Site Dresden, 69120 Heidelberg, Germany

Accelerating osteoarthritis progression predictions: A machine learning and finite element analysis approach

Moein Eddin Yousefi¹, Hassan Amini¹, Mohammad Ali Nazari¹, Ilse Jonkers², Seyed Ali Elahi^2,3

1: School of Mechanical Engineering, College of Engineering , University of Tehran, Iran; 2: Department of Human Movement Sciences, KU Leuven, Belgium; 3: Mechanical Engineering Department, KU Leuven, Belgium

Enhancing synthetic medical image fidelity through semantic segmentation guidance in diffusion models

João Pedro Rodrigues^1,2, Alexandra Walter^1,2,3, Oliver Jäkel^1,2,4, Jens Fleckenstein⁵, Kristina Giske^1,2

1: Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany; 2: Heidelberg Institute of Radiation Oncology (HIRO) & National Center for Radiation Research in Oncology (NCRO), Heidelberg/Dresden, Germany; 3: Karlsruhe Institute of Technology (KIT), Scientific Computing Center, Hermann-von-Helmholtz-Platz 1; 4: Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, Germany; 5: Klinik fur Strahlentherapie und Radioonkologie, Universitätsklinikum, Mannheim, Germany

Towards multi-scale model selection for rare data applications

Cordula Reisch¹, Sandra Nickel², Hans-Michael Tautenhahn²

1: Institute for Partial Differential Equations, TU Braunschweig, Germany; 2: Department of Visceral, Transplant, Thoracic and Vascular Surgery, University of Leipzig Medical Center, Germany

Improving proximal humerus fracture fixations - Insights from in silico analyses

Peter Varga, Boyko Gueorguiev, Dominic Mischler

AO Research Institute Davos, Switzerland

Predicting lower limb bone geometry in a paediatric population using statistical shape modelling

Laura Carman¹, Thor Besier^1,2, Julie Choisne¹

1: Auckland Bioengineering Institute, The University of Auckland, New Zealand; 2: Engineering Science, The University of Auckland, New Zealand

Automated pose estimation of knee kinematics from fluoroscopy using a differentiable renderer

Jinhao Wang, Florian Vogl, William Taylor

ETH Zurich, Switzerland

Numerical evaluation of the postoperative primary fixation stability in complex tibial plateau fractures

Simon Comtesse^1,2, Marco Drago¹, Thomas Zumbrunn², Arvind von Keudell^2,3,4, Stephen J. Ferguson¹, Jochen Franke⁵, Paul A. Gruetzner⁵, Eric Mandelka⁵

1: Institute for Biomechanics, ETH Zürich, Switzerland; 2: CustomSurg AG, Switzerland; 3: Brigham and Women's Hospital, Harvard Medical School, Boston, USA; 4: Bispebjerg Hospital, Copenhagen, Denmark; 5: Klinik für Unfallchirurgie und Orthopaedie, Berufsgenossenschaftliche Unfallklinik Ludwigshafen, Germany

Planning the perfect osteosynthesis: Simulation-assisted decision making in fracture treatment

Andreas Arnegger, Frank Niemeyer, Lucas Engelhardt

OSORA medical GmbH, Germany

Minding the gap: Sex differences influence bone fracture healing

Laura Lafuente-Gracia^1,2, Pieter Ansoms¹, Aurélie Carlier³, Liesbet Geris^1,2,4

1: Biomechanics section, Department of Mechanical engineering, KU Leuven, Belgium; 2: Prometheus: Division of Skeletal Tissue Engineering, KU Leuven, Belgium; 3: Department cBITE, MERLN Institute, Maastricht University, The Netherlands; 4: Biomechanics research unit, GIGA in silico medicine, University of Liège, Belgium

Computational modelling of closed-loop control of deep brain stimulation for Parkinson’s disease

Madeleine M. Lowery, Jakub Orlowski

University College Dublin, Ireland

Group analysis in deep brain stimulation employing simulations of the volume of tissue activated

Simone Hemm^1,2, Dorian Vogel¹, Teresa Nordin², Vittoria Bucciarelli¹, Karin Wårdell^1,2

1: Institut for Medical Engineering and Medical Informatics, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland; 2: Department of Biomedical Engineering, Linköping University, Sweden

Computational modeling of transcranial magnetic stimulation

Konstantin Weise^1,4, Ole Numssen¹, Torge Worbs², Aaron Miller¹, Vincent Chien³, Helmut Schmidt³, Thomas R. Knösche^1,5

1: Max Planck Institut für Kognitions- und Neurowissenschaften, Germany; 2: Danish Technical University, Copenhagen, Denmark; 3: Czech Academy of Sciences, Prague, Czech Republic; 4: Hochschule für Technik, Wissenschaft und Kunst, Leipzig, Germany; 5: Technische Universität Ilmenau, Ilmenau, Germany

Simulation-enhanced magnetomyographic quantum sensor systems to study neuromuscular control

Thomas Klotz¹, Francesco Negro², Justus Marquetand^1,3, Ahmed Dogukan Keles¹, Nima Nouri³, Oliver Röhrle¹

1: University of Stuttgart, Germany; 2: University of Brescia, Italy; 3: University of Tübingen, Germany

Influence of collateral axon parameters on threshold activation during DBS

Karthik Sridhar¹, Revathi Appali^1,2, Ursula Van Rienen^1,2,3

1: Institute of General Electrical Engineering, University of Rostock, Germany; 2: Ageing of Individuals and Society, Interdisciplinary Faculty, University of Rostock, Germany; 3: Life, Light and Matter, Interdisciplinary Faculty, University of Rostock, Germany

Computational synthesis of microvascular networks: A precision medicine approach to predict radiotherapy outcome in head and neck cancer

Sophie Materne^1,2, Luca Possenti¹, Alessandro Cicchetti¹, Francesco Pisani¹, Alessandra Catalano¹, Piermario Vitullo², Tiziana Rancati¹, Paolo Zunino²

1: Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Italy; 2: Department of Mathematics, Politecnico di Milano, Milan, Italy

Development and validation of a computational simulator for treatment outcome prediction in high-grade serous ovarian cancer

Marilisa Cortesi^1,2, Dongli Liu², Elyse Powell², Ellen Barlow², Kristina Warton², Emanuele Giordano¹, Caroline E. Ford²

1: University of Bologna, Italy; 2: University of New South Wales

Patient-specific modelling of needle insertion in prostate cancer therapy

Myrianthi Hadjicharalambous¹, Vasileios Vavourakis^1,2

1: University of Cyprus, Cyprus; 2: University College London, UK

METASTRA: Computer-aided effective fracture risk stratification of patients with vertebral metastases for personalised treatment through robust computational models validated in clinical settings

Luca Cristofolini¹, Giovanni Barbanti-Bròdano², Vincenzo Carbone³, Enrico Dall'Ara⁴, Stephen Ferguson⁵, Rudolf Ferenc⁶, Jose Manuel Garcia Aznar⁷, Niccole Germscheid⁸, Jakob Haardt⁹, Aron Lazary¹⁰, Marco Palanca¹, Nikolina Lednicki¹¹, Peter Vajkoczy¹², Jorrit-Jan Verlaan¹³, Laszlo Vidacs¹⁴, Emmanuelle Voisin¹⁵

1: Alma Mater Studiorum - University of Bologna, Italy; 2: Rizzoli Orthopaedic Institute, Italy; 3: InSilicoTrials Technologies, Italy; 4: University of Sheffield, UK; 5: Federal Institute of Technology ETH Zurich, Switzerland; 6: FrontEndArt, Hungary; 7: University of Zaragoza, Spain; 8: AOSpine, Switzerland; 9: Eurice, Germany; 10: Buda Health Center, Hungary; 11: Rise, Croatia; 12: Charité Universitätsmedizin Berlin, Germany; 13: University Medical Center Utrecht, Netherlands; 14: University of Szeged, Hungary; 15: Voisin Consulting Life Science, France

Clinical decision support during maintenance therapy for childhood acute lymphoblastic leukemia

Anna Gebhard¹, Sebastian Sager¹, Jakob Zierk², Markus Metzler², Manfred Rauh²

1: MathOpt group, Otto von Guericke University Magdeburg; 2: Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen

Alfons Hoekstra

University of Amsterdam, Netherlands

Lynne E. Bilston

University of New South Wales, Sydney, Australia

Computational modeling of desmoplakin cardiomyopathy

Javiera Jilberto, Adam Helms, David Nordsletten

University of Michigan, United States of America

Determination of stimulation threshold in a 3D model of a pacemaker

Valentin Pannetier¹, Michael Leguèbe¹, Yves Coudière¹, Guilhem Faure², Delphine Feuerstein²

1: Université de Bordeaux / IHU Liryc / Inria, France; 2: Microport CRM, France

Development of an automated pipeline for large-scale in silico trials in patient-specific electromechanical ventricular models

Ruben Doste¹, Julia Camps¹, Zhinuo Jenny Wang¹, Lucas Arantes Berg¹, Marcel Beetz², Abhirup Banerjee², Vicente Grau², Blanca Rodriguez¹

1: Department of Computer Science, University of Oxford, United Kingdom; 2: Department of Engineering Science, University of Oxford, United Kingdom

A strongly coupled electromechanical model of heart failure as a benchtest for proarrhythmia assessment and drug testing

Eva Casoni¹, Jazmin Aguado-Sierra¹, Maite Mora³, Sergi Picó², Juan Francisco Gómez³, Mariano Vázquez^1,2, Beatriz Trenor³

1: ELEM Biotech, Spain; 2: Barcelona Supercomputing Center, Spain; 3: Universitat Politècnica de València, Spain

Personalisation of action potentials based on activation recovery intervals in post-infarcted pigs: A simulation study

Jesus Jairo Rodríguez Padilla¹, Rafael Silva¹, Buntheng Ly², Mihaela Pop¹, Maxime Sermesant¹

1: Centre Inria d'Université Côte d'Azur, France; 2: IHU Liryc, Université de Bordeaux, France

CANCELLED - Efficient multiscale fluid flow modelling by a Stokes-enforcing boundary condition

Jeremías Garay^1,2, David Nolte¹, Cristóbal Bertoglio¹

1: University of Groningen, The Netherlands; 2: Pontificia Universidad Católica, Chile

An investigation into cerebral perfusion sensitivity under different haemodynamic and anatomical variations

Stephen A. Creamer¹, Finbar J. Argus¹, Debbie Zhao¹, Martyn P. Nash^1,3, Julian F. R. Paton², Gonzalo Maso Talou¹

1: Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; 2: Department of Physiology, Translational Cardio-Respiratory Laboratory, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 3: Department of Engineering Science and Biomedical Engineering, University of Auckland, Auckland, New Zealand

Inverse modelling approach to identify model parameters in 0D pulmonary haemodynamic simulation models

Yufei Wang, James Butterworth, Alejandro Diaz De La O, Rebecca Shipley, Ryo Torii

University College London, United Kingdom

Neural networks for efficient sensitivity analysis and parameter estimation of dynamical systems for blood and solute whole-body circulation

John M. Hanna, Pavlos Varsos, Jérôme Kowalski, Roel Meiburg, Irene E. Vignon-Clementel

Inria, Palaiseau, France

Comparison of 4D flow magnetic resonance imaging with blood flow simulations before and after left atrial appendage occlusion

Paula Casademunt¹, Xabier Morales Ferez¹, Jordi Mill¹, Carlos Albors¹, Íñigo Anduaga², Pedro Cepas², Ada Doltra², Xavier Freixa², Oscar Camara¹

1: Pompeu Fabra University, Department of Information and Communications Technologies, Barcelona, Spain; 2: Hospital Clínic, Universitat de Barcelona, Cardiovascular Institute, Barcelona, Spain

Quantitative perfusion assessment: A mechanistic model to interpret dynamic imaging

Jérôme Kowalski¹, Stefan Koning², Lorenzo Sala³, Roderick C. Peul², Mo W. Kruiswijk², Joost R. Van der Vorst², Irene Vignon-Clementel¹

1: Inria Saclay, France; 2: Leiden University Medical Center, The Netherlands; 3: Inrae, France

A rubric for assessing conformance to the ten rules for credible practice of modeling and simulation in healthcare

Alexandra Manchel¹, William W. Lytton^2,3, Jerry G. Myers Jr.⁴, Ahmet Erdemir⁵, Marc Horner⁶, Bruno V. Rego⁷, Lealem Mulugeta⁸, Joy P. Ku⁹, Rajanikanth Vadigepalli¹

1: Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA; 2: Downstate Health Sciences University, Brooklyn, NY, USA; 3: Kings County Hospital, Brooklyn, NY, USA; 4: NASA - John H Glenn Research Center, Cleveland, OH, USA; 5: Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, OH, USA; 6: Ansys Inc. Evanston, IL, USA; 7: Department of Biological & Agricultural Engineering, Louisiana State University, Baton Rouge, LA, USA; 8: InSilico Labs LLC, Houston, TX USA; 9: Department of Bioengineering, Stanford University, Stanford, CA, USA

The automated construction and verification of physically plausible models of physiological systems

Mehran Akbarpour Ghazani¹, Michael Pan², Kenneth Tran¹, David Nickerson¹

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: School of Mathematics and Statistics, Faculty of Science, University of Melbourne, Australia

From clinical measurements to parameter personalisation: An end-to-end standardised framework to navigate computational physiology workflows

Mathilde A. Verlyck¹, Debbie Zhao¹, Martyn P. Nash^1,2, David P. Nickerson¹, Thiranja P. Babarenda Gamage¹

1: Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; 2: Department of Engineering Science and Biomedical Engineering, University of Auckland, Auckland, New Zealand

Multiscale agent-based virtual-tissue models: Working towards reproducible and reusable models

James A Glazier

Indiana University, United States of America

Influence of dependent parameters on the predictive uncertainty of biomechanical models: Insights from global sensitivity analysis

Sebastian Brandstaeter, Alexander Popp

University of the Bundeswehr Munich, Germany

KNEEHUB: A Resource for end-to-end modeling & simulation workflows in computational knee biomechanics

Snehal Chokhandre¹, Peter Laz², Thor Besier³, Jason Halloran⁴, Carl Imhauser⁵, Kevin Shelburne², Ahmet Erdemir¹

1: Cleveland Clinic, United States of America; 2: University of Denver, United States of America; 3: University Auckland, New Zealand; 4: Washington State University, United States of America; 5: Hospital for Special Surgery, United States of America

Use of bond graphs and scaffolds for modelling physiology

Peter Hunter

University of Auckland, New Zealand

Using a systems biology approach to construct adverse outcome pathway networks aligned with the FAIR principles

Luiz Ladeira¹, Alexander Mazein², Marek Ostaszewski^2,3, Anouk Verhoeven⁴, Ahmed Hemedan², Eliska Kuchovska⁵, Julen Sanz-Serrano⁴, Annika Drees⁴, Kristin Reiche^6,7, Katherina Sewald⁸, Ellen Fritsche^9,10, Venkata Satagopam^2,3, Mathieu Vinken⁴, Liesbet Geris^11,12, Bernard Staumont¹

1: Biomechanics Research Unit, GIGA In Silico Medicine, University of Liège, Belgium; 2: Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg; 3: ELIXIR Luxembourg, Belvaux, Luxembourg; 4: Vrije Universiteit Brussel, IVTD research group, Brussels, Belgium; 5: IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; 6: Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany; 7: Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden/Leipzig, Germany; 8: Institute of Clinical Immunology, Medical Faculty, University Hospital, University of Leipzig, Leipzig, Germany; 9: DNTOX, Düsseldorf, Germany; 10: Swiss Centre for Applied Human Toxicology, Basel, Switzerland; 11: Skeletal Biology and Engineering Research Center, KU Leuven, Belgium; 12: Biomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium

Agent-based modelling of cell biomechanics using the open-source platform BioDynaMo

Vasileios Vavourakis^1,2, Roman Bauer³

1: University of Cyprus, Cyprus; 2: University College London, UK; 3: University of Surrey, UK

Metabolic digital twins of people with diabetes

Ryan de Vries¹, Harm Haak², Natal van Riel¹

1: Eindhoven University of Technology, The Netherlands; 2: Máxima MC, Department of Internal Medicine, Eindhoven, The Netherlands

A computational analysis of coupled glycolytic, oxidative ATP synthesis, and energy and pH balance in contracting fast-twitch muscle fibres

Jana Disch¹, Thomas Klotz¹, Daniel Beard², Jeroen Jeneson^3,4, Oliver Röhrle^1,5

1: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Germany; 2: Department of Molecular and Integrative Physiology, University of Michigan, USA; 3: Centre for Child Development and Exercise, Wilhelmina Children's Hospital, University Medical Centre Utrecht, the Netherlands; 4: Biomedical MR Research Lab, Department of Nuclear Medicine and Radiology, Amsterdam University Medical Centre|site AMC, the Netherlands; 5: Stuttgart Centre for Simulation Science (SC SimTech), University of Stuttgart, Germany

Multiscale modelling and estimation of lung poromechanics

Martin Genet, Alice Peyraut

École Polytechnique, France

A coupled multi-dimensional multiphase porous media approach for modeling the respiratory and circulatory system of the human lungs including gas exchange

Lea J. Köglmeier, Carolin M. Geitner, Buğrahan Z. Temür, Barbara Wirthl, Wolfgang A. Wall

Institute for Computational Mechanics, Technical University of Munich, Garching b. München, Germany

Personalised computational models of paediatric lung structure from novel lung MRI

Ho-Fung Chan^1,2, Megan Soo¹, Haribalan Kumar^1,2,3, Daniel Cornfeld², Paul Condron^2,4, Taylor Emsden^2,4, Leigh Potter², Samantha Holdsworth^2,4, Merryn Tawhai¹

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Mātai Medical Research Institute, Gisborne, New Zealand; 3: GE Healthcare Australia-New Zealand; 4: Faculty of Medical and Health Sciences, University of Auckland, New Zealand

A framework to characterize phenotype-specific models of the lung from CT imaging

Joyce John, Kelly Burrowes, Merryn Tawhai

Auckland Bioengineering Institute, The University of Auckland, New Zealand

Identification of expiratory WOB in active expiration with imposed non-linear resistance

Jaimey A. Clifton, Ella F. S. Guy, Trudy L. Caljé-van der Klei, Lui Holder-Pearson, J. Geoffrey Chase

University of Canterbury, New Zealand

HPC in Biomechanics - Challenges, Current Research and Future Opportunities

Johannes Gebert, Benjamin Schnabel

High-Performance Computing Center Stuttgart, Germany

A user interface to facilitate visualization and integration of predictions for mechanical femur strength.

Massimiliano Mercuri¹, Filippo Nardini², Cristina Curreli³, Antonino A. La Mattina³, Sabato Mellone², Marco Viceconti^1,3

1: Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.; 2: Department of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy; 3: Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano 1/10, 40136, Bologna, Italy.

Enhancing large-scale cohort simulations through integrated HPC infrastructure and model execution environment

Karol Zając¹, Taras Zhyhulin¹, Piotr Nowakowski^1,2, Jan Meizner^1,2, Bartosz Baliś¹, Konrad Czerepak¹, Marek Kasztelnik², Piotr Połeć², Sara Oliviero³, Maciej Malawski^1,2

1: Sano - Centre for Computational Personalized Medicine, Kraków, Poland; 2: ACC Cyfronet AGH, Kraków, Poland; 3: Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Bologna, Italy

Code verification of contact analysis using a micro-finite-element solver

Frederik Max Trommer^1,2, Pinaki Bhattacharya^1,2

1: Department of Mechanical Engineering, University of Sheffield, United Kingdom; 2: Insigneo Institute for in silico Medicine

Classification of retinal vein occlusion and diabetic macular edema with deep learning in OCT images

Guilherme Barbosa¹, Eduardo da Silva Carvalho¹, Ana Guerra¹, Nilza Ramião¹, Marco Parente^1,2, Sónia Torres-Costa^3,4, Manuel Falcão^3,4

1: INEGI - Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal; 2: DEMec - Department of Mechanical Engineering, Faculty of Engineering of University of Porto (FEUP), Porto, Portugal; 3: Surgery and Physiology Department, Faculty of Medicine of University of Porto (FMU; 4: Ophthalmology Department, ULS São Joao, Porto, Portugal

A novel in silico approach for the analysis of muscular loads in the lumbar spine

Linda Carpenedo¹, Luigi La Barbera^1,2

1: LaBS, Department of Chemistry, Materials and Chemical Engineering “G.Natta”, Politecnico di Milano; 2: IRCCS Galeazzi-Sant’Ambrogio Hospital, Italy

A novel in silico parametric tool for surgical-decision in lumbar spine fixation and fusion

Luigi La Barbera^1,2, Emilia Bellina^1,3, Linda Carpenedo¹, Gabriele Capo³, Maurizio Fornari³

1: LaBS, Department of Chemistry, Materials and Chemical Engineering “G.Natta”, Politecnico di Milano, Italy; 2: IRCCS Galeazzi-Sant’Ambrogio Hospital, Italy; 3: Department of Neurosurgery, IRCSS Humanitas Research Hospital, Milan, Italy

Spine surgery planification to avoid proximal junctional failure: A multi-criteria approach using finite element modelling

Morteza Rasouligandomani¹, Alex del Arco², Ferran Pellisé³, Miguel A. González Ballester^1,4, Fabio Galbusera⁵, Jérôme Noailly¹

1: BCN MedTech, DTIC, Pompeu Fabra University, Barcelona, Spain; 2: Hospital del Mar, Barcelona, Spain; 3: University Hospital Vall d’Hebron, Barcelona, Spain; 4: ICREA, Barcelona, Spain; 5: Shulthess Klinik, Zurich, Switzerland

In silico functional assessment of a new bio-degradable cage for lumbar interbody fusion through a fully-parametric spine model generator

Davide Ninarello¹, Giacomo Morozzi², Alberto Ballardini², Luigi La Barbera^1,3

1: Politecnico di Milano, Italy; 2: Greenbone Ortho S.p.A., Italy; 3: IRCCS Istituto Ortopedico Galeazzi, Italy

Modelling percutaneous vertebroplasty (and other processes) using the theory of porous media

Jan-Sören Lennart Völter, Tim Ricken, Oliver Röhrle

University of Stuttgart, Germany

From novel muscular mechanics principles to neurotechnology for human movement

Can A. Yucesoy

Bogazici University, Turkiye

Integrating intraoperative testing with musculoskeletal modeling: Muscle force-length relationship in patients with cerebral palsy

Cemre Su Kaya Keles¹, Filiz Ates¹, Can A. Yucesoy²

1: Institute of Structural Mechanics and Dynamics in Aerospace Engineering, University of Stuttgart, Stuttgart, Germany; 2: Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Türkiye

The development of LSTM-based ankle position and moment estimator for powered ankle prosthesis using nonnormalized sEMG and feature inputs

Ahmet Dogukan Keles¹, Can A. Yucesoy²

1: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany; 2: Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Türkiye

Boosting the performance of lightweight deep learning models with attention in human activity recognition

Özlem Durmaz¹, Sümeyye Ağaç²

1: University of Twente; 2: Bogazici University

Joint angle generation for human walking using conditional neural movement primitives

Mehmet Selcuk Albayrak, Muhammet Hatipoglu, Evren Samur, Emre Ugur

Bogazici University, Turkiye

Smartphone application for quantitative assessment of gait and balance impairments in stroke patients

Otar Akanyeti¹, Federico Villagra Povina¹, Arshad Sher^1,2, Magali Sganga^1,3,4

1: Aberystwyth University, United Kingdom; 2: Nottingham Trent University, United Kingdom; 3: Universidad Maimónides, Argentina; 4: Universidad Nacional de La Matanza, Argentina

Incorporating wearable sensor data into research workflows

Gregory B Sands, Hayden Randles, Poul M F Nielsen

Auckland Bioengineering Institute, University of Auckland, New Zealand

Modelling the neural regulation of gastric motility at the tissue level

Omkar N. Athavale, Recep Avci, Alys R. Clark, Leo K. Cheng, Peng Du

University of Auckland, New Zealand

Efficient numerical simulation of effective micro-macro models for reactive transport in elastic perforated media

Jonas Knoch¹, Nicolas Neuß¹, Markus Gahn², Maria Neuss-Radu^1,2

1: FAU Erlangen-Nürnberg, Germany; 2: Universität Heidelberg, Germany

The development of the phantom fiber to mimick muscle fibre activity for the validation of magnetomyography sensors

Ahmet Dogukan Keles¹, Thomas Klotz^1,2, Justus Marquetand³, Oliver Röhrle^1,2

1: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany; 2: Stuttgart Center for Simulation Sciences (SC SimTech), University of Stuttgart, Stuttgart, Germany; 3: MEG-Center Tübingen, University of Tübingen, Tübingen, Germany

A multiscale network model of tumor microenvironment to predict immunotherapeutic response of head and neck cancers

Priyan Bhattacharya^1,4, Andrew South^2,4, My Mahoney^2,4, Adam Luginbuhl^3,4, Rajanikanth Vadigepalli^1,4

1: Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America; 2: Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America; 3: Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America; 4: Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America

Mechanobiological modelling to capture relative effects of deviatoric and volumetric stresses on epiphyseal bone growth

Jorge Mateos Arriola¹, Carlos Ruiz Wills¹, Miguel A. González Ballester^1,2, Jérôme Noailly¹

1: Universitat Pompeu Fabra, Spain; 2: ICREA, Spain

Sensory perturbation due to blood flow restriction leads to change in active MU pool

Franziska Bubeck^1,2, Mansour Taleshi³, Ivan Vujaklija³, Oliver Röhrle^1,2, Leonardo Gizzi⁴

1: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany; 2: Stuttgart Center for Simulation Science, University of Stuttgart, Stuttgart, Germany; 3: Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland; 4: Department of Biomechatronic Systems, Fraunhofer Institute for Manufacturing Engineering and Automation, Stuttgart, Germany

A graphic representation of arterial pulse pressure vs. mean arterial pressure time series may be used for clinical decision support during intraoperative hypotension

Estefanía Žugelj Tapia¹, Marko Žličar², Borut Kirn¹

1: University of Ljubljana, Medical faculty, Ljubljana, Slovenia; 2: University Clinical Centre, Ljubljana, Slovenija

Development of a hemodynamic model to simulate heart failure patients

Juliana Franz^1,2, Arina Borzistaia^1,2, Titus Kühne^1,2, Leonid Goubergrits^1,2

1: Charité - Universitätsmedizin Berlin, Germany; 2: Deutsches Herzzentrum der Charité, Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany

Hypertensive signature in the photoplethysmography signal by combining a whole-body cardiovascular model and optical simulations

Clement Vasseur, Xavier Bednarek, Pierre Blandin, Matthieu Perriolat, Guillaume Blanquer

Univ. Grenoble Alpes, CEA, LETI, DTIS, Grenoble, France

Pre-procedural planning of transcatheter heart valve interventions using imaging and in silico modelling

Shelly Singh-Gryzbon

University of Cambridge, United Kingdom

A 0D-1D global, closed-loop model of the cardiovascular system

Stefano Costa¹, Lucas Omar Mueller¹, Federica Caforio^2,3,4

1: Dipartimento di Matematica, Università di Trento, (Italy); 2: Department of Mathematics and Scientific Computing, NAWI Graz, University of Graz (Austria); 3: Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz (Austria); 4: BioTechMed-Graz, (Austria)

In silico validation of TAG-based coronary blood flow distribution methods for patient-specific computational iFR prediction

Ester Bergantin, Lucas Omar Müller

University of Trento, Italy

A comparative study between 3D segmentation methods of aorta in contrast enhanced MR acquisitions

Horia Andrei Leonte^1,2, Alexandru Constantin Serban^1,2, Lucian Mihai Itu^1,2

1: Electrical Engineering and Computer Science, Transilvania University of Brasov, Romania; 2: Advanta, Siemens SRL, Brasov, Romania

Simulation workflow for stent-assisted coiling of brain aneurysms

Felix Borges, Alexander Pugachev

Simq GmbH, Germany

Atmospheric pollutants and atrial arrhythmias: An in silico study

Catalina Tobon¹, Laura C Palacio¹, Sami F Noujaim², Javier Saiz³

1: MATBIOM, Universidad de Medellín, Medellín, Colombia; 2: Department of Molecular Pharmacology and Physiology, Morsani College of Medicine, University of South Florida, Tampa, FL, United States; 3: Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain

In-silico assessment of hemodynamics in stenoses of the fontan circulation

Adriano Schlief^1,2, Simon Bender^1,2, Peter Kramer^2,3, Marie Schafstedde^1,2,4, Jan Brüning^1,2,4

1: Institute of Computer-assisted Cardiovascular Medicine, Charité – Universitätsmedizin Berlin, Germany; 2: Deutsches Herzzentrum der Charité, Berlin, Germany; 3: Department of Pediatric Cardiology, Charité – Universitätsmedizin Berlin, Germany; 4: DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany

A clinical decision support tool for patient management

Krzysztof Gądek, Adam Nowak, Rafał Niżankowski, Dominik Radziszowski, Joanna Twaróg, Maja Więckiewicz

Sano – Centre for Computational Personalised Medicine International Research Foundation, Poland

Creation and regression analysis of a hemodynamic virtual patient database

Richard Weber, Márta Viharos, Katalin Pálfalvi, Dániel Gyürki, György Paál

Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics Műegyetem rkp. 3., H-1111 Budapest, Hungary

Towards a prostate cancer radiotherapy digital twin: Simulating the response of prostate cancer to external radiotherapy through mechanistic multiscale modelling. Sensitivity analysis and clinical adaptation

Eleni Kolokotroni A.¹, Foteini Panagiotidou¹, Stamatia Tsampa¹, Christos Kyroudis¹, Simon Spohn^2,3,4, Anca-Ligia Grosu^2,3, Dimos Baltas^3,5, Ilias Sachpazidis^3,5, Constantinos Zamboglou^2,3,6, Georgios S. Stamatakos¹

1: National Technical University of Athens, School of Electrical and Computer Engineering, Institute of Communication and Computer Systems, In Silico Oncology and In Silico Medicine Group, Greece; 2: University of Freiburg, Faculty of Medicine, University Medical Center Freiburg, Department of Radiation Oncology, Germany; 3: German Cancer Consortium (DKTK). Partner Site Freiburg, Germany; 4: Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany; 5: University of Freiburg, Faculty of Medicine, University Medical Center Freiburg, Department of Radiation Oncology, Division of Medical Physics, Germany; 6: German Oncology Center, European University Cyprus, Limassol, Cyprus

Recommendations and requirements for implementing computational models in clinical integrated decision support systems (ISO/TS 9491-2)

Laura Lopez-Perez¹, Elena Martinelli², Marc Kirschner³, Sylvia Krobitsch³, Heike Moser⁴, Giuseppe Fico¹, Tito Poli², Martin Golebiewski⁵

1: Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, 28040 Madrid, Spain; 2: Unit of Maxillofacial Surgery, Department of Medicine and Surgery, University Hospital of Parma, Parma, Italy; 3: Forschungszentrum Jülich GmbH, Projekt Management Jülich, Jülich, Germany; 4: DIN - German Institute for Standardization, Berlin, Germany; 5: Heidelberg Institute for Theoretical Studies (HITS gGmbH), Heidelberg, Germany

Benchmarking computational models of peritoneal dialysis in pigs and patients

Sangita Swapnasrita^1,2, Joost C deVries², Carl Oberg³, Aurelie MF Carlier¹, Karin GF Gerritsen²

1: Maastricht University, the Netherlands; 2: UMC Utrecht, the Netherlands; 3: Lund University, Sweden

Toward multiscale lymph node model: T cell search strategy study

Tomas Bily, Sára Štráchalová, Alžběta Prášilová

CUNI, Czech Republic

Software infrastructure tools for biomedical models in systems biology

Herbert Martin Sauro

University of Washington, United States of America

Probabilistic Boolean modelling highlights neural tube closure dynamics and molecular signalling insights

Ahmed Hemedan¹, Job Berkhout², Luiz Ladeira³, Alessio Gamba³, Harm Heusinkveld², Liesbet Geris^3,4, Bernard Staumont³, Rudi Balling⁵, Marek Ostaszewski^1,6, Venkata Satagopam^1,6, Reinhard Schneider^1,6

1: Luxembourg University, Luxembourg; 2: Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; 3: Biomechanics Research Unit, GIGA In Silico Medicine, University of Liège, Belgium; Skeletal Biology and Engineering Research Center, KU Leuven, Belgium; 4: Biomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium; 5: Institute of Molecular Psychiatry, University of Bonn, Bonn, Germany; 6: ELIXIR Luxembourg, Belvaux, Luxembourg

Explanatory models of human physiology to teach pathophysiology of diabetic ketoacidosis with simulators

Tomas Kulhanek, Jiri Kofranek

First Faculty of Medicine, Charles University Prague, Czech Republic

In silico clinical trial to predict the efficacy of alendronate for preventing hip fractures

Sophie Nguyen^1,2,3, Sara Oliviero^1,4, Giacomo Savelli^1,4, Antonino Amedeo La Mattina⁴, Marco Viceconti^1,4

1: Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Italy; 2: Faculty of Applied Sciences, University of Liège, Belgium; 3: Biomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium; 4: Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy

Comparative assessment of lower limb joint angle estimation between BTS system and OpenSim

Mahshida Hamid¹, Sanyam Phutela¹, Rounak Bhattacharyya¹, Manish Gupta², Bhavuk Garg², Rajesh Malhotra^2,3, Madhusudan Pal^4,5, Anoop Chawla¹, Sudipto Mukherjee¹, Kaushik Mukherjee¹

1: Indian Institute of Technology Delhi, India; 2: All Indian Institute of Medical Sciences, New Delhi, India; 3: Indraprastha Apollo Hospital, New Delhi, India; 4: Defense Institute of Physiology & Allied Science, Defence Research & Development Organisation, Delhi, India; 5: Center of Excellence, Footwear Design & Development Institute, Noida, India

Quantification of periprosthetic bone loss using electrical impedance tomography

Lisa Krukewitt, Sascha Spors

University of Rostock, Germany

Machine learning framework to study the impact of metastatic cancer in the spine

Simão Laranjeira¹, Simon Walker-Samuel², Rebecca J. Shipley¹

1: UCL Mechanical Engineering, London, UK; 2: UCL Centre for Computational Medicine, Division of Medicine, London, UK

A sustainable neuromorphic framework for disease diagnosis using AI

Rutwik Gulakala, Marcus Stoffel

RWTH Aachen, Germany

Limits and capabilities of diffusion models for the anatomic editing of digital twins

Karim Kadry¹, Shreya Gupta¹, Farhad R. Nezami², Elazer R. Edelman^1,2

1: MIT, United States of America; 2: Brigham and Women's Hospital

Cross-disease predictive analysis for pandemic preparedness

Joana Elena Meyer¹, Sebastian Fritsch², Andreas Schuppert¹

1: Institute for Computational Biomedicine, RWTH Aachen, Germany; 2: Departement of Intensive Care Medicine, University Hospital RWTH Aachen, Germany

Instantaneous biomechanical model of the heart to characterize ventricular remodeling in complex congenital heart disease

Maria Gusseva¹, Nikhil Thatte², Daniel A. Castellanos², Peter E. Hammer³, Sunil J. Ghelani², Ryan Callahan⁴, Tarique Hussain¹, Radomir Chabiniok¹

1: UT Southwestern Medical Center, United States of America; 2: Department of Cardiology, Boston Children’s Hospital, Boston, MA, USA; 3: Department of Cardiac Surgery, Boston Children’s Hospital, Boston, MA, USA; 4: Division of Cardiology, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA

Construction and manufacturing of an MRI-ready experimental left heart phantom model

Moritz Wiegand¹, Tim Bierewirtz¹, Leonid Goubergrits^1,2, Katharina Vellguth¹

1: ICM, Deutsches Herzzentrum der Charité, Germany; 2: Einstein Center Digital Future

Predicting cardiac conduction disturbances during balloon aortic valvuloplasty from patient-specific computational models

Benjamin Ayo Matheson^1,2, Haoran Dou^1,2, Cristina Teleanu^1,2, George Hyde-Linaker³, Rebecca Bryan³, David Flynn⁴, Daniel Blackman⁵, Toni Lassila^1,2, Nishant Ravikumar^1,2, Alejandro F. Frangi^1,6,7, Zeike A. Taylor^1,2

1: Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB); 2: University of Leeds, United Kingdom; 3: Synopsys, Inc.; 4: Boston Scientific Corporation; 5: Leeds Teaching Hospitals NHS Foundation Trust; 6: Christabel Pankhurst Institute; 7: University of Manchester, United Kingdom

Hierarchical VVUQ strategy for the development and credibility assessment of a pulmonary heart valve model

Nils Götzen¹, Tahir Turgut¹, Omar Zahalka¹, Vincent Bouwman¹, Mikel Isasi², Malte Rolf-Pissarczyk³, Rick van Tunen⁴, Mathias Peirlinck⁴, Mohammad Mirzaali⁴

1: 4RealSim Services BV, Netherlands, The; 2: Leartiker, Spain; 3: TU-Graz, Austria; 4: TU-Delft, Netherlands, The

Predictive model for the assessment of the TEVAR procedure

Sara Barati¹, Giulia Luraghi¹, Anna Ramella¹, Benedetta Grossi², Francesco Migliavacca¹, Josè Felix Rodriguez Matas¹

1: Politecnico di Milano, Italy; 2: Humanitas University, IT

Alterations of the in vivo myocardium mechanical properties in aortic stenosis: Finite element analysis in a rat model

Mohammad Javad Sadeghinia¹, Henrik Nicolay Finsberg¹, Emil Espe^2,3, Ida Marie Hauge-Iversen^2,3, Lili Zhang^2,3, Einar S. Nordén^2,3, Ivar Sjaastad^2,3, Samuel Wall¹, Joakim Sundnes¹

1: Simula Research Laboratory, Oslo, Norway; 2: Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway; 3: K.G. Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway

In silico pre-operative TEVAR planning: Application to a patient-specific case

Anna Ramella¹, Giulia Luraghi¹, Sara Barati¹, Maurizio Domanin^2,3, Santi Trimarchi^2,3, Francesco Migliavacca¹

1: Politecnico di Milano, Milan, Italy; 2: Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy; 3: Università degli Studi di Milano, Milan, Italy

The role of secondary flow activities in the emergence of sidewall intracranial aneurysms

Benjamin Csippa, Péter Friedrich, György Paál

Budapest University of Technology and Economics, Faculty of Mechanical Engineering, Department of Hydrodynamics Systems,Hungary

Use of shape analysis and computational fluid dynamics for identification of factors relevant for aneurysm rupture

Ivan Benemerito¹, Luca Gherardini², Maria-Cruz Villa-Uriol¹, Andrew Narracott¹, Alberto Marzo¹, Jose Sousa²

1: Insigneo Institute for in silico medicine, University of Sheffield, United Kingdom; 2: Sano Centre for Computational Medicine, Krakow, Poland

Virtual particle tracking in geometries with cerebral aneurysms

Dániel Gyürki, György Paál

Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary

Left atrial appendage occlusion: A virtual model to simulate the implant procedure in patient-specific scenarios

Francesca Danielli^1,2, Francesca Berti¹, Benigno Marco Fanni³, Emanuele Gasparotti³, Andrea Colella¹, Alessandro Vitozzi¹, Simona Celi³, Giancarlo Pennati¹, Lorenza Petrini²

1: Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Italy; 2: Department of Civil and Environmental Engineering, Politecnico di Milano, Italy; 3: BioCardioLab, Bioengineering Unit, Fondazione Monasterio, Italy

Left atrial wall dynamics in in-silico fluid simulations of atrial fibrillation patients

Carlos Albors¹, Nerea Arrarte Terreros^2,3,4, Josquin Harrison⁵, Xabier Morales¹, Marta Saiz Vivó¹, Nils Planken³, Joris R. de Groot⁴, Maxime Sermesant⁵, Oscar Camara¹

1: Universitat Pompeu Fabra, Barcelona, Spain; 2: Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, The Netherlands; 3: Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands; 4: Cardiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands; 5: Inria, France

Saving lives today while building the personal digital avatar: An ambitious yet pragmatic digital transformation of healthcare

Thierry Marchal^1,2

1: ANSYS, Wavre, Belgium; 2: Avicenna Alliance, Brussels, Belgium

PyAnsys-heart: A python library for LS-DYNA multi-physics heart simulations

Martijn Hoeijmakers¹, Wenfeng Ye², Karim El Houari², Clémentine Shao², Michel Rochette², Mark Palmer³

1: Ansys, Netherlands; 2: Ansys, France; 3: Ansys, USA

Toward good simulation practice: Best practices for the use of computational modelling and simulation in the regulatory process of biomedical products

Vincenzo Carbone¹, Thierry Marchal^2,3, Liesbet Geris^4,5,6, Luca Emili¹, Marco Viceconti⁷

1: InSilicoTrials Technologies, Trieste, Italy; 2: Avicenna Alliance, Brussels, Belgium; 3: ANSYS, Wavre, Belgium; 4: VPH Institute, Leuven, Belgium; 5: University of Liège, Belgium; 6: KU Leuven, Belgium; 7: Alma Mater Studiorum – University of Bologna, Italy

AlmaHealthDB: A digital infrastructure for secure management, interoperability and reuse of health research data

Antonino A. La Mattina¹, Sabato Mellone^1,2, Marco Viceconti^1,3

1: Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT); 2: Department of Information Engineering, Alma Mater Studiorum – University of Bologna (IT); 3: Department of Industrial Engineering, Alma Mater Studiorum – University of Bologna (IT)

An in silico medicine info kit for effective stakeholder engagement

Martina Contin¹, Davide Montesarchio¹, Zita Van Horenbeeck^1,2, Raphaelle Lesage¹, Artem Platonov¹, Goran Stanic¹, Roberta De Michele¹, Janaki Raman Rangarajan¹, Liesbet Geris^1,3,4

1: Virtual Physiological Human Institute (VPHi), Belgium; 2: Centre for Sociological Research, KU Leuven, Belgium; 3: GIGA Research Institute, , University of Liège, Belgium; 4: Division of Biomechanics, KU Leuven, Belgium

Physiome: Encouraging the publication and reuse of reproducible models

David Phillip Nickerson¹, Weiwei Ai¹, Shelley Fong¹, Karin Lundengård¹, Anand Rampadarath^1,2, Tommy Yu¹, Poul Nielsen¹, Peter Hunter¹

1: Auckland Bioengineering Insitute, University of Auckland, New Zealand; 2: Plant and Food Research, New Zealand

Development of a computational inflammation model of osteoarthritis including obesity

Juntong Lai, Damien Lacroix

Insigneo Institute, Department of Mechanical Engineering, University of Sheffield, United Kingdom

Modeling the interplay among TIMP, proteases and proinflammatory cytokines within the human intervertebral disc

Laura Baumgartner, Sandra Witta, Jérôme Noailly

Pompeu Fabra University, Spain

Building a digital twin for rheumatoid arthritis, one cell at a time

Anna Niarakis¹, Naouel Zerrouk², Sahar Aghakhani³, Vidisha Singh⁴, Oceane Saibou⁴, Sylvain Soliman⁵, Franck Augé⁶

1: University of Toulouse III - Paul Sabatier & INRIA Saclay; 2: University of Evry, Paris Saclay & Sanofi Aventis R&D; 3: University of Evry, Paris Saclay & INRIA Saclay; 4: University of Evry, Paris Saclay; 5: INRIA Saclay; 6: Sanofi Aventis R&D

A sympathetic neuron computational model for hypertension treatment

Finbar John Argus^1,2,5, Ni Li², Jakub Tomek², Jenny Wang³, Harvey Davis⁴, Chenchen Zhang², Gonzalo Maso Talou¹, Dan Li², Blanca Rodriguez³, Filipa Simões⁵, David Paterson²

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Department of Physiology, Anatomy, and Genetics, University of Oxford, UK; 3: Department of Computer Science, University of Oxford, UK; 4: Department of Neuro, Physiology, and Pharmacology, University College London, UK; 5: Institute of Developmental and Regenerative Medicine, University of Oxford, UK

Computational modelling for mechanistic explorations of biomarkers and biomechanical cues in atherosclerosis

Mané Sarkissian¹, Jérôme Noailly¹, Vicenta Llorente Cortes²

1: Pompeu Fabra University, Spain; 2: Consejo Superior de Investigación Científica (CSIC), Spain

The use of rapid expiratory occlusion (REO) to simultaneously identify lung elastance, airway resistance, and muscular effort

Ella F. S. Guy, Jaimey A. Clifton, Trudy Caljé-van der Klei, Jennifer L. Knopp, Lui R. Holder-Pearson, J. Geoffrey Chase

University of, New Zealand

Pulmonary elastance identification and predictive methodology for PCV in a digital twin

Trudy L. Caljé-van der Klei¹, Ella F. S. Guy¹, Qianhui Sun², Jaimey A. Clifton¹, Cong Zhou¹, J. Geoffrey Chase¹

1: University of Canterbury, New Zealand; 2: University of Liege, Belgium

Bridging micro to macro in pulmonary mechanics: Interpretable neural networks for surrogate modelling

Katerina Skardova^1,2, Alexandre Daby-Seesaram^1,2, Martin Genet^1,2

1: Laboratoire de Mécanique des Solides, École Polytechnique/ CNRS/IPP, France; 2: Inria, France

Integrating macro-vascular and micro-vascular models to elucidate wall shear stress dynamics in pulmonary hypertension: A novel approach to understanding CTEPH development

Behdad Shaarbaf Ebrahimi, Haribalan Kumar, Alys Clark, Merryn Tawhai

The University of Auckland, New Zealand

A virtual asthma patient successfully predicts patient-specific impact of bronchial thermoplasty

Mahesh Ola, Richard Russell, Chris Brightling, Himanshu Kaul

University of Leicester, United Kingdom

Classification of glenoid bone loss patterns using statistical shape modelling

Harnoor Saini¹, Julie Kim¹, Marc Hirner², Sumit Raniga³, Desmond Bokor³, Thor Besier¹

1: Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; 2: Northland Orthopaedic Clinic, Whangarei, New Zealand; 3: Shoulder and Elbow Clinic, Macquarie University, Sydney, NSW, Australia

Strain analysis in the right ventricular outflow tract using non-parametric deformable shape modelling

Liam David Swanson^1,2, Raphael Sivera^1,2, Nicholas M. Jacobson³, Claudio Capelli^1,2, Catalina Vargas-Acevedo^4,5, Gareth J. Morgan^5,6,7, Silvia Schievano^1,2

1: Institute of Cardiovascular Sciences, University College London, London, United Kingdom; 2: Great Ormond Street Children’s Hospital, London, United Kingdom; 3: College of Engineering, Design and Computing, University of Colorado, Aurora, CO, United States of America; 4: Department of Pediatric Cardiology, University of Colorado, Aurora, CO, United States of America; 5: The Heart Institute, Children's Hospital Colorado, Aurora, CO, United States of America; 6: School of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO, United States of America; 7: Department of Cardiology, University of Colorado Hospital, Aurora, CO, United States of America

Hexahedral mesh fitting using scaffolds and statistical shape modelling to reproduce the cortical bone morphology of the femur

Ted Yeung, Thor Besier, Peter Hunter, Vickie Shim

Auckland Bioengineering Institute, University of Auckland, New Zealand

Development of a statistical shape and density model of the paediatric femur for personalised FE models in children

Yidan Xu, Laura Carman, Thor Besier, Julie Choisne

Auckland Bioengineering Institute, The University of Auckland, New Zealand

Generation of digital genetic twins satisfying utility and privacy metrics for robust post-hoc analyses

Igor Faddeenkov¹, Olivia Rousseau¹, Sonia Bourguiba-Hachemi¹, Sophie Limou^1,2, Nicolas Vince¹, Pierre-Antoine Gourraud^1,3

1: Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, F-44000 Nantes, France; 2: Ecole Centrale de Nantes, F-44300 Nantes, France; 3: Nantes Université, CHU Nantes, PHU11: Santé Publique, Clinique des données, INSERM CIC 1413, F-44000 Nantes, France

Domain adaptation methods for emotion and pain recognition via synthetic data

Jonas Nasimzada¹, Constantin Seibold², Alina Roitberg¹

1: University of Stuttgart, Germany; 2: University Medicine Essen, Germany

In-silico analysis of physiological joint mechanics within a complex musculoskeletal leg-system and its application to biomechanical evaluation of implants

Okan Avci¹, Animesh Ranjan², Armagan Can Yildiz³

1: Fraunhofer IPA, Germany; 2: Fraunhofer IPA, Germany; 3: Fraunhofer IPA, Germany

Development of a validated software framework for in-silico clinical trials of orthopedic devices

Lukas Connolly, Christine Mueri, Adam Henderson

Zimmer Biomet, Switzerland

In silico clinical trial to predict the efficacy of alendronate for preventing hip fractures

Sara Oliviero^1,2, Giacomo Savelli^1,2, Antonino Amedeo La Mattina², Sophie Nguyen^1,3, Marco Viceconti^1,2

1: Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Italy; 2: Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; 3: Department of Mechanical Engineering, Biomechanics Section, KU Leuven, Belgium

Assessing hip implant stability: A parametric surrogate modelling approach

Marlis Reiber^1,2, Fynn Bensel^1,3, Udo Nackenhorst^1,2,3

1: Leibniz University Hannover, Institute of Mechanics and Computational Mechanics, Appelstraße 9a, Hannover, 30167, Germany; 2: Hannover Medical School, TRR 298: Safety Integrated and Infection Reactive Implants (SIIRI), Carl-Neuberg-Straße 1, Hannover, 30625, Germany; 3: Leibniz University Hannover, International Research Training Group (IRTG) 2657, Appelstraße 11/11a, Hannover, 30167, Germany

In silico clinical trial for a regulatory submission of a total shoulder arthroplasty system

Christine Mueri¹, Ghislain Maquer¹, Henderson Adam¹, Connolly Lukas¹, Maged Awadalla², Jeff Bischoff², Philippe Favre¹

1: Zimmer Biomet, Switzerland; 2: Zimmer Biomet, USA

Estimating daily dynamic skeletal loading from ankle-worn activity monitors after menopause

Emma Fortune¹, Omid Jahanian¹, Melissa M. Morrow², Michelle M. Mielke³

1: Mayo Clinic, Minnesota, United States of America; 2: The University Medical Branch Texas, Texas, United States of America; 3: Wake Forest University School of Medicine, North Carolina, United States of America

Validating the Fitbit Charge 6 wearable activity monitor for use in physical activity interventions in lung cancer: Study protocol

Roberto Benzo^1,2,3, Rujul Singh³, Carolyn Presley^1,2, Zach Chaplow⁴, Brian Focht⁴, Chloe Hery³, Macy Tetrick³, Allison Cleveland³, Jane Yu⁵, Emma Fortune⁶

1: Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.; 2: Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, Ohio, USA.; 3: Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, USA.; 4: Kinesiology, Department of Human Sciences, The Ohio State University, USA.; 5: College of Medicine, The Ohio State University Columbus Ohio USA.; 6: Division of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.

Accelerating clinical decision making: Tailoring generic MSK models with subject-specific information is a good approximation to the personalized models

Pratik Nag^1,2, Alessandra Aldieri^1,2,3, Xinshan Li^4,5, Giorgio Davico^1,2, Marco Viceconti^1,2

1: Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy; 2: Laboratorio di Tecnologia Medica, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; 3: PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy; 4: Department of Mechanical Engineering, University of Sheffield, Sheffield, UK; 5: INSIGNEO Institute for in silico Medicine, University of Sheffield, Sheffield, UK

Gait analysis of patients with spinal cord injury: Influence of postoperative rehabilitation

Sanyam Phutela¹, Mahshida Hamid¹, Rounak Bhattacharyya¹, Manish Gupta², Bhavuk Garg², Rajesh Malhotra^2,3, Madhusudan Pal^4,5, Anoop Chawla¹, Sudipto Mukherjee¹, Kaushik Mukherjee¹

1: Indian Institute of Technology Delhi, India; 2: All Indian Institute of Medical Sciences, New Delhi, India; 3: Indraprastha Apollo Hospital, New Delhi, India; 4: Defense Institute of Physiology & Allied Science, Defence Research & Development Organisation, Delhi, India; 5: Center of Excellence, Footwear Design & Development Institute, Noida, India

Data-driven analysis of modelling approaches for distal vessel trees in coronary blood flow

Jack Lee, Mohammed Salim Ibrahim

King's College London, United Kingdom

An integrated computational model for coronary and myocardial blood flow applied in a clinical diagnostic setting

Giovanni Montino Pelagi¹, Andrea Baggiano², Francesco Regazzoni³, Jacques Huyghe⁴, Marco Alì⁵, Silvia Bertoluzza⁶, Gianluca Pontone², Giovanni Valbusa⁵, Christian Vergara¹

1: LABS, DCMC, Politecnico di Milano, Italy; 2: Cardiovascular Imaging Department, Centro Cardiologico Monzino, Italy; 3: MOX, DMAT, Politecnico di Milano, Italy; 4: School of Engineering, University of Limerick, Ireland; 5: Bracco Imaging S.p.A., Italy; 6: IMATI, CNR, Italy

Computational modeling of myocardial perfusion and oxygen transport in coronary venous retroperfusion treatments

Haifeng Wang¹, Lei Fan², Jenny Choy³, Ghassan Kassab³, Lik-Chuan Lee¹

1: Michigan State University, USA; 2: Marquette University and Medical College of Wisconsin, USA; 3: California Medical Innovations Institute, USA

Integrating time-varying resistance in a lumped parameter model of the coronary circulation

Enhui Yong^1,2, Vivek Muthurangu¹, Ryo Torii²

1: Institute of Cardiovascular Science, University College London, London, UK; 2: Department of Mechanical Engineering, University College London, London, UK

Biventricular modelling of human heart with right ventricular outflow tract

Debao Guan¹, Mark Danton², Xiaoyu Luo¹, Hao Gao¹

1: University of Glasgow, United Kingdom; 2: Golden Jubilee National Hospital, Glasgow, United Kingdom

Examining flow dynamics after left atrial appendage occlusion using CFD simulations: Influence of device implant depth

Jordi Mill¹, Carlos Albors¹, Pedro Cepas-Guillen², Manal Barrouhou¹, Íñigo Anduaga², Laura Sanchis², Ana Laffond³, Ignacio Cruz-Gonzalez³, Xavier Freixa², Oscar Camara¹

1: Universitat Pompeu Fabra, Spain; 2: Department of Cardiology, Hospital Clinic Barcelona, Spain; 3: Department of Cardiology, Hospital Universitario de Salamanca, Spain

Multiscale computational model of blood flow of deployed vascular stents

Gabor Zavodszky, Christian Spieker, Alfons Hoekstra

University of Amsterdamm, Netherlands, The

Optimizing surgical outcomes in infants with ductal-dependent pulmonary blood flow conditions

Kevser Banu Köse, Wael Shamsi Basha, Mohamad Humam Alzaeim, Selma Mulla

Istanbul Medipol University, Turkiye

Optimization of braided stent deployment techniques

Reza Abdollahi^1,2, Simon Lessard^2,3, Rosaire Mongrain⁴, Gilles Soulez^1,2

1: Université de Montréal, H3T 1J4 Montreal, Canada; 2: Centre de Recherche du CHUM, H2X 0A9 Montréal, Canada; 3: École de Technologie Supérieure, H3C 1K3 Montreal, Canada; 4: Mechanical Engineering Department, McGill University, H3A 0C3 Montreal, Canada

Virtual coronary stenting simulations: On the use of data from patient-specific imaging for validation and clinical interpretation

Luca Antonini^1,2, Gianluca Poletti¹, Georgia S. Karanasiou^3,4, Antonis Sakellarios^3,4, Michail I. Papafaklis⁴, Lampros K. Michalis⁵, Dimitrios I. Fotiadis^3,4, Lorenza Petrini⁶, Giancarlo Pennati¹, Francesca Berti¹

1: LaBS - Department of Chemistry, Materials and Chemical Engineering “Giulio Natta”, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy; 2: Parametric Design, Gessate (MI), Italy; 3: Department of Biomedical Research Institute–FORTH, University Campus of Ioannina, 45110 Ioannina, Greece; 4: 2nd Department of Cardiology, University Hospital of Ioannina, 45110 Ioannina, Greece; 5: Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece; 6: Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy

Effect of oversize stenting using a measurement-driven numerical approach for sidewall aneurysms

Levente Sándor, Benjamin Csippa, György Paál

Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics

Exploring hepatic vascular dynamics and function in metabolic syndrome and steatotic liver disease: Insights from human and rat models

Sandra Nickel¹, Laura Bütow², Rebecca Sternkopf¹, Anton Schnurpel¹, Hans-Michael Tautenhahn¹, Fabian Haak¹

1: University Hospital Leipzig, Germany; 2: Jena University Hospital, Germany

In-silico enhanced animal experiments for evaluation of cardiovascular implantable devices

Jan Brüning^1,2, Adriano Schlief^1,2, Pavlo Yevtushenko^1,2, Jan Romberg³, Andreas Arndt^3,4,5, Leonid Goubergrits^1,2

1: Institute of Computer-assisted Cardiovascular Medicine, Charité – Universitätsmedizin Berlin; 2: Deutsches Herzzentrum der Charité; 3: Biotronik SE & Co. KG; 4: Technische Universität Dresden, Germany; 5: Kurt-Schwabe-Institut für Mess- und Sensortechnik Meinsberg e.V., Meinsberg, Germany

Computer modelling of cortical pathophysiology in parkinsonism

William Lytton¹, Donald Doherty¹, Adam Newton¹, Thomas Wichmann², Yoland Smith², Liqiang Chen³, Hong-yuan Chu³

1: DHSU, United States of America; 2: Emory University, USA; 3: Georgetown University, USA

Induction of steatohepatitis in large animals – An example of successful collaboration between medical doctors, veterinarians, and basic scientists to establish a model for translational research

Philipp Felgendreff¹, Silvana Wilken², Bruce Amiot², Moritz Schmelzle¹, Scott Nyberg²

1: Hannover Medical School, Germany; 2: Mayo Clinic, USA

Reduced lifespan in rats with low intrinsic exercise capacity is associated with reduced complex I threshold in females in aging

Alena Spagnolo¹, Estelle Heyne², Michael Schwarzer², Torsten Doenst²

1: Universitätsklinikum Leipzig, Germany; 2: Universitätsklinikum Jena, Germany

Improved patient classification from 2D cardiac ultrasound using multi-modal transfer learning

Debbie Zhao¹, Joshua R. Dillon¹, Gina M. Quill¹, Bram W. M. Geven^1,2, Stephen A. Creamer¹, Edward Ferdian¹, Vicky Y. Wang¹, Thiranja P. Babarenda Gamage¹, Timothy M. Sutton³, Boris S. Lowe⁴, Malcolm E. Legget⁵, Nicola C. Edwards^4,5, Robert N. Doughty^4,5, Alistair A. Young⁶, Martyn P. Nash⁷

1: Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; 2: Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; 3: Counties Manukau Health Cardiology, Middlemore Hospital, Auckland, New Zealand; 4: Green Lane Cardiovascular Service, Auckland City Hospital, Auckland, New Zealand; 5: Department of Medicine, University of Auckland, Auckland, New Zealand; 6: School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom; 7: Department of Engineering Science and Biomedical Engineering, University of Auckland, Auckland, New Zealand

Bayesian inversion enables personalised septic shock treatment guided by noisy arterial pressure waveforms

Finneas JR Catling^1,2, Kim H Parker¹, Alun D Hughes², Steve Harris², Rebecca J Shipley², Anthony C Gordon¹

1: Imperial College London, London, United Kingdom; 2: University College London, London, United Kingdom

Enhancing ECMO device development through machine-learned virtual patient data

Micha Landoll^1,2,3, Yifei Huang¹, Ulrich Steinseifer¹, Stephan Strassmann², Christian Karagiannidis², Michael Neidlin¹

1: Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Aachen, Germany; 2: ARDS and ECMO Centre Cologne-Merheim, Dept. of Pneumology and Critical Care Medicine, Kliniken der Stadt Köln gGmbH, Witten/Herdecke University, Cologne, Germany; 3: Institute for Computational Biomedicine II, University Hospital Aachen, RWTH Aachen University, Aachen, Germany

Towards an in silico clinical trial on the use of fractional flow reserve based on a data-driven modeling approach

Pjotr Hilhorst¹, Sabine Verstraeten¹, Frans van de Vosse¹, Marcel van 't Veer^1,2, Pim Tonino², Wouter Huberts¹

1: Eindhoven University of Technology, Netherlands, The; 2: Catharina Hospital Eindhoven, Netherlands, The

Predicting ventricular tachycardia, taking time into the equations

Carlijn Buck¹, Marloes de Winter¹, Anouk de Lepper², Marcel van 't Veer², Wouter Huberts¹, Frans van de Vosse¹, Lukas Dekker²

1: Eindhoven University of Technology, the Netherlands; 2: Catharina Hospital Eindhoven, the Netherlands

Patient-specific hemodynamic effects of acute exercise in hypertensive subjects and controls revealed by 4D flow MRI and cardiovascular modeling

Kajsa Tunedal^1,2, Valentin Kindesjö¹, Federica Viola^2,3, Karin Rådholm³, Carl-Johan Carlhäll^2,3,4, Gunnar Cedersund^1,2, Tino Ebbers^2,3

1: Department of Biomedical Engineering, Linköping University, Linköping, Sweden; 2: Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; 3: Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; 4: Department of Clinical Physiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden

Multiscale modelling in deep brain stimulation

Ursula van Rienen, Revathi Appali

University of Rostock, Germany

Holography-assisted simulation of brain function

Wieslaw Nowinski¹, Agnieszka Pluta², Pawel Holas², Anastazja Kozlyk³, Katarzyna Bochenska³, Witold Janczynski³

1: Sano Center for Computational Personalised Medicine, Poland; 2: University of Warsaw; 3: Ledholo Sp. z o.o

Multiscale model of spreading depolarization in neocortical microcircuits

Adam John Hunter Newton¹, Craig Kelley², Siyan Guo³, Joy Wang³, Sydney Zink⁴, Marcello DiStasio⁴, Robert A McDougal^5,6,7, William W Lytton^1,8,9,10

1: Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University; 2: Department of Biomedical Engineering Doctor of Philosophy, Columbia University; 3: Health Informatics Program, Yale School of Public Health; 4: Department of Pathology, Yale School of Medicine; 5: Department of Biostatistics, Yale University; 6: Program in Computational Biology and Bioinformatics, Yale University,; 7: Wu Tsai Institute, Yale University; 8: Department of Neurology, SUNY Downstate Health Sciences University; 9: Department of Neurology, Kings County Hospital Center; 10: The Robert F. Furchgott Center for Neural and Behavioral Science

Investigation of intracranial dynamics using a personalised computational model

Alireza Sharifzadeh-Kermani, Samantha Holdsworth, Soroush Safaei, Gonzalo Maso Talou

The University of Auckland, New Zealand

Challenges and perspectives in human brain tissue modeling

Silvia Budday

Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

From clinical research to digital twins: How personalised computational modelling can add value in clinical care

Robyn Walker May^1,2, Tom Gentles³, Frank Bloomfield², Finbar Argus¹, Gonzalo Maso Talou¹, Soroush Safaei¹

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Liggins Institute, University of Auckland, Auckland, New Zealand; 3: Starship Hospital, Te Toka Tumai Auckland, Auckland, New Zealand

A demonstrator of the EDITH virtual human twin platform

Marian Bubak, Marek Kasztelnik, Maciej Malawski, Jan Meizner, Piotr Nowakowski, Piotr Połeć

ACC Cyfronet AGH and Sano Centre for Computational Medicine, Krakow, Poland, Poland

12 Labours DigitalTWINS platform: Enabling development and clinical translation of virtual human twins

Thiranja P Babarenda Gamage¹, Chinchien Lin¹, Linkun Gao¹, Jiali Xu¹, Ayah Elsayed^1,2, Alan Wu¹, Mathilde Verlyck¹, Gregory Sands¹, Koray Atalag³, Martyn P Nash^1,4, Peter J Hunter¹, David P Nickerson¹

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Auckland University of Technology, New Zealand; 3: GALATA-Digital; 4: Department of Engineering Science and Biomedical Engineering, University of Auckland, New Zealand

AI-CARE: Digital twin for cancer research

Daniele Tartarini^1,2, Jacob M. Cummins^1,2

1: Department of Computer Science, University of Sheffield, United Kingdom; 2: Insigneo Institute for in Silico Medicine, University of Sheffield, Sheffield, United Kingdom

OSS-DBS v2.0: Adaptive meshing for deep brain stimulation modeling

Jan Philipp Payonk¹, Konstantin Butenko², Ursula van Rienen^1,3,4, Julius Zimmermann^1,5

1: Institute of General Electrical Engineering, University of Rostock, Germany; 2: Department of Neurology Brigham & Women's Hospital, Harvard Medical School, USA; 3: Department Life, Light & Matter, University of Rostock, Germany; 4: Department of Ageing of Individuals and Society, University of Rostock, Germany; 5: Now with: Synthetic Physiology Lab, University of Pavia, Italy

Experimental validation of in silico models of orthopaedic implants

Luca Cristofolini, Marco Viceconti

Alma Mater Studiorum - University of Bologna, Italy

InSole: An in-silico workflow towards personalized prescription of corrective insoles during walking

Bryce Adrian Killen¹, Sam Van Rossom², Fien Burg², Jos Vander Sloten³, Ilse Jonkers¹

1: Human Movement Biomechanics Research Group, Department of Movement Sciences, KU Leuven; 2: Materialise Motion, Materalise NV; 3: Biomechanics Section, Department of Mechanical Engineering, KU Leuven

In-silico analysis of dropfoot disease and biomechanical evaluation of ankle-foot orthoses

Armagan Can Yildiz, Okan Avci, Animesh Ranjan

Fraunhofer IPA, Germany

Verification of finite element wear models of a total ankle replacement

Cristina Curreli¹, Melissa Taliani², Emma Spilla¹, Francesca Di Puccio^3,4, Marco Viceconti²

1: IRCCS Istituto Ortopedico Rizzoli, Bologna (Italy); 2: Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (Italy); 3: Department of Civil and Industrial Engineering, University of Pisa (Italy); 4: Center for Rehabilitative Medicine “Sport and Anatomy”, University of Pisa (Italy)

Digital orthopedic methods for total knee arthroplasty: Insights from comparative analysis and validation studies

Kevser Banu Köse, Mohammad Hussein, Ramadan Abu Rabia, Zekra Hajer, Mustafa Yusuf Saatci

Istanbul Medipol University, Turkiye

Prediction of higher airway particle deposition in children compared with adults: A modelling study

Ge Jin, Megan Soo, Kelly Burrowes, Ho-Fung Chan, Merryn Tawhai

Auckland Bioengineering Institute, New Zealand

Towards a virtual embryo: Computational modeling of neural tube closure defects

Job H. Berkhout^1,2, James A. Glazier³, Aldert Piersma^1,2, Julio M. Belmonte⁴, Juliette Legler², Richard M. Spencer⁵, Thomas B. Knudsen⁵, Harm J. Heusinkveld¹

1: Utrecht University, The Netherlands; 2: IRAS, Utrecht University, The Netherlands; 3: Biocomplexity Institute, Indiana University, Bloomington, United States; 4: Department of Physics, NC State University, Raleigh, North Carolina, United States; 5: U.S. EPA/ORD, Research Triangle Park, North Carolina, United States

Development of a multiscale data-driven lung model to understand the health effects of vaping

Marzieh Aghababaie¹, Peter Hunter¹, Sue McGlashan², Vinod Suresh¹, Merryn Tawhai¹, Kelly Burrowes¹

1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Department of Anatomy & Medical Imaging, University of Auckland, New Zealand

Building disease ontology maps: In silico tools for applications in toxicology

Bernard Staumont¹, Luiz Ladeira¹, Alessio Gamba¹, Anouk Verhoeven², Julen Sanz Serrano², Eliška Kuchovská³, Job Berkhout⁴, Devon A. Barnes⁵, Marc Teunis⁶, Thomas H. Luechtefeld⁷, Thomas Hartung⁸, Ramiro Jover⁹, Tamara Vanhaecke², Ellen Fritsche^3,10, Harm J. Heusinkveld⁴, Aldert Piersma^4,11, Rosalinde Masereeuw⁵, Mathieu Vinken², Liesbet Geris^1,12

1: Biomechanics Research Unit, GIGA In Silico Medicine, University of Liège, Liège, Belgium; 2: Department of In Vitro Toxicology and Dermato-cosmetology, Vrije Universiteit Brussel, Brussels, Belgium; 3: IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany; 4: Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; 5: Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands; 6: Innovative Testing in Life Sciences & Chemistry, University of Applied Sciences Utrecht, The Netherlands; 7: ToxTrack, Baltimore, MD, USA; 8: Center for Alternatives to Animal Testing (CAAT) - Europe, University of Konstanz, Germany; CAAT, Johns Hopkins University, Baltimore, MD, USA; Johns Hopkins University, Doerenkamp-Zbinden Chair for Evidence-based Toxicology, Baltimore, MD, USA; 9: Departamento de Bioquímica y Biología Molecular, Universidad de Valencia, Valencia, Spain; Experimental Hepatology and Liver Transplant Unit, Health Research Institute La Fe, Valencia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain; 10: Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; 11: Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; 12: Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, Leuven, Belgium; Biomechanics Section, Department of Mechanical Engineering, KU Leuven, Leuven, Belgium

Modelling toxicity after prostate cancer radiotherapy using genetically guided pixel-wise analysis

Tiziana Rancati¹, Eliana Gioscio¹, Michela Carlotta Massi², Nicola Rares Franco², Petra Seibold³, Barbara Avuzzi¹, Alessandro Cicchetti¹, Barry Rosenstein⁴, David Azria⁵, Ananya Choudhury⁶, Dirk De Ruysscher⁷, Maarten Lambrecht⁸, Elena Sperk⁹, Christopher J. Talbot¹⁰, Ana Vega¹¹, Liv Veldeman¹², Adam Webb¹¹, Paolo Zunino², Anna Maria Paganoni², Francesca Ieva², Andrea Manzoni², Sarah L. Kerns¹³, Alison Dunning¹⁴, Sara Gutierrez-Enriquez¹⁵, Jenny Chang-Claude³, Catharine M. L. West⁶

1: Fondazione IRCCS - Istituto Nazionale dei Tumori, Italy; 2: Politecnico di Milano, Italy; 3: German Cancer Research Center (DKFZ), Germany; 4: Icahn School of Medicine at Mount Sinai, US; 5: Université de Montpellier, France; 6: University of Manchester, UK; 7: Maastricht University Medical Centre, The Netherland; 8: University Hospitals Leuven, Belgium; 9: University Medical Centre Mannheim, Germany; 10: University of Leicester, UK; 11: Fundaciòn Pùblica Galega Medicina Xenòmica, Spain; 12: Ghent University Hospital, Belgium; 13: Medical College of Wisconsin, US; 14: University of Cambridge, UK; 15: Vall d'Hebron Institute of Oncology, Spain

Virtual Cornea: A computational approach for predicting corneal injury and recovery from chemical exposures

Joel Vanin¹, Michael Getz¹, James A. Glazier¹, Thomas B. Knudsen², Catherine Mahony³

1: Department of Intelligent Systems Engineering and Biocomplexity Institute, Indiana University, Bloomington, IN;; 2: Center for Computational Toxicology and Exposure, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC;; 3: Procter & Gamble, Technical Centre, Reading, United Kingdom

Natalia A. Trayanova

Johns Hopkins University, Baltimore, USA