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