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