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

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

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

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

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

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