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

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

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

Multiscale modelling and estimation of lung poromechanics

Martin Genet, Alice Peyraut

École Polytechnique, France

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

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

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

Personalised computational models of paediatric lung structure from novel lung MRI

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

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

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

Joyce John, Kelly Burrowes, Merryn Tawhai

Auckland Bioengineering Institute, The University of Auckland, New Zealand

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

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

University of Canterbury, New Zealand

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

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

University of, New Zealand

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

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

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

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

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

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

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

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

The University of Auckland, New Zealand

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

Mahesh Ola, Richard Russell, Chris Brightling, Himanshu Kaul

University of Leicester, United Kingdom

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