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

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

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

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

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

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

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

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

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

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

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

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

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

James A Glazier

Indiana University, United States of America

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

Sebastian Brandstaeter, Alexander Popp

University of the Bundeswehr Munich, Germany

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

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

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

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

Thierry Marchal^1,2

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

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

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

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

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

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

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

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

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

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

An in silico medicine info kit for effective stakeholder engagement

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

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

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