Lynne E. Bilston

University of New South Wales, Sydney, Australia

Computational modeling of desmoplakin cardiomyopathy

Javiera Jilberto, Adam Helms, David Nordsletten

University of Michigan, United States of America

Determination of stimulation threshold in a 3D model of a pacemaker

Valentin Pannetier¹, Michael Leguèbe¹, Yves Coudière¹, Guilhem Faure², Delphine Feuerstein²

1: Université de Bordeaux / IHU Liryc / Inria, France; 2: Microport CRM, France

Development of an automated pipeline for large-scale in silico trials in patient-specific electromechanical ventricular models

Ruben Doste¹, Julia Camps¹, Zhinuo Jenny Wang¹, Lucas Arantes Berg¹, Marcel Beetz², Abhirup Banerjee², Vicente Grau², Blanca Rodriguez¹

1: Department of Computer Science, University of Oxford, United Kingdom; 2: Department of Engineering Science, University of Oxford, United Kingdom

A strongly coupled electromechanical model of heart failure as a benchtest for proarrhythmia assessment and drug testing

Eva Casoni¹, Jazmin Aguado-Sierra¹, Maite Mora³, Sergi Picó², Juan Francisco Gómez³, Mariano Vázquez^1,2, Beatriz Trenor³

1: ELEM Biotech, Spain; 2: Barcelona Supercomputing Center, Spain; 3: Universitat Politècnica de València, Spain

Personalisation of action potentials based on activation recovery intervals in post-infarcted pigs: A simulation study

Jesus Jairo Rodríguez Padilla¹, Rafael Silva¹, Buntheng Ly², Mihaela Pop¹, Maxime Sermesant¹

1: Centre Inria d'Université Côte d'Azur, France; 2: IHU Liryc, Université de Bordeaux, France

CANCELLED - Efficient multiscale fluid flow modelling by a Stokes-enforcing boundary condition

Jeremías Garay^1,2, David Nolte¹, Cristóbal Bertoglio¹

1: University of Groningen, The Netherlands; 2: Pontificia Universidad Católica, Chile

An investigation into cerebral perfusion sensitivity under different haemodynamic and anatomical variations

Stephen A. Creamer¹, Finbar J. Argus¹, Debbie Zhao¹, Martyn P. Nash^1,3, Julian F. R. Paton², Gonzalo Maso Talou¹

1: Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; 2: Department of Physiology, Translational Cardio-Respiratory Laboratory, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand; 3: Department of Engineering Science and Biomedical Engineering, University of Auckland, Auckland, New Zealand

Inverse modelling approach to identify model parameters in 0D pulmonary haemodynamic simulation models

Yufei Wang, James Butterworth, Alejandro Diaz De La O, Rebecca Shipley, Ryo Torii

University College London, United Kingdom

Neural networks for efficient sensitivity analysis and parameter estimation of dynamical systems for blood and solute whole-body circulation

John M. Hanna, Pavlos Varsos, Jérôme Kowalski, Roel Meiburg, Irene E. Vignon-Clementel

Inria, Palaiseau, France

Comparison of 4D flow magnetic resonance imaging with blood flow simulations before and after left atrial appendage occlusion

Paula Casademunt¹, Xabier Morales Ferez¹, Jordi Mill¹, Carlos Albors¹, Íñigo Anduaga², Pedro Cepas², Ada Doltra², Xavier Freixa², Oscar Camara¹

1: Pompeu Fabra University, Department of Information and Communications Technologies, Barcelona, Spain; 2: Hospital Clínic, Universitat de Barcelona, Cardiovascular Institute, Barcelona, Spain

Quantitative perfusion assessment: A mechanistic model to interpret dynamic imaging

Jérôme Kowalski¹, Stefan Koning², Lorenzo Sala³, Roderick C. Peul², Mo W. Kruiswijk², Joost R. Van der Vorst², Irene Vignon-Clementel¹

1: Inria Saclay, France; 2: Leiden University Medical Center, The Netherlands; 3: Inrae, France

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

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

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

HPC in Biomechanics - Challenges, Current Research and Future Opportunities

Johannes Gebert, Benjamin Schnabel

High-Performance Computing Center Stuttgart, Germany

A user interface to facilitate visualization and integration of predictions for mechanical femur strength.

Massimiliano Mercuri¹, Filippo Nardini², Cristina Curreli³, Antonino A. La Mattina³, Sabato Mellone², Marco Viceconti^1,3

1: Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.; 2: Department of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy; 3: Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano 1/10, 40136, Bologna, Italy.

Enhancing large-scale cohort simulations through integrated HPC infrastructure and model execution environment

Karol Zając¹, Taras Zhyhulin¹, Piotr Nowakowski^1,2, Jan Meizner^1,2, Bartosz Baliś¹, Konrad Czerepak¹, Marek Kasztelnik², Piotr Połeć², Sara Oliviero³, Maciej Malawski^1,2

1: Sano - Centre for Computational Personalized Medicine, Kraków, Poland; 2: ACC Cyfronet AGH, Kraków, Poland; 3: Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Bologna, Italy

Code verification of contact analysis using a micro-finite-element solver

Frederik Max Trommer^1,2, Pinaki Bhattacharya^1,2

1: Department of Mechanical Engineering, University of Sheffield, United Kingdom; 2: Insigneo Institute for in silico Medicine

Classification of retinal vein occlusion and diabetic macular edema with deep learning in OCT images

Guilherme Barbosa¹, Eduardo da Silva Carvalho¹, Ana Guerra¹, Nilza Ramião¹, Marco Parente^1,2, Sónia Torres-Costa^3,4, Manuel Falcão^3,4

1: INEGI - Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal; 2: DEMec - Department of Mechanical Engineering, Faculty of Engineering of University of Porto (FEUP), Porto, Portugal; 3: Surgery and Physiology Department, Faculty of Medicine of University of Porto (FMU; 4: Ophthalmology Department, ULS São Joao, Porto, Portugal

A novel in silico approach for the analysis of muscular loads in the lumbar spine

Linda Carpenedo¹, Luigi La Barbera^1,2

1: LaBS, Department of Chemistry, Materials and Chemical Engineering “G.Natta”, Politecnico di Milano; 2: IRCCS Galeazzi-Sant’Ambrogio Hospital, Italy

A novel in silico parametric tool for surgical-decision in lumbar spine fixation and fusion

Luigi La Barbera^1,2, Emilia Bellina^1,3, Linda Carpenedo¹, Gabriele Capo³, Maurizio Fornari³

1: LaBS, Department of Chemistry, Materials and Chemical Engineering “G.Natta”, Politecnico di Milano, Italy; 2: IRCCS Galeazzi-Sant’Ambrogio Hospital, Italy; 3: Department of Neurosurgery, IRCSS Humanitas Research Hospital, Milan, Italy

Spine surgery planification to avoid proximal junctional failure: A multi-criteria approach using finite element modelling

Morteza Rasouligandomani¹, Alex del Arco², Ferran Pellisé³, Miguel A. González Ballester^1,4, Fabio Galbusera⁵, Jérôme Noailly¹

1: BCN MedTech, DTIC, Pompeu Fabra University, Barcelona, Spain; 2: Hospital del Mar, Barcelona, Spain; 3: University Hospital Vall d’Hebron, Barcelona, Spain; 4: ICREA, Barcelona, Spain; 5: Shulthess Klinik, Zurich, Switzerland

In silico functional assessment of a new bio-degradable cage for lumbar interbody fusion through a fully-parametric spine model generator

Davide Ninarello¹, Giacomo Morozzi², Alberto Ballardini², Luigi La Barbera^1,3

1: Politecnico di Milano, Italy; 2: Greenbone Ortho S.p.A., Italy; 3: IRCCS Istituto Ortopedico Galeazzi, Italy

Modelling percutaneous vertebroplasty (and other processes) using the theory of porous media

Jan-Sören Lennart Völter, Tim Ricken, Oliver Röhrle

University of Stuttgart, Germany

From novel muscular mechanics principles to neurotechnology for human movement

Can A. Yucesoy

Bogazici University, Turkiye

Integrating intraoperative testing with musculoskeletal modeling: Muscle force-length relationship in patients with cerebral palsy

Cemre Su Kaya Keles¹, Filiz Ates¹, Can A. Yucesoy²

1: Institute of Structural Mechanics and Dynamics in Aerospace Engineering, University of Stuttgart, Stuttgart, Germany; 2: Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Türkiye

The development of LSTM-based ankle position and moment estimator for powered ankle prosthesis using nonnormalized sEMG and feature inputs

Ahmet Dogukan Keles¹, Can A. Yucesoy²

1: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany; 2: Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Türkiye

Boosting the performance of lightweight deep learning models with attention in human activity recognition

Özlem Durmaz¹, Sümeyye Ağaç²

1: University of Twente; 2: Bogazici University

Joint angle generation for human walking using conditional neural movement primitives

Mehmet Selcuk Albayrak, Muhammet Hatipoglu, Evren Samur, Emre Ugur

Bogazici University, Turkiye

Smartphone application for quantitative assessment of gait and balance impairments in stroke patients

Otar Akanyeti¹, Federico Villagra Povina¹, Arshad Sher^1,2, Magali Sganga^1,3,4

1: Aberystwyth University, United Kingdom; 2: Nottingham Trent University, United Kingdom; 3: Universidad Maimónides, Argentina; 4: Universidad Nacional de La Matanza, Argentina

Incorporating wearable sensor data into research workflows

Gregory B Sands, Hayden Randles, Poul M F Nielsen

Auckland Bioengineering Institute, University of Auckland, New Zealand

Modelling the neural regulation of gastric motility at the tissue level

Omkar N. Athavale, Recep Avci, Alys R. Clark, Leo K. Cheng, Peng Du

University of Auckland, New Zealand

Efficient numerical simulation of effective micro-macro models for reactive transport in elastic perforated media

Jonas Knoch¹, Nicolas Neuß¹, Markus Gahn², Maria Neuss-Radu^1,2

1: FAU Erlangen-Nürnberg, Germany; 2: Universität Heidelberg, Germany

The development of the phantom fiber to mimick muscle fibre activity for the validation of magnetomyography sensors

Ahmet Dogukan Keles¹, Thomas Klotz^1,2, Justus Marquetand³, Oliver Röhrle^1,2

1: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany; 2: Stuttgart Center for Simulation Sciences (SC SimTech), University of Stuttgart, Stuttgart, Germany; 3: MEG-Center Tübingen, University of Tübingen, Tübingen, Germany

A multiscale network model of tumor microenvironment to predict immunotherapeutic response of head and neck cancers

Priyan Bhattacharya^1,4, Andrew South^2,4, My Mahoney^2,4, Adam Luginbuhl^3,4, Rajanikanth Vadigepalli^1,4

1: Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America; 2: Department of Pharmacology, Physiology and Cancer Biology, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America; 3: Department of Otolaryngology - Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America; 4: Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America

Mechanobiological modelling to capture relative effects of deviatoric and volumetric stresses on epiphyseal bone growth

Jorge Mateos Arriola¹, Carlos Ruiz Wills¹, Miguel A. González Ballester^1,2, Jérôme Noailly¹

1: Universitat Pompeu Fabra, Spain; 2: ICREA, Spain

Sensory perturbation due to blood flow restriction leads to change in active MU pool

Franziska Bubeck^1,2, Mansour Taleshi³, Ivan Vujaklija³, Oliver Röhrle^1,2, Leonardo Gizzi⁴

1: Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany; 2: Stuttgart Center for Simulation Science, University of Stuttgart, Stuttgart, Germany; 3: Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland; 4: Department of Biomechatronic Systems, Fraunhofer Institute for Manufacturing Engineering and Automation, Stuttgart, Germany

A graphic representation of arterial pulse pressure vs. mean arterial pressure time series may be used for clinical decision support during intraoperative hypotension

Estefanía Žugelj Tapia¹, Marko Žličar², Borut Kirn¹

1: University of Ljubljana, Medical faculty, Ljubljana, Slovenia; 2: University Clinical Centre, Ljubljana, Slovenija

Development of a hemodynamic model to simulate heart failure patients

Juliana Franz^1,2, Arina Borzistaia^1,2, Titus Kühne^1,2, Leonid Goubergrits^1,2

1: Charité - Universitätsmedizin Berlin, Germany; 2: Deutsches Herzzentrum der Charité, Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany

Hypertensive signature in the photoplethysmography signal by combining a whole-body cardiovascular model and optical simulations

Clement Vasseur, Xavier Bednarek, Pierre Blandin, Matthieu Perriolat, Guillaume Blanquer

Univ. Grenoble Alpes, CEA, LETI, DTIS, Grenoble, France

Pre-procedural planning of transcatheter heart valve interventions using imaging and in silico modelling

Shelly Singh-Gryzbon

University of Cambridge, United Kingdom

A 0D-1D global, closed-loop model of the cardiovascular system

Stefano Costa¹, Lucas Omar Mueller¹, Federica Caforio^2,3,4

1: Dipartimento di Matematica, Università di Trento, (Italy); 2: Department of Mathematics and Scientific Computing, NAWI Graz, University of Graz (Austria); 3: Gottfried Schatz Research Center: Division of Biophysics, Medical University of Graz (Austria); 4: BioTechMed-Graz, (Austria)

In silico validation of TAG-based coronary blood flow distribution methods for patient-specific computational iFR prediction

Ester Bergantin, Lucas Omar Müller

University of Trento, Italy

A comparative study between 3D segmentation methods of aorta in contrast enhanced MR acquisitions

Horia Andrei Leonte^1,2, Alexandru Constantin Serban^1,2, Lucian Mihai Itu^1,2

1: Electrical Engineering and Computer Science, Transilvania University of Brasov, Romania; 2: Advanta, Siemens SRL, Brasov, Romania

Simulation workflow for stent-assisted coiling of brain aneurysms

Felix Borges, Alexander Pugachev

Simq GmbH, Germany

Atmospheric pollutants and atrial arrhythmias: An in silico study

Catalina Tobon¹, Laura C Palacio¹, Sami F Noujaim², Javier Saiz³

1: MATBIOM, Universidad de Medellín, Medellín, Colombia; 2: Department of Molecular Pharmacology and Physiology, Morsani College of Medicine, University of South Florida, Tampa, FL, United States; 3: Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain

In-silico assessment of hemodynamics in stenoses of the fontan circulation

Adriano Schlief^1,2, Simon Bender^1,2, Peter Kramer^2,3, Marie Schafstedde^1,2,4, Jan Brüning^1,2,4

1: Institute of Computer-assisted Cardiovascular Medicine, Charité – Universitätsmedizin Berlin, Germany; 2: Deutsches Herzzentrum der Charité, Berlin, Germany; 3: Department of Pediatric Cardiology, Charité – Universitätsmedizin Berlin, Germany; 4: DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany

A clinical decision support tool for patient management

Krzysztof Gądek, Adam Nowak, Rafał Niżankowski, Dominik Radziszowski, Joanna Twaróg, Maja Więckiewicz

Sano – Centre for Computational Personalised Medicine International Research Foundation, Poland

Creation and regression analysis of a hemodynamic virtual patient database

Richard Weber, Márta Viharos, Katalin Pálfalvi, Dániel Gyürki, György Paál

Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics Műegyetem rkp. 3., H-1111 Budapest, Hungary

Towards a prostate cancer radiotherapy digital twin: Simulating the response of prostate cancer to external radiotherapy through mechanistic multiscale modelling. Sensitivity analysis and clinical adaptation

Eleni Kolokotroni A.¹, Foteini Panagiotidou¹, Stamatia Tsampa¹, Christos Kyroudis¹, Simon Spohn^2,3,4, Anca-Ligia Grosu^2,3, Dimos Baltas^3,5, Ilias Sachpazidis^3,5, Constantinos Zamboglou^2,3,6, Georgios S. Stamatakos¹

1: National Technical University of Athens, School of Electrical and Computer Engineering, Institute of Communication and Computer Systems, In Silico Oncology and In Silico Medicine Group, Greece; 2: University of Freiburg, Faculty of Medicine, University Medical Center Freiburg, Department of Radiation Oncology, Germany; 3: German Cancer Consortium (DKTK). Partner Site Freiburg, Germany; 4: Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany; 5: University of Freiburg, Faculty of Medicine, University Medical Center Freiburg, Department of Radiation Oncology, Division of Medical Physics, Germany; 6: German Oncology Center, European University Cyprus, Limassol, Cyprus

Recommendations and requirements for implementing computational models in clinical integrated decision support systems (ISO/TS 9491-2)

Laura Lopez-Perez¹, Elena Martinelli², Marc Kirschner³, Sylvia Krobitsch³, Heike Moser⁴, Giuseppe Fico¹, Tito Poli², Martin Golebiewski⁵

1: Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, 28040 Madrid, Spain; 2: Unit of Maxillofacial Surgery, Department of Medicine and Surgery, University Hospital of Parma, Parma, Italy; 3: Forschungszentrum Jülich GmbH, Projekt Management Jülich, Jülich, Germany; 4: DIN - German Institute for Standardization, Berlin, Germany; 5: Heidelberg Institute for Theoretical Studies (HITS gGmbH), Heidelberg, Germany

Benchmarking computational models of peritoneal dialysis in pigs and patients

Sangita Swapnasrita^1,2, Joost C deVries², Carl Oberg³, Aurelie MF Carlier¹, Karin GF Gerritsen²

1: Maastricht University, the Netherlands; 2: UMC Utrecht, the Netherlands; 3: Lund University, Sweden

Toward multiscale lymph node model: T cell search strategy study

Tomas Bily, Sára Štráchalová, Alžběta Prášilová

CUNI, Czech Republic

Software infrastructure tools for biomedical models in systems biology

Herbert Martin Sauro

University of Washington, United States of America

Probabilistic Boolean modelling highlights neural tube closure dynamics and molecular signalling insights

Ahmed Hemedan¹, Job Berkhout², Luiz Ladeira³, Alessio Gamba³, Harm Heusinkveld², Liesbet Geris^3,4, Bernard Staumont³, Rudi Balling⁵, Marek Ostaszewski^1,6, Venkata Satagopam^1,6, Reinhard Schneider^1,6

1: Luxembourg University, Luxembourg; 2: Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; 3: Biomechanics Research Unit, GIGA In Silico Medicine, University of Liège, Belgium; Skeletal Biology and Engineering Research Center, KU Leuven, Belgium; 4: Biomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium; 5: Institute of Molecular Psychiatry, University of Bonn, Bonn, Germany; 6: ELIXIR Luxembourg, Belvaux, Luxembourg

Explanatory models of human physiology to teach pathophysiology of diabetic ketoacidosis with simulators

Tomas Kulhanek, Jiri Kofranek

First Faculty of Medicine, Charles University Prague, Czech Republic

In silico clinical trial to predict the efficacy of alendronate for preventing hip fractures

Sophie Nguyen^1,2,3, Sara Oliviero^1,4, Giacomo Savelli^1,4, Antonino Amedeo La Mattina⁴, Marco Viceconti^1,4

1: Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Italy; 2: Faculty of Applied Sciences, University of Liège, Belgium; 3: Biomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium; 4: Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy

Comparative assessment of lower limb joint angle estimation between BTS system and OpenSim

Mahshida Hamid¹, Sanyam Phutela¹, Rounak Bhattacharyya¹, Manish Gupta², Bhavuk Garg², Rajesh Malhotra^2,3, Madhusudan Pal^4,5, Anoop Chawla¹, Sudipto Mukherjee¹, Kaushik Mukherjee¹

1: Indian Institute of Technology Delhi, India; 2: All Indian Institute of Medical Sciences, New Delhi, India; 3: Indraprastha Apollo Hospital, New Delhi, India; 4: Defense Institute of Physiology & Allied Science, Defence Research & Development Organisation, Delhi, India; 5: Center of Excellence, Footwear Design & Development Institute, Noida, India

Quantification of periprosthetic bone loss using electrical impedance tomography

Lisa Krukewitt, Sascha Spors

University of Rostock, Germany

Machine learning framework to study the impact of metastatic cancer in the spine

Simão Laranjeira¹, Simon Walker-Samuel², Rebecca J. Shipley¹

1: UCL Mechanical Engineering, London, UK; 2: UCL Centre for Computational Medicine, Division of Medicine, London, UK

A sustainable neuromorphic framework for disease diagnosis using AI

Rutwik Gulakala, Marcus Stoffel

RWTH Aachen, Germany

Limits and capabilities of diffusion models for the anatomic editing of digital twins

Karim Kadry¹, Shreya Gupta¹, Farhad R. Nezami², Elazer R. Edelman^1,2

1: MIT, United States of America; 2: Brigham and Women's Hospital

Cross-disease predictive analysis for pandemic preparedness

Joana Elena Meyer¹, Sebastian Fritsch², Andreas Schuppert¹

1: Institute for Computational Biomedicine, RWTH Aachen, Germany; 2: Departement of Intensive Care Medicine, University Hospital RWTH Aachen, Germany

Instantaneous biomechanical model of the heart to characterize ventricular remodeling in complex congenital heart disease

Maria Gusseva¹, Nikhil Thatte², Daniel A. Castellanos², Peter E. Hammer³, Sunil J. Ghelani², Ryan Callahan⁴, Tarique Hussain¹, Radomir Chabiniok¹

1: UT Southwestern Medical Center, United States of America; 2: Department of Cardiology, Boston Children’s Hospital, Boston, MA, USA; 3: Department of Cardiac Surgery, Boston Children’s Hospital, Boston, MA, USA; 4: Division of Cardiology, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA

Construction and manufacturing of an MRI-ready experimental left heart phantom model

Moritz Wiegand¹, Tim Bierewirtz¹, Leonid Goubergrits^1,2, Katharina Vellguth¹

1: ICM, Deutsches Herzzentrum der Charité, Germany; 2: Einstein Center Digital Future

Predicting cardiac conduction disturbances during balloon aortic valvuloplasty from patient-specific computational models

Benjamin Ayo Matheson^1,2, Haoran Dou^1,2, Cristina Teleanu^1,2, George Hyde-Linaker³, Rebecca Bryan³, David Flynn⁴, Daniel Blackman⁵, Toni Lassila^1,2, Nishant Ravikumar^1,2, Alejandro F. Frangi^1,6,7, Zeike A. Taylor^1,2

1: Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB); 2: University of Leeds, United Kingdom; 3: Synopsys, Inc.; 4: Boston Scientific Corporation; 5: Leeds Teaching Hospitals NHS Foundation Trust; 6: Christabel Pankhurst Institute; 7: University of Manchester, United Kingdom

Hierarchical VVUQ strategy for the development and credibility assessment of a pulmonary heart valve model

Nils Götzen¹, Tahir Turgut¹, Omar Zahalka¹, Vincent Bouwman¹, Mikel Isasi², Malte Rolf-Pissarczyk³, Rick van Tunen⁴, Mathias Peirlinck⁴, Mohammad Mirzaali⁴

1: 4RealSim Services BV, Netherlands, The; 2: Leartiker, Spain; 3: TU-Graz, Austria; 4: TU-Delft, Netherlands, The

Predictive model for the assessment of the TEVAR procedure

Sara Barati¹, Giulia Luraghi¹, Anna Ramella¹, Benedetta Grossi², Francesco Migliavacca¹, Josè Felix Rodriguez Matas¹

1: Politecnico di Milano, Italy; 2: Humanitas University, IT

Alterations of the in vivo myocardium mechanical properties in aortic stenosis: Finite element analysis in a rat model

Mohammad Javad Sadeghinia¹, Henrik Nicolay Finsberg¹, Emil Espe^2,3, Ida Marie Hauge-Iversen^2,3, Lili Zhang^2,3, Einar S. Nordén^2,3, Ivar Sjaastad^2,3, Samuel Wall¹, Joakim Sundnes¹

1: Simula Research Laboratory, Oslo, Norway; 2: Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway; 3: K.G. Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway

In silico pre-operative TEVAR planning: Application to a patient-specific case

Anna Ramella¹, Giulia Luraghi¹, Sara Barati¹, Maurizio Domanin^2,3, Santi Trimarchi^2,3, Francesco Migliavacca¹

1: Politecnico di Milano, Milan, Italy; 2: Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy; 3: Università degli Studi di Milano, Milan, Italy

The role of secondary flow activities in the emergence of sidewall intracranial aneurysms

Benjamin Csippa, Péter Friedrich, György Paál

Budapest University of Technology and Economics, Faculty of Mechanical Engineering, Department of Hydrodynamics Systems,Hungary

Use of shape analysis and computational fluid dynamics for identification of factors relevant for aneurysm rupture

Ivan Benemerito¹, Luca Gherardini², Maria-Cruz Villa-Uriol¹, Andrew Narracott¹, Alberto Marzo¹, Jose Sousa²

1: Insigneo Institute for in silico medicine, University of Sheffield, United Kingdom; 2: Sano Centre for Computational Medicine, Krakow, Poland

Virtual particle tracking in geometries with cerebral aneurysms

Dániel Gyürki, György Paál

Department of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary

Left atrial appendage occlusion: A virtual model to simulate the implant procedure in patient-specific scenarios

Francesca Danielli^1,2, Francesca Berti¹, Benigno Marco Fanni³, Emanuele Gasparotti³, Andrea Colella¹, Alessandro Vitozzi¹, Simona Celi³, Giancarlo Pennati¹, Lorenza Petrini²

1: Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Italy; 2: Department of Civil and Environmental Engineering, Politecnico di Milano, Italy; 3: BioCardioLab, Bioengineering Unit, Fondazione Monasterio, Italy

Left atrial wall dynamics in in-silico fluid simulations of atrial fibrillation patients

Carlos Albors¹, Nerea Arrarte Terreros^2,3,4, Josquin Harrison⁵, Xabier Morales¹, Marta Saiz Vivó¹, Nils Planken³, Joris R. de Groot⁴, Maxime Sermesant⁵, Oscar Camara¹

1: Universitat Pompeu Fabra, Barcelona, Spain; 2: Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam, The Netherlands; 3: Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands; 4: Cardiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands; 5: Inria, France

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

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

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

Classification of glenoid bone loss patterns using statistical shape modelling

Harnoor Saini¹, Julie Kim¹, Marc Hirner², Sumit Raniga³, Desmond Bokor³, Thor Besier¹

1: Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; 2: Northland Orthopaedic Clinic, Whangarei, New Zealand; 3: Shoulder and Elbow Clinic, Macquarie University, Sydney, NSW, Australia

Strain analysis in the right ventricular outflow tract using non-parametric deformable shape modelling

Liam David Swanson^1,2, Raphael Sivera^1,2, Nicholas M. Jacobson³, Claudio Capelli^1,2, Catalina Vargas-Acevedo^4,5, Gareth J. Morgan^5,6,7, Silvia Schievano^1,2

1: Institute of Cardiovascular Sciences, University College London, London, United Kingdom; 2: Great Ormond Street Children’s Hospital, London, United Kingdom; 3: College of Engineering, Design and Computing, University of Colorado, Aurora, CO, United States of America; 4: Department of Pediatric Cardiology, University of Colorado, Aurora, CO, United States of America; 5: The Heart Institute, Children's Hospital Colorado, Aurora, CO, United States of America; 6: School of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO, United States of America; 7: Department of Cardiology, University of Colorado Hospital, Aurora, CO, United States of America

Hexahedral mesh fitting using scaffolds and statistical shape modelling to reproduce the cortical bone morphology of the femur

Ted Yeung, Thor Besier, Peter Hunter, Vickie Shim

Auckland Bioengineering Institute, University of Auckland, New Zealand

Development of a statistical shape and density model of the paediatric femur for personalised FE models in children

Yidan Xu, Laura Carman, Thor Besier, Julie Choisne

Auckland Bioengineering Institute, The University of Auckland, New Zealand

Generation of digital genetic twins satisfying utility and privacy metrics for robust post-hoc analyses

Igor Faddeenkov¹, Olivia Rousseau¹, Sonia Bourguiba-Hachemi¹, Sophie Limou^1,2, Nicolas Vince¹, Pierre-Antoine Gourraud^1,3

1: Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, F-44000 Nantes, France; 2: Ecole Centrale de Nantes, F-44300 Nantes, France; 3: Nantes Université, CHU Nantes, PHU11: Santé Publique, Clinique des données, INSERM CIC 1413, F-44000 Nantes, France

Domain adaptation methods for emotion and pain recognition via synthetic data

Jonas Nasimzada¹, Constantin Seibold², Alina Roitberg¹

1: University of Stuttgart, Germany; 2: University Medicine Essen, Germany

In-silico analysis of physiological joint mechanics within a complex musculoskeletal leg-system and its application to biomechanical evaluation of implants

Okan Avci¹, Animesh Ranjan², Armagan Can Yildiz³

1: Fraunhofer IPA, Germany; 2: Fraunhofer IPA, Germany; 3: Fraunhofer IPA, Germany

Development of a validated software framework for in-silico clinical trials of orthopedic devices

Lukas Connolly, Christine Mueri, Adam Henderson

Zimmer Biomet, Switzerland

In silico clinical trial to predict the efficacy of alendronate for preventing hip fractures

Sara Oliviero^1,2, Giacomo Savelli^1,2, Antonino Amedeo La Mattina², Sophie Nguyen^1,3, Marco Viceconti^1,2

1: Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Italy; 2: Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; 3: Department of Mechanical Engineering, Biomechanics Section, KU Leuven, Belgium

Assessing hip implant stability: A parametric surrogate modelling approach

Marlis Reiber^1,2, Fynn Bensel^1,3, Udo Nackenhorst^1,2,3

1: Leibniz University Hannover, Institute of Mechanics and Computational Mechanics, Appelstraße 9a, Hannover, 30167, Germany; 2: Hannover Medical School, TRR 298: Safety Integrated and Infection Reactive Implants (SIIRI), Carl-Neuberg-Straße 1, Hannover, 30625, Germany; 3: Leibniz University Hannover, International Research Training Group (IRTG) 2657, Appelstraße 11/11a, Hannover, 30167, Germany

In silico clinical trial for a regulatory submission of a total shoulder arthroplasty system

Christine Mueri¹, Ghislain Maquer¹, Henderson Adam¹, Connolly Lukas¹, Maged Awadalla², Jeff Bischoff², Philippe Favre¹

1: Zimmer Biomet, Switzerland; 2: Zimmer Biomet, USA

Estimating daily dynamic skeletal loading from ankle-worn activity monitors after menopause

Emma Fortune¹, Omid Jahanian¹, Melissa M. Morrow², Michelle M. Mielke³

1: Mayo Clinic, Minnesota, United States of America; 2: The University Medical Branch Texas, Texas, United States of America; 3: Wake Forest University School of Medicine, North Carolina, United States of America

Validating the Fitbit Charge 6 wearable activity monitor for use in physical activity interventions in lung cancer: Study protocol

Roberto Benzo^1,2,3, Rujul Singh³, Carolyn Presley^1,2, Zach Chaplow⁴, Brian Focht⁴, Chloe Hery³, Macy Tetrick³, Allison Cleveland³, Jane Yu⁵, Emma Fortune⁶

1: Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.; 2: Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, Ohio, USA.; 3: Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, USA.; 4: Kinesiology, Department of Human Sciences, The Ohio State University, USA.; 5: College of Medicine, The Ohio State University Columbus Ohio USA.; 6: Division of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.

Accelerating clinical decision making: Tailoring generic MSK models with subject-specific information is a good approximation to the personalized models

Pratik Nag^1,2, Alessandra Aldieri^1,2,3, Xinshan Li^4,5, Giorgio Davico^1,2, Marco Viceconti^1,2

1: Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy; 2: Laboratorio di Tecnologia Medica, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; 3: PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy; 4: Department of Mechanical Engineering, University of Sheffield, Sheffield, UK; 5: INSIGNEO Institute for in silico Medicine, University of Sheffield, Sheffield, UK

Gait analysis of patients with spinal cord injury: Influence of postoperative rehabilitation

Sanyam Phutela¹, Mahshida Hamid¹, Rounak Bhattacharyya¹, Manish Gupta², Bhavuk Garg², Rajesh Malhotra^2,3, Madhusudan Pal^4,5, Anoop Chawla¹, Sudipto Mukherjee¹, Kaushik Mukherjee¹

1: Indian Institute of Technology Delhi, India; 2: All Indian Institute of Medical Sciences, New Delhi, India; 3: Indraprastha Apollo Hospital, New Delhi, India; 4: Defense Institute of Physiology & Allied Science, Defence Research & Development Organisation, Delhi, India; 5: Center of Excellence, Footwear Design & Development Institute, Noida, India