Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
Location: Foyer II (In front of auditoriums) KII, Keplerstraße 17, Stuttgart Foyer in front of auditoriums |
Date: Tuesday, 03/Sept/2024 | |
12:00pm - 1:00pm |
Break I: Break Location: Foyer II (In front of auditoriums) |
6:00pm - 10:00pm |
Student event: Student social event Location: Foyer II (In front of auditoriums) |
Date: Wednesday, 04/Sept/2024 | |
10:00am - 10:30am |
Coffee break: Coffee break Location: Foyer II (In front of auditoriums) |
2:30pm - 3:30pm |
P1: Poster Session 1 Location: Foyer II (In front of auditoriums) Virtual tissue constructs to assess the potential of electrical impedance spectroscopy as a method for tissue identification and pathology diagnosis 1: Department of Computer Science, University of Sheffield, United Kingdom; 2: Insigneo Institute of in silico Medicine, University of Sheffield, United Kingdom; 3: Liverpool Head and Neck Centre, Molecular and Clinical Cancer Medicine, University of Liverpool Can riot-control water cannon be lethal? 1: Beijing Institute of Technology, 100081, Beijing, China; 2: Department of Biomechanics and Accident Research, Ludwig-Maximilians-University Munich, Munich, Germany.; 3: Faculty of Mechanical Engineering, Technion - Israel Institute of Technology, 32000 Haifa, Israel In silico modelling of the effect of vaping on pulmonary surfactant dynamics from alveolus to whole lung Auckland Bioengineering Institute, University of Auckland, New Zealand How does utero-placental vascular structure drive Doppler ultrasound? 1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, University of Auckland, New Zealand Exploring the interaction between electrical stimulation and cells by an image-based digital twin 1: University of Rostock, Germany; 2: Rostock University Medical Center; 3: University of Pavia Using sequential nephron segment simulation to understand mechanisms of diuretic resistance 1: Department of Physiology, University of Mississippi Medical Center, United States of America; 2: Department of Medicine, University of Mississippi Medical Center, United States of America Agent-based simulation of diffusion-MRI for the characterization of NASH Group SIMBIOTX, INRIA Saclay, 91120 Palaiseau, France Role of conduction channels in ventricular arrhythmias: Insights from in silico simulation and clinical data 1: Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Valencia, Spain; 2: Valencian International University, Valencia, Spain; 3: Arrhythmia Department, Heart Institute, Teknon Medical Center, Barcelona, Spain Electrical power and energy distributions in AF activation could direct to areas of rotor stabilization 1: Universitat Politècnica de València, Valencia, Spain; 2: Universidad Rey Juan Carlos, Madrid, Spain; 3: University of Michigan, Ann Abor, Michigan, USA Inform design of a pulmonary artery pressure sensor using virtual cohorts 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 Modelling sodium transport in kidney tubuloids 1: Maastricht University, the Netherlands; 2: UMC Utrecht, the Netherlands; 3: University of Waterloo, Canada Utilising self-similarity to model the morphometry of the pulmonary arteries 1: University Of Auckland, Bioengineering Institute, New Zealand; 2: Brigham and Women’s Hospital (BWH) and Harvard Medical School (HMS) 3D model of the iliac vein unification – Sensitivity analysis 1: Sano Centre for Computational Medicine, Poland; 2: Division of Clinical Medicine, University of Sheffield, United Kingdom; 3: Insigneo Institute for in silico medicine, University of Sheffield, United Kingdom; 4: Royal Free London NHS Foundation Trust, United Kingdom; 5: Institute of Computer Science, AGH University of Science and Technology, Kraków, Poland; 6: University College London, London, UK Evaluating the flow convergence method in mitral regurgitation analysis: Insights from computational fluid dynamics and pulsatile in-vitro studies 1: Institute of Fluid Mechanics (ISTM), Karlsruhe Institute of Technology (KIT), Germany; 2: Department of Cardiac Surgery, Heidelberg University Hospital, Heidelberg, Germany.; 3: Department of Internal Medicine III, Heidelberg University Hospital, Heidelberg, Germany; 4: Department of Anaesthesiology, Heidelberg University Hospital, Heidelberg, Germany In-silico design of wearable- and model-driven digital twins for cardiovascular disease monitoring University of Trento, Italy Parameter estimation from undersampled MRI in frequency space University of Groningen, Netherlands, The Computational study of the assessment of atria vulnerability to mutation-induced AF in 3D human atria 1: Universitat Politecnica de Valencia, Spain; 2: Hospital Universitari i Politecnic La Fe, Valencia, Spain Mapping persistent atrial fibrillation dynamics: Insights from electro-optic flow analysis in a virtual patient population Queen Mary University of London, United Kingdom Integrating care: Abalietas as a bridge between clinical quality registers and electronic medical records for enhanced machine learning applications in healthcare Sano – Centre for Computational Personalised Medicine International Research Foundation, Poland PyPopSim: Form single simulation to population studies Université de Technologie de Compiègne, Alliance Sorbonne Universités, CNRS, UMR 7338 Biomécanique et Bio-ingénierie, Centre de recherche Royallieu, CS 60 319 Compiègne, France Towards international standardization of computational modeling and simulation in the field of medical devices Fraunhofer IMTE, Germany A physiologically based digital twin for alcohol consumption – Predicting real-life drinking responses and long-term plasma PEth 1: Linköping University, Sweden; 2: Örebro University, Sweden Hipathia and metabolizer: Unveiling disease mechanisms and enabling personalized medicine Andalusian Platform for Computational Medicine, Spain In silico modeling of cell migration over texturally treated curved surfaces 1: Biomechanics Research Unit, GIGA In Silico Medicine, University of Liège, Belgium; 2: Prometheus, division of Skeletal Tissue Engineering , KU Leuven, Belgium; 3: Biomechanics Section, KU Leuven, Belgium; 4: Skeletal Biology & Engineering Research Center, KU Leuven, Belgium Systematic understanding and categorization of modeling & simulation context of use in knee biomechanics Cleveland Clinic, United States of America Sensitivity analysis of a finite element model predicting the fixation stability of tibial plateau fractures 1: Institute for Biomechanics, ETH Zürich, Switzerland; 2: CustomSurg AG, Switzerland; 3: Brigham and Women's Hospital, Harvard Medical School, Boston, USA; 4: Bispebjerg Hospital, Copenhagen, Denmark Designing a single-use novel surgical kit for a cervical facet cage implantation through iterative FE simulations 1: Department of Chemistry, Materials and Chemical Engineering “Giulio Natta” - LaBS, Politecnico di Milano (Italy); 2: IRCCS Istituto Ortopedico Galeazzi (Italy) 3D optical scanning toward personalised whole-body models 1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Department of Engineering Science, University of Auckland, New Zealand A machine learning-based in silico assessment to predict human respiratory irritants and toxicity Kumoh National Institue of Technology, Korea, Republic of (South Korea) Unsupervised learning for MRI cross-scanner harmonization 1: Auckland Bioengineering Institute, University of Auckland, New Zealand; 2: Mātai Medical Research Institute, Gisborne, New Zealand; 3: Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, New Zealand; 4: Centre for Brain Research, University of Auckland, New Zealand |
6:00pm - 10:00pm |
Reception: Welcome Reception Location: Foyer II (In front of auditoriums) |
Date: Thursday, 05/Sept/2024 | ||
10:00am - 10:30am |
Coffee break III: Coffee break Location: Foyer II (In front of auditoriums) |
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2:30pm - 3:30pm |
Coffee break II: Coffee break Location: Foyer II (In front of auditoriums) |
P2: Poster Session 2 Location: Foyer II (In front of auditoriums) Incorporating wearable sensor data into research workflows Auckland Bioengineering Institute, University of Auckland, New Zealand Modelling the neural regulation of gastric motility at the tissue level University of Auckland, New Zealand Efficient numerical simulation of effective micro-macro models for reactive transport in elastic perforated media 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 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 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 1: Universitat Pompeu Fabra, Spain; 2: ICREA, Spain Sensory perturbation due to blood flow restriction leads to change in active MU pool 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 1: University of Ljubljana, Medical faculty, Ljubljana, Slovenia; 2: University Clinical Centre, Ljubljana, Slovenija Development of a hemodynamic model to simulate heart failure patients 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 Univ. Grenoble Alpes, CEA, LETI, DTIS, Grenoble, France Pre-procedural planning of transcatheter heart valve interventions using imaging and in silico modelling University of Cambridge, United Kingdom A 0D-1D global, closed-loop model of the cardiovascular system 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 University of Trento, Italy A comparative study between 3D segmentation methods of aorta in contrast enhanced MR acquisitions 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 Simq GmbH, Germany Atmospheric pollutants and atrial arrhythmias: An in silico study 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 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 Sano – Centre for Computational Personalised Medicine International Research Foundation, Poland Creation and regression analysis of a hemodynamic virtual patient database 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 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) 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 1: Maastricht University, the Netherlands; 2: UMC Utrecht, the Netherlands; 3: Lund University, Sweden Toward multiscale lymph node model: T cell search strategy study CUNI, Czech Republic Software infrastructure tools for biomedical models in systems biology University of Washington, United States of America Probabilistic Boolean modelling highlights neural tube closure dynamics and molecular signalling insights 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 First Faculty of Medicine, Charles University Prague, Czech Republic In silico clinical trial to predict the efficacy of alendronate for preventing hip fractures 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 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 University of Rostock, Germany Machine learning framework to study the impact of metastatic cancer in the spine 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 RWTH Aachen, Germany Limits and capabilities of diffusion models for the anatomic editing of digital twins 1: MIT, United States of America; 2: Brigham and Women's Hospital Cross-disease predictive analysis for pandemic preparedness 1: Institute for Computational Biomedicine, RWTH Aachen, Germany; 2: Departement of Intensive Care Medicine, University Hospital RWTH Aachen, Germany |
Date: Friday, 06/Sept/2024 | |
10:30am - 11:00am |
Coffee break IV: Coffee break Location: Foyer II (In front of auditoriums) |
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