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

Malwina Matella1,2, Keith Hunter3, Zi-Qiang Lang1,2, Zhicheng Lin1,2, Dawn Walker1,2

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?

Yinze LEI1, Jing XIE1, María González García2, Daniel Rittel3

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

Ruobing Li, Alys Clark, Merryn Tawhai, David Nickerson, Kelly Burrowes

Auckland Bioengineering Institute, University of Auckland, New Zealand



How does utero-placental vascular structure drive Doppler ultrasound?

Nipuni D. Nagahawatte1, Toby Jackson1, Joanna James2, Alys R. Clark1

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

Vien Lam Che1, Meike Bielfeldt2, Nils Arbeiter1, Barbara Nebe2, Ursula van Rienen1, Julius Zimmermann1,3

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

W Andrew Pruett1, Marion Wofford2, John S Clemmer1, Robert L Hester1

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

Charles Boulitrop, Jiři Pešek, Dirk Drasdo

Group SIMBIOTX, INRIA Saclay, 91120 Palaiseau, France



Role of conduction channels in ventricular arrhythmias: Insights from in silico simulation and clinical data

Javier Villar-Valero1, Juan F Gomez2, David Soto-Iglesias3, Diego Penela3, Antonio Berruezo3, Beatriz Trenor1

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

Guadalupe Garcia-Isla1, Yaiza Sánchez1, Laura Martínes-Mateu2, Javier Saiz1, Omer Berenfeld3

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

Jan Brüning1,2, Adriano Schlief1,2, Pavlo Yevtushenko1,2, Jan Romberg3, Andreas Arndt3,4,5, Leonid Goubergrits1,2

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



Modelling sodium transport in kidney tubuloids

Sangita Swapnasrita1,2, Anita Layton3, Aurelie MF Carlier1

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

Atefeh Rahimi1, Joyce John1, Alys Clark1, Kelly Burrowes1, Farbod N Rahaghi2, Raul San Jose Estepar2, Merryn Tawhai1

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

Magdalena Otta1,2,3, Jan Meizner1, Ian Halliday2,3, Maciej Malawski1,5, Chung Lim4, Janice Tsui4,6, Andrew Narracott2,3

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

Alexander Stroh1, Robin Leister1, Roger Karl2,3, Lubov Stroh4, Derliz Mereles3, Matthias Eden3, Luis Neff4, Raffaele de Simone2, Gabriele Romano2, Matthias Karck2, Christoph Lichtenstern4, Norbert Frey3, Jochen Kriegseis1, Bettina Frohnapfel1, Sandy Engelhardt2,3

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

Bianca Maria Laudenzi, Lucas Omar Müller

University of Trento, Italy



Parameter estimation from undersampled MRI in frequency space

Miriam Löcke, Cristobal Bertoglio

University of Groningen, Netherlands, The



Computational study of the assessment of atria vulnerability to mutation-induced AF in 3D human atria

Rebecca Belletti1, Joaquín Osca2, Lucia Romero Perez1, Javier Saiz1

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

Ovais Ahmed Jaffery, Alexander Zolotarev, Carlos E. Barrera, Cristobal Rodero, Steven Niederer, Edward J. Vigmond, Wilson W.Good, Gregory Slabaugh, Caroline H. Roney

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

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

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



PyPopSim: Form single simulation to population studies

Jeremy Laforet, Sofiane Boudaoud

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

Charlott Danielson

Fraunhofer IMTE, Germany



A physiologically based digital twin for alcohol consumption – Predicting real-life drinking responses and long-term plasma PEth

Henrik Podéus1, Christian Simonsson1, Patrik Nasr1, Mattias Ekstedt1, Stergios Kechagias1, Peter Lundberg1, William Lövfors1,2, Gunnar Cedersund1,2

1: Linköping University, Sweden; 2: Örebro University, Sweden



Hipathia and metabolizer: Unveiling disease mechanisms and enabling personalized medicine

Kinza Rian, Joaquin Dopazo

Andalusian Platform for Computational Medicine, Spain



In silico modeling of cell migration over texturally treated curved surfaces

Majid Nazemi1, Liesbet Geris1,2,3,4

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

Snehal Chokhandre, Ahmet Erdemir

Cleveland Clinic, United States of America



Sensitivity analysis of a finite element model predicting the fixation stability of tibial plateau fractures

Simon Comtesse1,2, Alexander Crotta1, Arvind von Keudell2,3,4, Stephen J. Ferguson1, Thomas Zumbrunn2

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

Luca Ciriello1, Tomaso Villa1,2

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

Alexander Dixon1, Robin Laven1, Poul Nielsen1,2

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

Yunendah Nur Fuadah, Lulu Firdaus, Ki Moo Lim

Kumoh National Institue of Technology, Korea, Republic of (South Korea)



Unsupervised learning for MRI cross-scanner harmonization

Grace Wen1, Alan Wang1,3,4,, Vickie Shim1,2,4, Samantha Holdsworth2,3,4

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)
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

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-Radu1,2

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 Klotz1,2, Justus Marquetand3, Oliver Röhrle1,2

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 Bhattacharya1,4, Andrew South2,4, My Mahoney2,4, Adam Luginbuhl3,4, Rajanikanth Vadigepalli1,4

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 Ballester1,2, 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 Bubeck1,2, Mansour Taleshi3, Ivan Vujaklija3, Oliver Röhrle1,2, 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 Franz1,2, Arina Borzistaia1,2, Titus Kühne1,2, Leonid Goubergrits1,2

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 Caforio2,3,4

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 Leonte1,2, Alexandru Constantin Serban1,2, Lucian Mihai Itu1,2

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 Schlief1,2, Simon Bender1,2, Peter Kramer2,3, Marie Schafstedde1,2,4, Jan Brüning1,2,4

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 Spohn2,3,4, Anca-Ligia Grosu2,3, Dimos Baltas3,5, Ilias Sachpazidis3,5, Constantinos Zamboglou2,3,6, 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 Swapnasrita1,2, 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 Geris3,4, Bernard Staumont3, Rudi Balling5, Marek Ostaszewski1,6, Venkata Satagopam1,6, Reinhard Schneider1,6

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 Nguyen1,2,3, Sara Oliviero1,4, Giacomo Savelli1,4, Antonino Amedeo La Mattina4, Marco Viceconti1,4

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 Malhotra2,3, Madhusudan Pal4,5, 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. Edelman1,2

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

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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