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).
The COmputational MOdelling in BIology NEtwork in 2024: Standards and services for the computational physiology community and beyond
David Phillip Nickerson1, Martin Golebiewski2, Thomas E. Gorochowski3, Sarah M. Keating4, Matthias König5, Chris J. Myers6, Falk Schreiber7, Dagmar Waltemath8, Padraig Gleeson9
1Auckland Bioengineering Institute, University of Auckland, New Zealand; 2Heidelberg Institute for Theoretical Studies - HITS gGmbH, Heidelberg, Germany; 3School of Biological Sciences, University of Bristol, Bristol, UK; 4Advanced Research Computing Centre, University College London, UK; 5Faculty of Life Science, Institute for Biology, Institute for Theoretical Biology, Humboldt-University Berlin, Berlin, Germany; 6Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, USA; 7Department of Computer and Information Science, University of Konstanz, Konstanz, Germany; 8Medical Informatics Laboratory, University Medicine Greifswald, Germany; 9Department of Neuroscience, Physiology and Pharmacology, University College London, UK
1:15pm - 1:30pm 2.C: 2
BayModTS: A FAIR Bayesian workflow to process variable and sparse time series data
Sebastian Höpfl, Nicole Radde
University of Stuttgart, Germany
1:30pm - 1:45pm 2.C: 3
The reproducibility and credibility of biomedical models
Herbert Martin Sauro
University of Washington, United States of America
1:45pm - 2:00pm 2.C: 4
Reproducible digital twins for personalized liver function assessment
Matthias König
Humboldt University Berlin, Germany
2:00pm - 2:15pm 2.C: 5
The role of standards in defining an ecosystem for virtual human twins (VHTs)
Martin Golebiewski, Gerhard Mayer, Wolfgang Müller
Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
2:15pm - 2:30pm 2.C: 6
Model reuse - Lessons learned from 20 years of sharing CellML models
