2024 Cardiac Physiome Workshop

The next Cardiac Physiome Workshop will be held in Freiburg, Germany, from 12 to 14 September 2024, organized by Drs. Viviane Timmermann, Axel Loewe, and Peter Kohl.

The deadline for abstracts to be considered for oral presentations is May 31st, 2024,
and the final deadline for abstract submission/revisions is August 1st, 2024.

Find more information on the meeting website.


Confirmed Speakers

Denis Noble (Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, United Kingdom):
The history of cardiac computational modelling of electrophysiology from relaxation oscillators, to Hodgkin-Huxley, Markov, big data and AI: are we nearly there yet? 

Eva Rog-Zielinska (IEKM, University Medical Center Freiburg, Freiburg, Germany):
3D time-resolved electron microscopy: a contradiction in terms?

Jan Lebert (Cardiac Vision Laboratory, University California San Francisco, USA):
Mapping cardiac electrics and mechanics at high spatio-temporal resolution: AI to the rescue?

Sandy Engelhardt (Artificial Intelligence in Cardiovascular Medicine, University Hospital Heidelberg, Heidelberg, Germany):
Cardiac macroscopy: how to see the wood for all the trees

Michael Gotthardt (Translational Cardiology and Functional Genomics, Max Delbrück Center, Berlin, Germany):
From alternative splicing to Frank-Starling: can cardiac mechanics be quantitatively conceptualised bottom-up? 

Andrew Taberner (Auckland Bioengineering Institute, Bioengineering Institute, New Zealand):
Optimised wet-lab instrumentation for dry-lab research into cardiac structure and function: how to engineer the bi-directional cross-talk between the analogue world and its digital representation

Daniel Hook (CEO at Digital Science, Centre for Science and Policy, University of Cambridge, Cambridge, United Kingdom):
Research data management at the interface between the analogue world and its digital representation 

Natalia Trayanova (Department of Biomedical Engineering, Johns Hopkins Medicine, Baltimore, MD, USA):
Clinical translation of cardiac modeling and image analysis: modelling to the rescue!

Blanca Rodriguez (Department of Computer Science, University of Oxford, Oxford, United Kingdom):
Modelling drug effects on cardiac function for personalised medicine: hope or hype… 

Igor Efimov (Cardiovascular Engineering Laboratory, Northwestern University, USA):
Real-time arrhythmia detection and termination using ML-based approaches

Supported by:

Platinum Supporter:

DFG - German Research Foundation

Gold Supporter:

Bronze Supporter: