The Mission of the Cardiac Physiome Society is to promote integrative multi-scale simulation and analysis of cardiac physiology in health and disease, spanning the full breadth of cardiac functions and all scales of biological organization from molecule to patient. The Society aims to encourage and facilitate international collaboration, cooperation, sharing, exchange, and interoperability in basic, translational and clinical research data, models and technology development by various means including the organization of an annual Cardiac Physiome Workshop.
Membership is determined by participation in the Cardiac Physiome Workshops.
The 2023 Cardiac Physiome Workshop was held April 24–26, 2023, at Edwards Lifesciences, Irvine CA, USA. The main workshop page is here.
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 and held in conjunction with the final workshop of the MICROCARD project.
Please note that September 2024 will be a hot-spot of computational biology in South-West Germany, with three sequential conferences within a 60-kilometer-radius:
- Virtual Physiological Human Conference (VPH; 4–6 Sept, Stuttgart)
- Computing in Cardiology (CinC; 8–11 Sept, Karlsruhe)
- Cardiac Physiome (12–14 Sept, Freiburg).
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.
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 Version 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