INI Fickle Heart Workshop 2024
The intersection of UQ, AI and Digital Twins
The conference:
An unprecedented amount of patient data is now available from the clinic and the internet of things. Complex computer models have been developed that capture multiscale cardiac physiology in both animal experiments and in human patients. Machine learning methods for combining these models and data have now enabled the development of cardiac digital twins that can track patients through time, and forecast their disease progression and therapy outcomes.
Cardiac digital twins bring together physics and physiology-based modelling; uncertainty quantification tools for calibration and forecasting; methods for simulation acceleration; model analysis;Â and data forecasts from AI/ML, statistics, and applied mathematics. This Newton Institute Fickle Heart Workshop will build on the 2019 program that focused on uncertainty quantification (UQ), to explore how UQ is being enabled by methodological advances in AI/ML, and how these techniques are being applied in digital twin applications.
I had the pleasure to be able to go to the follow-up meeting of The Fickle Heart Workshop in Cambridge. Five years ago I was present at the previous meeting as well, and now it was time for an update of the field. I was the full two days there and had many fruitful discussions with interesting scientists from all over the world about digital twins, artificial intelligence, and uncertainty quantification. Underneath you are able to find the group photo we took on the second day of the Workshop.
And another one where everyone waved at the camera woman :)
