Whole-heart electromechanical simulations using latent neural ordinary differential equations

Add to your list(s) Download to your calendar using vCal

• Matteo Salvador (Stanford University)
• Monday 03 June 2024, 11:30-11:50
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact nobody.

FHTW02 - Fickle Heart: The intersection of UQ, AI and Digital Twins

Co-Authors: Marina Strocchi, Francesco Regazzoni, Christoph Augustin, Luca Dede’, Steven Niederer, Alfio Quarteroni. Cardiac digital twins provide a physics- and physiology-informed framework for predictive and personalized medicine. However, high-fidelity multi-scale and multi-physics cardiac models remain a barrier to adoption due to their high computational cost and the large number of model evaluations required for patient-specific personalization. Artificial intelligence-based methods can enable the creation of fast and accurate whole-heart digital twins. We use Latent Neural Ordinary Differential Equations (LNODEs) to learn the temporal pressure-volume dynamics of a heart failure patient. Our LNODE -based surrogate model is trained from 400 3D-0D whole-heart closed-loop electromechanical simulations, taking into account 43 model parameters describing cell-to-organ scale cardiac electromechanics and cardiovascular hemodynamics. The trained system of LNOD Es provides a compact and efficient representation of the 3D-0D model in a latent space using a feed-forward fully connected artificial neural network that retains 3 hidden layers with 13 neurons per layer, enabling faster than real-time numerical simulations of cardiac function on a single processor. This surrogate model is employed to perform global sensitivity analysis and robust parameter estimation with uncertainty quantification in time frames compatible with clinical practice, still using a single processor. This framework introduces several computational tools for digital twinning in computational cardiology.

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

This talk is not included in any other list

Note that ex-directory lists are not shown.