The treatment of individual patients in cardiology practice increasingly relies on advanced
imaging, genetic screening and devices. As the amount of imaging and other diagnostic …

The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …

Abstract Cardiac digital twins (Cardiac Digital Twin (CDT) s) of human electrophysiology
(Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that …

Cardiac pump function arises from a series of highly orchestrated events across multiple
scales. Computational electromechanics can encode these events in physics-constrained …

We present a parametric physics-informed neural network for the simulation of personalised
left-ventricular biomechanics. The neural network is constrained to the biophysical problem …

Mechanistic cardiac electrophysiology models allow for personalized simulations of the
electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface …

Cardiac anatomy plays a crucial role in determining cardiac function. However, there is a
poor understanding of how specific and localised anatomical changes affect different …

The pericardium affects cardiac motion by limiting epicardial displacement normal to the
surface. In computational studies, it is important for the model to replicate realistic motion, as …

Data-driven approaches to modeling physical systems fail to generalize to unseen systems
that share the same general dynamics with the learning domain, but correspond to different …

Predicting the electrical behavior of the heart, from the cellular scale to the tissue level, relies
on the numerical approximation of coupled nonlinear dynamical systems. These systems …