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

The creation and application of data in biomedicine and healthcare often face privacy
constraints, bias, distributional shifts, underrepresentation of certain groups and data …

Abstract Background and Objective: Cardiac electrophysiology is a medical specialty with a
long and rich tradition of computational modeling. Nevertheless, no community standard for …

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 …

Since myocardial fibers drive the electric signal propagation throughout the myocardium,
accurately modeling their arrangement is essential for simulating heart electrophysiology …

Mathematical models of the human heart are evolving to become a cornerstone of precision
medicine and support clinical decision making by providing a powerful tool to understand …

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 …

Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …

Integrating spatial information about atrial physiology and anatomy in a single patient from
multimodal datasets, as well as generalizing these data across patients, requires a common …