Abstract Machine learning is increasingly recognized as a promising technology in the
biological, biomedical, and behavioral sciences. There can be no argument that this …

Human-based computational modelling and simulation are powerful tools to accelerate the
mechanistic understanding of cardiac patho-physiology, and to develop and evaluate …

We propose a mathematical and numerical model for the simulation of the heart function that
couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and …

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 …

We propose a machine learning-based method to build a system of differential equations
that approximates the dynamics of 3D electromechanical models for the human heart …

Two crucial factors for accurate numerical simulations of cardiac electromechanics, which
are also essential to reproduce the synchronous activity of the heart, are:(i) accounting for …

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 …

Cine magnetic resonance imaging (MRI) is the current gold standard for the assessment of
cardiac anatomy and function. However, it typically only acquires a set of two-dimensional …

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 …

We developed a novel patient-specific computational model for the numerical simulation of
ventricular electromechanics in patients with ischemic cardiomyopathy (ICM). This model …