Mathematical models are routinely calibrated to experimental data, with goals ranging from
building predictive models to quantifying parameters that cannot be measured. Whether or …

Cardiac electrophysiology models are among the most mature and well‐studied
mathematical models of biological systems. This maturity is bringing new challenges as …

Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …

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

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 …

A long-standing problem at the frontier of biomechanical studies is to develop fast methods
capable of estimating material properties from clinical data. In this paper, we have studied …

Systems Toxicology aims to change the basis of how adverse biological effects of
xenobiotics are characterized from empirical end points to describing modes of action as …

MC Dropout is a mainstream" free lunch" method in medical imaging for approximate
Bayesian computations (ABC). Its appeal is to solve out-of-the-box the daunting task of ABC …

The Comprehensive in vitro Proarrhythmia Assay (CiPA) is a global initiative intended to
improve drug proarrhythmia risk assessment using a new paradigm of mechanistic assays …

Medical imaging (image acquisition, image transformation, and image visualization) is a
standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students …