In this manuscript we review the state of cardiac cell modelling in the context of international
initiatives such as the IUPS Physiome and Virtual Physiological Human Projects, which aim …

Predicting information about human physiology and pathophysiology from genomic data is a
compelling, but unfulfilled goal of post-genomic biology. This is the aim of the so-called …

Computational modeling of cardiac cellular electrophysiology has a long history, and many
models are now available for different species, cell types, and experimental preparations …

The traditional cardiac model-building paradigm involves constructing a composite model
using data collected from many cells. Equations are derived for each relevant cellular …

Chaste is an open-source C++ library for computational biology that has well-developed
cardiac electrophysiology tissue simulation support. In this paper, we introduce the features …

Effective reuse of a quantitative mathematical model requires not just access to curated
versions of the model equations, but also an understanding of the functional capabilities of …

Scientific endeavour is reliant upon the extension and reuse of previous knowledge. The
formalization of this process for computational modelling is facilitated by the use of accepted …

Physiological variability manifests itself via differences in physiological function between
individuals of the same species, and has crucial implications in disease progression and …

Computational techniques have significantly advanced our understanding of cardiac
electrophysiology, yet they have predominantly concentrated on averaged models that do …

Computational modeling has contributed significantly to present understanding of cardiac
electrophysiology including cardiac conduction, excitation-contraction coupling, and the …