The virtual assay software for human in silico drug trials to augment drug cardiac testing

Journal article

Prediction of drug effects on the heart still represents a challenge in drug development, given potential adverse outcomes. Computer modelling and simulations of the human heart offer a powerful technology to augment existing animal and clinical methodologies. Here we describe the translation process that led to the development and uptake of Virtual Assay, a user-friendly software to perform in silico drug trials in population of human cardiac models. Through this work, we contributed to the uptake of in silico modelling and simulations in industry and regulatory paradigms, and demonstrated accurate and mechanistic predictions of drug-induced cardiac pro-arrhythmic toxicity.

Authors: Passini, E; Zhou, X; Trovato, C; Britton, OJ; Bueno-Orovio, A

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Elsevier
• Journal: Journal of Computational Science
• Volume: 52
• Article number: 101202
• Publication date: 2020-08-21
• Acceptance date: 2020-08-13
• DOI: 10.1016/j.jocs.2020.101202
• ISSN: 1877-7503
• Language: English
• Keywords: human cardiac computer models; in silico drug trials; virtual assay; drug safety and efficacy testing; arrhythmia