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Article

Can In Silico Models Predict Drug-Induced Cardiac Risk in Vulnerable Populations?

2025-09-24

Abstract excerpt

This study evaluates virtual cardiac populations for preclinical assessment of drug-induced QT interval prolongation and arrhythmic risk. Traditional predictions often rely on small, healthy cohorts, excluding vulnerable populations. Using computational models of realistic heart anatomies and electrophysiology, we generated a virtual cohort of 512 subjects across healthy and diseased hearts (heart failure, dilated...

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Identifiers and source

Literature Corpus work
76278621-6e0c-5cc5-b337-29d16947ad9d
DOI
10.1101/2025.09.22.677793
Open publication

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Can In Silico Models Predict Drug-Induced Cardiac Risk in Vulnerable Populations?DOI 10.1101/2025.09.22.677793
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