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Article

vToxiNet: a biologically constrained deep learning framework for interpretable prediction of drug-induced hepatotoxicity

2026-03-02

Abstract excerpt

<h4>ABSTRACT</h4> Hepatotoxicity remains a leading cause of drug attrition and post-marketing withdrawal, resulting from diverse and complex toxicity mechanisms. Traditional in vitro models can only capture a limited subset of toxicity pathways, and animal studies face translational and ethical limitations. Regulatory agencies have therefore promoted new approach methodologies, including human-relevant assays, o...

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Literature Corpus work
7c543e41-5edc-52cf-a335-802935c087f2
DOI
10.64898/2026.02.26.708259
Open publication

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vToxiNet: a biologically constrained deep learning framework for interpretable prediction of drug-induced hepatotoxicityDOI 10.64898/2026.02.26.708259
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