AI-Driven Integration of Transcriptomics, Quantum Mechanics, and Physiology for Predicting Drug-Induced Liver Injury in Data-Limited Scenarios.

Roshan Bhave¹, Babatunde Bello¹, Divesh Bhatt¹, Joseph Machulcz¹, Jacqueline A R Shea¹, Maksim Khotimchenko¹, Weida Tong², Szczepan W Baran¹, Jyotika Varshney¹

¹Verisim Life Inc, 1 Sansome Street, Suite 3500, San Francisco, California 94104, United States.

²National Center for Toxicological Research, Food and Drug Administration, Jefferson, Arkansas 72079, United States.

PubMed DOI

Abstract

Drug-induced liver injury (DILI) is a significant concern with prescription medications and supplements. Accordingly, it is crucial to develop tools and approaches that can predict DILI likelihood of existing medications and supplements, as well as potential drug candidates under development. The complexity of liver injury mechanisms and the limited availability of DILI data hamper the development…

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