Minal Zaka

Artificial Intelligence and machine learning in toxicogenomics for drug safety assessment: a critical review.

INTRODUCTION Predicting drug-induced toxicity remains one of the principal bottlenecks in drug development: in vivo and in vitro assays are resource-intensive, and their concordance with human-specific toxicity is often limited. Toxicogenomics addresses this gap by linking chemical exposure to gene-expression and pathw...