Review
Sep 2026
Artificial intelligence in toxicology: current advances, challenges and future directions.
This review critically evaluates the evidence base for AI-based toxicity prediction, assesses current challenges and considers the trajectory toward next-generation risk assessment, which requires adherence to the TREAT validation principles and sustained regulatory engagement.
Kamil Kuča, Siddhi Otari, Namrata Singh et al.
· Archives of Toxicology · 0 citations