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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. · 0 citations

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