Machine Learning‐Enabled Drug‐Induced Toxicity Prediction (Adv. Sci. 16/2025)

Machine Learning In article number 2413405, Yang Cao, Song He, Xiaochen Bo, and co-workers present the transformative role of artificial intelligence (AI) in drug toxicity prediction. AI models leverage the structural and multiomics features of drugs to predict toxicity while enhancing interpretability, bridging the gap between predictive accuracy and mechanistic understanding. It highlights AI's potential to revolutionize toxicological research and drug development, offering new avenues for safer, more effective therapies.