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This document reviews the application of artificial intelligence (AI) and machine learning (ML) in the early detection of adverse drug reactions (ADRs) and drug-induced toxicity, which are significant challenges in drug discovery. It highlights how AI and ML can enhance the prediction of ADRs and toxicity, potentially leading to safer drugs and improved patient outcomes. The review also discusses various methodologies, databases, and modeling algorithms that can be utilized in this field, emphasizing the tr

Author

kassahun tadie

Language

EN