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This article discusses the potential use of artificial intelligence (AI) and machine learning (ML) in the drug development process. It highlights the challenges and complexities involved in this process and how AI and ML can be utilized to improve success rates. The article also mentions the historical use of computational approaches in drug discovery and the current applications of AI in clinical trial design and patient enrollment.
