Closing the data loop in AI-driven drug discovery
MIT Technology Review
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AI is transforming drug discovery by enabling predictive design of drug candidates, reducing reliance on physical screening, and potentially lowering costs and timelines. However, AI-generated compounds still require laboratory validation due to current limitations in predicting kinetics and developability.
