@logannnn

AI in drug development is substantially shortening timelines. Traditionally, discovering and developing a new drug takes 10-15 years, but AI accelerates key stages like target identification, molecule design, and preclinical testing by up to 70%. For instance, generative AI platforms like those from Insilico Medicine have delivered candidates in 18 months versus 4-6 years, while Exscientia cuts early design cycles by 70% with 80% less capital. Overall, AI can reduce R&D timelines by 50%, slashing costs by 40-50% and boosting success rates through predictive modeling and data integration. This enables faster delivery of therapies to patients.https://www.drugpatentwatch.com/blog/the-predictive-pipeline-structuring-drug-development-timelines-with-ai-driven-patent-intelligence/ https://prajnaaiwisdom.medium.com/how-generative-ai-is-reducing-drug-discovery-timelines-by-70-e86d58f7c780 https://www.nature.com/articles/d41586-023-03172-6

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