Ramesh Durvasula, Senior VP of R&D IT at Lilly, discusses AI's impact on drug targeting. AI predicts potential drugs, drives clinical trials as alternative healthcare, and enhances the work of researchers. Generative AI invents new drugs and evaluates chemists' solutions. AI analyzes scientific journals, provides deeper insights, and prompts experimentation for uncertain futures. Caution is advised in enterprise-level AI adoption.
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Quick takeaways
AI is helping pharmaceutical leaders like Lilly better predict potential drugs to invest in for bringing to market.
Generative AI suggests molecule ideas that chemists may be initially doubtful of, but turn out to be promising.
Deep dives
AI's Impact on Drug Targeting Process
AI is being used in the drug targeting process to understand the molecular basis of diseases and identify therapeutic agents. It helps in identifying biological targets and predicting new molecules that can address diseases.
Generative AI and Dreaming of New Molecules
Generative AI is being leveraged to dream of new molecules that may be effective against the molecular basis of diseases. AI algorithms suggest ideas that chemists may have been doubtful of initially, but have turned out to be promising.
Model-Driven Drug Discovery and Feedback Loop
Model-driven drug discovery involves multiple models working together, with generative AI suggesting molecule ideas and predictive models evaluating their quality. Chemsists provide feedback on the suggested ideas and decide which ones to further pursue in experiments.
Today’s guest is Ramesh Durvasula, Senior Vice President of R&D IT at Lilly. Ramesh joins us on the program today to discuss AI’s impact on the drug targeting process, particularly in helping pharmaceutical leaders like Lilly better predict what potential drugs to invest in for bringing to market and when. With increased certainty in drug targeting, Ramesh explains how AI capabilities are driving clinical trials to be used as an alternative form of healthcare. Visit emerj.com/beg1 to learn more about the practical steps for AI deployment for non-technical professionals.
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