AI has the potential to reverse Eroom’s law for pharma R&D efficiency, but how can we unlock its promise? In this session, Pranava Goundan will discuss the opportunities and challenges for AI in R&D and present use cases and case studies across the drug discovery, clinical development and evidence generation processes where AI has been validated and scaled. Through these scenarios, we’ll reflect on key learnings to deliver positive patient impact through AI in pharma R&D.
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