
AI in drug discovery has been long on promise and short on delivery. Matt Truppo, Global Head of Research Platforms and Computational R&D at Sanofi, presents a different picture. His team used AI to identify 10+ novel drug targets in 12 months, screen 30 million target combinations in days, and produce AI-designed compounds with 75% synthesizability. But Truppo is equally candid about the gaps: data integration, explainability, and change management remain real barriers. In Part 1 of this two-part conversation, hosts Steve Labkoff and Leon Rozenblit explore what happens when AI moves past pilot projects into core pharmaceutical science.
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S1, E37 - Danny van Leeuwen, MPH, RN, Health Hats: Patient's POV on AI Tools

S1, E36 - David Hidalgo-Gato, Founder & CEO, Cleo Health: Going a Mile Deep on Emergency Medicine — Specialization, Design Partnerships, and the Acute Care OS

S1, E35 - Barry P. Chaiken, MD, MPH: Physician-as-Patient Perspective on AI in Healthcare

S1, E34 - Matt Truppo, PhD, Part 2: AI-Driven Drug Development at Sanofi: Clinical Trials, Regulatory, and Personal AI
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