
What does it actually take to make AI work inside a pharmaceutical company and why do so many efforts stall after the model is built? Pranay Mohanty, from J&J Innovative Medicine, joins us to talk about how building the model is only one part of the work and what can happen when you try to apply that model to messy, real-world data.We dig into how teams are starting to use digital twins to simulate patients and rethink trial design, what it looks like to work alongside regulators like the U.S. Food and Drug Administration, and why keeping a human in the loop isn’t optional. Along the way, we share how AI is actually shaping portfolio decisions today and where the limits still are.
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Episode 11: From the Gut to the Brain - Rethinking Parkinson's with AI

Episode 10: When AI Gets It Wrong, Patients Pay the Price

Episode 9: Mitochondria, Machine Learning, and a Few Hard Lessons

Episode 8: The Equity Gap in Diagnostic AI
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