Proof of Concept - AI in Drug Discovery

In this episode of Proof of Concept, Krishna Bulusu joins us for an honest, industry-wide look at what AI and simulation can and can't do. Having spent years in oncology data science at AstraZeneca before becoming VP of Product Innovation & Strategy at Turbine, he's seen the problem from both sides — as the big-pharma adopter deciding whether to trust these tools, and as the builder creating them. We cover how simulation is used to find and de-risk drug targets, why some AI tools get adopted while others stall, the translational gap between lab results and real patients, and the honest question of where the field is overhyped — and what would count as real proof.