AI in Drug Discovery: From Years to Months

What if drug discovery could be compressed from decades to just months? In this episode, we explore how AI is transforming one of the toughest frontiers in science—developing safe, effective medicines. From AlphaFold 3’s molecular interaction predictions to generative design loops, high-throughput automation, and digital twin trials, the landscape is changing fast.Key Topics We Cover:✅ Why drug discovery has been so costly and slow—and how AI can break Eroom’s Law✅ The real-world proof points: AI-designed drugs reaching clinical trials✅ How companies like Isomorphic Labs, Insilico, Recursion, and Atomwise are leading the charge✅ The regulatory and safety guardrails needed for trustworthy acceleration✅ A practical 30–60 day action plan for pharma leaders and innovators🎙️ Whether you’re a biotech founder, pharma leader, investor, or simply curious about the future of medicine, this episode breaks down the hope, hype, and hard evidence shaping the next generation of drug discovery.📢 Can AI safely shrink drug development timelines from years to months? Vote in our poll below! 👇

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