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What if the most valuable drug candidates aren’t found but designed on demand? We follow a chemist’s journey from a pencil-and-paper notebook to generative algorithms that propose novel, IP-free molecules tailored to specific targets, and we open the door to how Swiss pharma is rebuilding discovery around AI.
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Journalist: Jessica Davis Plüss
Host: Jo Fahy
Audio editor/video journalist: Michele Andina
Distribution and Marketing: Xin Zhang
SWI swissinfo.ch is a public service media company based in Bern, Switzerland.
Chapters
1. Big Pharma steps up race for AI-discovered drugs (00:00:00)
2. Setting The Stakes For AI In Pharma (00:00:33)
3. A Medicinal Chemist Meets Machine Learning (00:01:43)
4. From Lab Notebooks To Generative Models (00:03:17)
5. Investment Boom And Big Pharma’s Pivot (00:04:38)
6. The Third Wave Of AI Explained (00:06:12)
7. AlphaFold And Data Scale Breakthroughs (00:07:15)
8. Generative Design Replaces Screening (00:08:26)
9. Early Wins: Speed And Cost Savings (00:09:34)
10. Biology’s Uncertainty And Trial Failures (00:11:26)
11. Limits, Regulators, And What Comes Next (00:12:40)
12. Credits And Next Episode Tease (00:15:08)
104 episodes