Opening
summary
Argues AI is shifting from descriptive foundation models to agentic world models that propose and prioritize the next experiment, close the loop by validating data, and update the model; describes a working pipeline that designs peptides for antimicrobials and a multi-scale simulator called the virtual human linking molecular states to patient trajectories; reports a Google.org–funded project called Risk Queue that predicts risk years ahead for early intervention, and cites an active Bavarian ecosystem and a 700‑person applied AI conference as supporting infrastructure.
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chapters (9)
- 0:00Goethe’s Erlking metaphor
- 1:27AI in healthcare today
- 3:13DLD’s health-tech legacy
- 6:45Public AI-health debate needed
- 8:30AI’s responsibility and trust
- 9:53AI-health interdisciplinary breakthroughs
- 11:18Acknowledgments
- 13:09First impulse: Fabian Theis
- 14:11From observation to action in medicine
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