New Cell Paper: World Models to Simulate Biomedical Interventions Before Running Them
marinkazitnik · x · 2026-09-18
ayushnoori announced the new paper "World models for biomedicine", published in Cell's special issue on AI in biology, co-led with njwfish.
The paper argues that simulating the consequences of an experiment before running it is the holy grail of AI for biology. In principle, biomedical world models could:
- simulate how biological systems respond to interventions never previously tested;
- search for interventions that drive cells, tissues, or patients toward desired states;
- plan experimental campaigns over long time horizons;
- power autonomous, closed-loop AI scientists.
Realizing this vision takes more than calling a model a "world model" — the paper examines what defines one and how it differs from related model classes.
Related event: Harvard Team Publishes Biomedical World Models Framework in Cell(8 posts)→
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