Google DeepMind model adapts to lab experiments without retraining
Adapting to a new experimental context from a few dozen cells changes the cost calculus for labs that previously needed large datasets or custom training to study cell-specific DNA effects. Experimental biologists working on immunology, inflammatory disease or blood development are the direct audience, since those are the use cases DeepMind named. Developers of computational biology pipelines should compare this against bespoke variant-effect models built per experiment.
