Everyone is building bigger AI models for biology. But here's a question nobody seems to be asking: Can you steer it? The Problem with Bigger Predictors The field of AI for biomedicine is exploding. Virtual cell models, drug-response predictors, biological foundation models — billions of dollars are flowing into systems that aim to model cells, drugs, disease progression, and human biology. But almost all of these systems share a critical limitation: they predict, but they cannot be steered. A biomedical world model should not merely forecast what may happen next. It should allow a clinician or researcher to ask: "What if we move in this direction instead?" And then provide a reliable, auditable answer. Introducing SEWO: Steerable Medicine World Model DeepoMe Limited has released a new preprint: "World Models for Biomedicine: A Steerability Framework" , introducing SEWO — a conceptual framework that proposes steerability as a foundational property for trustworthy biomedical AI.…