Two hundred years of biomedicine ran on induction: collect data, find patterns, explain. AI is usually deployed to make that loop faster. We are trying the other direction — deduce from first principles, then let data refute it: https://steerable.world
SteeraMed Bench: 332 module axes, 1,916 DrugBank small molecules, 5 disease tasks, 23 ATC-derived categories. Versioned snapshots, published failure modes, open nominations: steeramed.com/en/bench/
Why modules: one gene is too small a unit to steer a body, a whole transcriptome too large to act on. Our atlas has 332 axes — 117 nutrient targets, 105 food-medicine compounds, 72 extended aging hallmarks, 38 syndrome proxies from Chinese medicine.
Most AI-for-biology work asks what will happen. We ask a narrower question: which knob, turned how far, moves a person — and what measurement would show it. Prediction without a handle is not yet medicine.
New blog: notes on steerable biology — what can actually be changed in a human body, and how we would know it moved. Method notes, failure boundaries, and open problems from building SteeraMed Bench: steeramed.com/en/bench/