What if you could ask: "Which compound is most likely to reverse this specific patient's molecular aging?" — and get a 4-layer auditable evidence chain, not a black-box recommendation?

That's what SteeraMed Core does. It's an open-source Python package that applies the "world model" concept from reinforcement learning to biomedicine: quantify how an individual's biology deviates from normal, then simulate which compounds can steer it back.

No PyTorch. No TensorFlow. No GPU. Just numpy , pandas , scipy , and matplotlib .

pip install steeramed-core

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Why This Matters

Epigenetic clocks (Horvath 2013, Hannum 2013) can measure your "biological age" from DNA methylation.…