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 Enter fullscreen mode Exit fullscreen mode Why This Matters Epigenetic clocks (Horvath 2013, Hannum 2013) can measure your "biological age" from DNA methylation. But measuring aging is only step one — the real challenge is intervention : how do you steer molecular state back toward a younger profile?…