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
