Building a Biomedical World Model in Python: SteeraMed Core
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AI Hardware
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Reinforcement Learning
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.