Precision Medicine Treatment Response Predictor

Create an advanced machine learning framework using PyTorch to predict individual patient treatment responses. The system must: 1) Integrate multi-omics data (genomic, proteomic, metabolomic), 2) Implement sophisticated feature selection techniques, 3) Generate personalized treatment efficacy predictions, 4) Provide interpretable model explanations, and 5) Support continuous model refinement with new clinical data.