Personalized Medicine Treatment Response Predictor

Develop a machine learning framework for predicting individual patient treatment responses using multi-modal data integration. Create a Python pipeline that combines genomic data, clinical history, and real-time physiological markers to generate personalized treatment efficacy predictions. Implement advanced ensemble methods and uncertainty quantification to provide clinically interpretable recommendations.