Precision Oncology Treatment Recommendation Engine

Design an advanced treatment recommendation system for personalized cancer therapy using multi-modal data integration. The platform must combine genomic sequencing data, treatment history, clinical trial results, and real-time medical literature to generate evidence-based treatment recommendations. Implement machine learning techniques for treatment response prediction, including uncertainty quantification and explainable AI methodologies. Create a modular architecture supporting continuous learning and model refinement.