Personalized Healthcare Recommendation Engine

Design a machine learning recommendation system that generates personalized healthcare recommendations based on individual patient data, genetic information, and historical medical records. Implement a privacy-preserving federated learning approach that allows collaborative model training without exposing individual patient data. Create a secure, scalable microservices architecture that can process complex health datasets and generate actionable insights.