This project showcases how AI-driven anomaly detection in chronic disease prevention can weave together diverse digital health data sources—such as EHRs, wearable devices, and lifestyle data. Through cross-disciplinary partnerships, the project connects healthcare professionals, data scientists, and behavioural experts to create a personalized health monitoring system. This collaboration aims to enhance preventive care, empowering individuals and healthcare providers to act early, improving health outcomes while reducing the burden of chronic diseases.