The D3PH project will develop edge computing technology to create advanced machine learning models that will predict and improve diabetes foot ulcer (DFU) risk prediction and wound healing prediction for senior citizens with diabetes in multiple long-term care clinics. While the goal is to pilot the technology for diabetes complications, success would enable availability of important technology for federated data sharing, and model development and deployment, that could be used for countless conditions, enabling efficient and affordable preventative health interventions. This will ensure advanced disease and health prediction models and improved health outcomes, decreased costs, and a decreased need for acute interventions throughout the medical system.