The IHealthMD Project tackles one of the most urgent challenges in modern healthcare: transforming massive, complex electronic health record data into actionable knowledge. By developing scalable, privacy-preserving algorithms grounded in AI, advanced databases, and federated learning, the project aims to unlock clinically relevant insights from multimodal health data. The outcome will be a modular and extensible platform that empowers healthcare professionals with intelligent decision-support tools, strengthening clinical practice, enabling data-driven public health strategies, and maximizing the value of Big Data in healthcare.
[jan. 2026] Call for Postdoctoral Fellowship.