Mathematical Models and Artificial Intelligence for the Prevention of Type 2 Diabetes
Within the European project PRAESIIDIUM, research groups integrate mathematical models, biological simulations, and explainable AI to design innovative prevention strategies for type 2 diabetes (T2DM). In a dialogue with Prof. Fiorella Operto (Scuola di Robotica), this issue features the contributions of Alessia Paglialonga (CNR-IEIIT) on algorithm transparency and lifestyle modeling, Laura Azzimonti (SUPSI-IDSIA) on physics-informed ML and fast T2DM simulators, and Paolo Tieri (CNR-IAC) on synthetic data from integrated metabolism–immune models. Together, their work highlights how combining models, clinical data, and open science can deliver more personalized, interpretable, and trustworthy tools for chronic disease prevention.
Read now and see how the future of diabetes care is taking shape:
Italiano: https://www.scuoladirobotica.it/48330-2/
