The research group targets the development of new tools and algorithms to further develop future precision therapies for people with diabetes and related metabolic disorders. To achieve this, methods of control systems engineering, mathematical modelling and computer science are combined. Whereby two goals are pursued:
- To advance the development, testing and deployment of the next generation fully automated insulin delivery system (fAID, also known as artificial pancreas) for insulin-dependent diabetes with and without adjuvant therapies.
- The development, testing and deployment of decision support systems (DSS) for people on either multiple daily injections (MDI) or sensor-augmented pumps (SAP) with and without non-insulin blood glucose-lowering agents.
Research focus 1:
Maximal (simulation) model of Glucose Homeostasis – individual and population levels.
- Type 1 Diabetes
- Prediabetes and Type 2 Diabetes
Research focus 2:
Fully Automated Insulin Delivery (fAID) for insulin-dependent diabetes
- Personalized Control System Design (Model Predictive Control)
- Cloud computing for model updating (day-to-day variations) and artificial intelligence-based pattern recognition
- Informed combination of SGLT2i and fAID systems