Wylogowanie z systemu EU Login spowoduje wylogowanie ze wszystkich innych serwisów korzystających z konta w systemie EU Login. The MELISSA project aims to provide a clinically validated, effective, trustworthy, and cost-efficient artificial intelligence AI -based digital diabetes management solution to support both health care providers HCPs and insulin-treated patients with diabetes PwD in their daily routine with personalised treatment and care recommendations.
More specifically, core element of the project is the daily insulin treatment adjustment to ensure glucose control using an already introduced self-learning approach based on reinforcement learning.
The approach is data-driven, real-time and of low computational cost and allows daily adjustment of the insulin infusion profile, on the basis of the fluctuations in the patient?
The approach takes into consideration patients treatment-related glucose, insulin, and carbohydrate intake and conceptual information and during the project will be further extended and optimized to include additional lifestyle and behavioural parameters. Furthermore, tools for assessing the risk of short- and long-term complications will assist HCPs in reaching better decisions on adjustments to the treatment schemes.
To meet the objectives the consortium brings together partners active in the fields of diabetes PwD and HCPs , diabetes technology, AI, behavioral sciences, ethics in AI, regulatory affairs, healthcare economics and clinical trials to further co-create, clinically develop, optimize, and clinically validate an AI-based solution for more effective and cost-efficient diabetes management through personalised treatment and care.
