Sechenov University Develops AI System for Diabetes Management in Women
Young researchers at I. M. Sechenov First Moscow State Medical University are developing an AI system that analyzes blood glucose levels using not only continuous monitoring data but also the body's hormonal cycles. The EndoSync project has been selected as one of the finalists of the Sechenov Tech accelerator.
Most digital solutions in diabetology are built around an "average" patient model, even though female physiology can significantly affect glycemic dynamics. Women with type 1 diabetes experience changes in insulin requirements during different phases of the menstrual cycle, and these patterns are not always apparent through conventional data analysis.
The team also includes developers from Bauman Moscow State Technical University, MTUCI, and Saint Petersburg State University of Aerospace Instrumentation. A prototype has already been developed, and the team is conducting interviews with physicians to refine the system's use cases.
