Work

Reducing exercise-related hypoglycemia in automated insulin delivery with reinforcement learning

Year: 2025

Type: article

Abstract: Exercise is an important component for glucose management in type 1 diabetes, but remains challenging for automated insulin delivery systems as altered glucose dynamics are difficult to model explicitly. Glucose monitoring data might enable data-driven approaches for learning these dynamics implicitly. We propose combining model predictive control with a reinforcement learning component to adjust basal insulin infusion rates for exercise. We train our model on a variety of exercise scenarios and demonstrate improved glucose control using two different frameworks. We evaluate how generalizable both frameworks are by personalizing a trained model with a small number of additional individual-specific training episodes.

Source: IFAC Journal of Systems and Control

DOI: 10.1016/j.ifacsc.2025.100337

Authors: Dana Zimmermann, Hans-Michael Kaltenbach

Institutions: SIB Swiss Institute of Bioinformatics, ETH Zurich

Language: English

Topic: Diabetes Management and Research

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $2,890