Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiment

no code implementations • 17 Sep 2023 • Anas El Fathi, Mohammadreza Ganji, Dimitri Boiroux, Henrik Bengtsson, Marc D. Breton

Compared to SoC, we show that this control strategy can achieve the same glucose targets faster (as soon as week 8) and safer (increased hypoglycemia protection and robustness to missing FBG measurements).

Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for People with Type 1 Diabetes: In-Silico Experiments

no code implementations • 17 Sep 2023 • Anas El Fathi, Marc D. Breton

\textit{In-silico} results showed that the proposed RL approach outperforms a baseline run-to-run approach and can replace the standard CC approach.

Reinforcement Learning (RL)