An Unannounced Meal Detection Module for Artificial Pancreas Control Systems. - Anas El Fathi; Emilie Palisaitis; Benoit Boulet; Laurent Legault; Ahmad Haidar (ACC, 2019)

Long-term use of the hybrid artificial pancreas by adjusting carbohydrate ratios and programmed basal rate: A reinforcement learning approach. - Adnan Jafar; Anas El Fathi; Ahmad Haidar (Comput. Methods Programs Biomed., 2021)

A Model-Based Insulin Dose Optimization Algorithm for People With Type 1 Diabetes on Multiple Daily Injections Therapy. - Anas El Fathi; Robert E. Kearney; Emilie Palisaitis; Benoit Boulet; Ahmad Haidar (IEEE Trans. Biomed. Eng., 2021)

Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiments *. - Anas El Fathi; Mohammadreza Ganji; Dimitri Boiroux; Henrik Bengtsson; Marc D. Breton (CCTA, 2023)

Using Reinforcement Learning to Simplify Mealtime Insulin Dosing for People with Type 1 Diabetes: In-Silico Experiments. - Anas El Fathi; Marc D. Breton (CoRR, 2023)

Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiment. - Anas El Fathi; Mohammadreza Ganji; Dimitri Boiroux; Henrik Bengtsson; Marc D. Breton (CoRR, 2023)

Attention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes. - Anas El Fathi; Elliott Pryor; Marc D. Breton (CoRR, 2024)

Distribution-based sub-population selection (DSPS): A method for in-silico reproduction of clinical trials outcomes. - Mohammadreza Ganji; Anas El Fathi; Chiara Fabris; Dayu Lv; Boris P. Kovatchev; Marc D. Breton (Comput. Biol. Medicine, 2025)

Neural Networks for on-chip Model Predictive Control: a Method to Build Optimized Training Datasets and its application to Type-1 Diabetes. - Alberto Castillo 003; Elliott Pryor; Anas El Fathi; Boris P. Kovatchev; Marc D. Breton (CoRR, 2025)

A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction. - Meryem Altin Karagöz; Marc D. Breton; Anas El Fathi (CoRR, 2025)

Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and its Application to Type-1 Diabetes. - Alberto Castillo 002; Elliott Pryor; Anas El Fathi; Boris P. Kovatchev; Marc D. Breton (IEEE Trans. Cybern., 2025)