Bio-Behavioral Control, Glucose Variability, and Hypoglycemia-Associated Autonomic Failure in Type 1 Diabetes (T1DM). - Marc D. Breton; Leon S. Farhy; Jennifer K. Penberthy; Boris P. Kovatchev (EMBC, 2006)

Clinical Assessment and Mathematical Modeling of the Accuracy of Continuous Glucose Sensors (CGS). - Boris P. Kovatchev; Christopher Ryan King; Marc D. Breton; Stacey M. Anderson; William Clarke (EMBC, 2006)

Systematic method to assess microvascular recruitment using contrast-enhanced ultrasound. Application to insulin-induced capillary recruitment in subjects with T1DM. - Alice Chan; Boris P. Kovatchev; Stacey M. Anderson; Marc D. Breton (Comput. Methods Programs Biomed., 2011)

Anticipating the next meal using meal behavioral profiles: A hybrid model-based stochastic predictive control algorithm for T1DM. - C. S. Hughes; Stephen D. Patek; Marc D. Breton; Boris P. Kovatchev (Comput. Methods Programs Biomed., 2011)

Modular Closed-Loop Control of Diabetes. - Stephen D. Patek; Lalo Magni; Eyal Dassau; Christopher W. Karvetski; Chiara Toffanin; Giuseppe De Nicolao; Simone Del Favero; Marc D. Breton; Chiara Dalla Man; Elisabeth Renard; Howard C. Zisser; Francis J. Doyle III; et al. (IEEE Trans. Biomed. Eng., 2012)

Mealtime correction insulin advisor for CGM-informed insulin pen therapy. - Paul Vereshchetin; Marc D. Breton; Stephen D. Patek (ACC, 2013)

Historical data enhances safety supervision system performance in T1DM insulin therapy risk management. - Colleen Hughes-Karvetski; Stephen D. Patek; Marc D. Breton; Boris P. Kovatchev (Comput. Methods Programs Biomed., 2013)

Black-box Model Identification of Physical Activity in Type-l Diabetes Patients. - Simone Faccioli; Basak Ozaslan; Jose F. Garcia-Tirado; Marc D. Breton; Simone Del Favero (EMBC, 2018)

Ensemble Model Predictive Control Strategies Can Reduce Exercise Hypoglycemia in Type 1 Diabetes: In Silico Studies. - Jose F. Garcia-Tirado; Patricio Colmegna; John Corbett; Basak Ozaslan; Marc D. Breton (ACC, 2019)

A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors. - Josephine Lamp; Simone Silvetti; Marc D. Breton; Laura Nenzi; Lu Feng 001 (CMSB, 2019)

Continuous Glucose Monitors and Activity Trackers to Inform Insulin Dosing in Type 1 Diabetes: The University of Virginia Contribution. - Chiara Fabris; Basak Ozaslan; Marc D. Breton (Sensors, 2019)

Conformance verification for neural network models of glucose-insulin dynamics. - Taisa Kushner; Sriram Sankaranarayanan 001; Marc D. Breton (HSCC, 2020)

Automatically accounting for physical activity in insulin dosing for type 1 diabetes. - Basak Ozaslan; Stephen D. Patek; Chiara Fabris; Marc D. Breton (Comput. Methods Programs Biomed., 2020)

Modeling the variability of insulin sensitivity during the menstrual cycle in women with type 1 diabetes to adjust open-loop insulin therapy. - Jenny L. Diaz C.; Eda Cengiz; Marc D. Breton; Chiara Fabris (EMBC, 2021)

Automated Adaptation of Insulin Treatment in Type 1 Diabetes. - Chiara Fabris; Thibault Gautier; Marc D. Breton (EMBC, 2021)

Advanced hybrid artificial pancreas system improves on unannounced meal response - In silico comparison to currently available system. - Jose F. Garcia-Tirado; Dayu Lv; John Corbett; Patricio Colmegna; Marc D. Breton (Comput. Methods Programs Biomed., 2021)

Enabling Anticipatory Response in Multi-Stage MPC Formulation for Fully Automated Artificial Pancreas System. - Patricio Colmegna; Jenny L. Diaz C.; Jose F. Garcia-Tirado; Marc D. Breton (CDC, 2022)

Model Personalization in an Advanced Automated Insulin Delivery System: An In-Silico Exploration. - María F. Villa-Tamayo; Jenny L. Diaz C.; Marcela Moscoso-Vasquez; Alberto Castillo 003; Jose F. Garcia-Tirado; Patricio Colmegna; Marc D. Breton (ICSC, 2022)

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)

Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study. - Patricio Colmegna; Alessandro Bisio; Ryan McFadden; Christian Wakeman; Mary Clancy Oliveri; Ralf Nass; Marc D. Breton (IEEE J. Biomed. Health Informatics, 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)