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IEEE Transactions on Cybernetics|May 5, 2025
Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and Its Application to Type-1 DiabetesAlberto Castillo, Elliot Pryor, Anas El Fathi, et al.Computers in Biology and Medicine|January 21, 2025
Distribution-based sub-population selection (DSPS): A method for in-silico reproduction of clinical trials outcomesMohammadreza Ganji, Anas El Fathi, Chiara Fabris, et al.Journal of Diabetes Science and Technology|February 20, 2010
The accuracy of a new real-time continuous glucose monitoring algorithm: an analysisBoris Kovatchev, Marc BretonJournal of Diabetes Science and Technology|September 15, 2009
Analysis, modeling, and simulation of the accuracy of continuous glucose sensorsMarc Breton, Boris KovatchevMethods in Enzymology|February 17, 2009
Analytical methods for the retrieval and interpretation of continuous glucose monitoring data in diabetesBoris Kovatchev, Marc Breton, William ClarkeFrontiers in Psychiatry|February 21, 2012
In silico Models of Alcohol Dependence and TreatmentBoris Kovatchev, Marc Breton, Bankole JohnsonJournal of Diabetes Science and Technology|July 17, 2009
A model of self-treatment behavior, glucose variability, and hypoglycemia-associated autonomic failure in type 1 diabetesMarc Breton, William L Clarke, Leon Farhy, et al.Journal of Diabetes Science and Technology|February 11, 2010
Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: the Virginia experienceWilliam L Clarke, Stacey Anderson, Marc Breton, et al.Journal of Diabetes Science and Technology|May 31, 2014
The UVA/PADOVA Type 1 Diabetes Simulator: New FeaturesChiara Dalla Man, Francesco Micheletto, Dayu Lv, et al.Journal of Diabetes Science and Technology|January 10, 2012
Novel methodology to determine the accuracy of the OmniPod insulin pump: a key component of the artificial pancreas systemHoward Zisser, Marc Breton, Eyal Dassau, et al.Pageof 23