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Diabetes Technology & Therapeutics|August 13, 2025
The Virtual DCCT #3: Relationship of HbA1c and CGM Metrics with Cardiovascular OutcomesWilliam B Horton, Boris P Kovatchev, Lauren G Kanapka, et al.
Journal of Diabetes Science and Technology|October 6, 2010
Hypoglycemia prevention via pump attenuation and red-yellow-green "traffic" lights using continuous glucose monitoring and insulin pump dataColleen S Hughes, Stephen D Patek, Marc D Breton, et al.
Computer Methods and Programs in Biomedicine|February 21, 2012
Historical data enhances safety supervision system performance in T1DM insulin therapy risk managementColleen Hughes-Karvetski, Stephen D Patek, Marc D Breton, et al.
Diabetes Care|March 17, 2007
Prediction of severe hypoglycemiaDaniel J Cox, Linda Gonder-Frederick, Lee Ritterband, et al.
Journal of Diabetes Science and Technology|July 29, 2010
Nonlinear metabolic effect of insulin across the blood glucose range in patients with type 1 diabetes mellitusAlice Chan, Lutz Heinemann, Stacey M Anderson, et al.
Diabetes Technology & Therapeutics|November 18, 2006
A novel analytical method for assessing glucose variability: using CGMS in type 1 diabetes mellitusAnthony L McCall, Daniel J Cox, John Crean, et al.
Diabetes/Metabolism Research and Reviews|October 25, 2002
The metabolic demands of driving for drivers with type 1 diabetes mellitusDaniel J Cox, Linda A Gonder-Frederick, Boris P Kovatchev, et al.
Diabetes Technology & Therapeutics|February 19, 2020
A Review of Continuous Glucose Monitoring-Based Composite Metrics for Glycemic ControlMichelle Nguyen, Julia Han, Elias K Spanakis, et al.
Diabetes Technology & Therapeutics|November 25, 2003
Algorithmic evaluation of metabolic control and risk of severe hypoglycemia in type 1 and type 2 diabetes using self-monitoring blood glucose dataBoris P Kovatchev, Daniel J Cox, Anand Kumar, et al.
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