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David M Nathan

Showing results (41-50 of 245) with videos related to

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Diabetes Technology & Therapeutics|April 15, 2011
Using a multi-level B-spline model to analyze and compare patient glucose profiles based on continuous monitoring dataHui Zheng, David M Nathan, David A Schoenfeld
Science Translational Medicine|October 7, 2016
Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoringRoy Malka, David M Nathan, John M Higgins
Diabetes Care|December 24, 2004
Biological variation in HbA1c predicts risk of retinopathy and nephropathy in type 1 diabetes: response to McCarter et alSaul Genuth, John M Lachin, David M Nathan
The Journal of Clinical Endocrinology and Metabolism|January 26, 2006
Insulin sensitivity during combined androgen blockade for prostate cancerMatthew R Smith, Hang Lee, David M Nathan
The New England Journal of Medicine|July 13, 2017
Frequency of Evidence-Based Screening for Diabetic RetinopathyDavid M Nathan, Ionut Bebu, John M Lachin
Diabetes Care|August 12, 2021
The Beneficial Effects of Earlier Versus Later Implementation of Intensive Therapy in Type 1 DiabetesJohn M Lachin, Ionut Bebu, David M Nathan, et al.
Diabetes Research and Clinical Practice|April 21, 2018
Estimating HbA1c from timed Self-Monitored Blood Glucose valuesWuQiang Fan, Hui Zheng, Nancy Wei, et al.
Clinical Chemistry|December 4, 2010
Gaps in the glycation gap hypothesisDavid B Sacks, David M Nathan, John M Lachin
Journal of the American Dietetic Association|May 2, 2006
Psychological predictors of physical activity in the diabetes prevention programLinda M Delahanty, Molly B Conroy, David M Nathan, et al.
Diabetes Care|December 21, 2013
Update on cardiovascular outcomes at 30 years of the diabetes control and complications trial/epidemiology of diabetes interventions and complications studyJohn M Lachin, Trevor J Orchard, David M Nathan, et al.
Pageof 25

Showing results (41-50 of 245) with videos related to

Sort By:
Pageof 25
Diabetes Technology & Therapeutics|April 15, 2011
Using a multi-level B-spline model to analyze and compare patient glucose profiles based on continuous monitoring dataHui Zheng, David M Nathan, David A Schoenfeld
Science Translational Medicine|October 7, 2016
Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoringRoy Malka, David M Nathan, John M Higgins
Diabetes Care|December 24, 2004
Biological variation in HbA1c predicts risk of retinopathy and nephropathy in type 1 diabetes: response to McCarter et alSaul Genuth, John M Lachin, David M Nathan
The Journal of Clinical Endocrinology and Metabolism|January 26, 2006
Insulin sensitivity during combined androgen blockade for prostate cancerMatthew R Smith, Hang Lee, David M Nathan
The New England Journal of Medicine|July 13, 2017
Frequency of Evidence-Based Screening for Diabetic RetinopathyDavid M Nathan, Ionut Bebu, John M Lachin
Diabetes Care|August 12, 2021
The Beneficial Effects of Earlier Versus Later Implementation of Intensive Therapy in Type 1 DiabetesJohn M Lachin, Ionut Bebu, David M Nathan, et al.
Diabetes Research and Clinical Practice|April 21, 2018
Estimating HbA1c from timed Self-Monitored Blood Glucose valuesWuQiang Fan, Hui Zheng, Nancy Wei, et al.
Clinical Chemistry|December 4, 2010
Gaps in the glycation gap hypothesisDavid B Sacks, David M Nathan, John M Lachin
Journal of the American Dietetic Association|May 2, 2006
Psychological predictors of physical activity in the diabetes prevention programLinda M Delahanty, Molly B Conroy, David M Nathan, et al.
Diabetes Care|December 21, 2013
Update on cardiovascular outcomes at 30 years of the diabetes control and complications trial/epidemiology of diabetes interventions and complications studyJohn M Lachin, Trevor J Orchard, David M Nathan, et al.
Pageof 25