
Marc Breton
· Associate Director of Research, Center for Diabetes Technology, School of Medicine Professor, School of MedicineUniversity of Virginia · Systems and Information Engineering
Active 1994–2026
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About
Dr. Marc Breton’s research is centered on bringing engineering techniques such as mathematical modeling, simulation, signal processing, and automatic control into the field of medicine and clinical practice. He has participated in the design of the first (and to date only) simulation environment accepted by the US Food & Drugs Administration as a replacement for animal studies in pre-clinical assessment of insulin treatment strategies, and is now in charge of its update and further development. He has been principal investigator on many clinical trials aimed at testing new insulin delivery strategies capable of avoiding hypoglycemia and reducing hyperglycemia, using continuous glucose monitors and subcutaneous insulin injection (Artificial Pancreas), and participated in the protocol and system designs.
Research topics
- Medicine
- Endocrinology
- Internal medicine
- Mathematics
- Computer Science
- Artificial Intelligence
- Pediatrics
- Control engineering
- Intensive care medicine
- Statistics
Selected publications
A Randomized Trial of Closed-Loop Control in Children with Type 1 Diabetes
New England Journal of Medicine · 2020 · 424 citations
1st authorCorrespondingBACKGROUND: A closed-loop system of insulin delivery (also called an artificial pancreas) may improve glycemic outcomes in children with type 1 diabetes. METHODS: In a 16-week, multicenter, randomized, open-label, parallel-group trial, we assigned, in a 3:1 ratio, children 6 to 13 years of age who had type 1 diabetes to receive treatment with the use of either a closed-loop system of insulin delivery (closed-loop group) or a sensor-augmented insulin pump (control group). The primary outcome was…
Endocrine Reviews · 2022 · 387 citations
The significant and growing global prevalence of diabetes continues to challenge people with diabetes (PwD), healthcare providers, and payers. While maintaining near-normal glucose levels has been shown to prevent or delay the progression of the long-term complications of diabetes, a significant proportion of PwD are not attaining their glycemic goals. During the past 6 years, we have seen tremendous advances in automated insulin delivery (AID) technologies. Numerous randomized controlled trials…
Journal of Diabetes Science and Technology · 2022 · 268 citations
BACKGROUND: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. METHODS: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component…
One Year Real-World Use of the Control-IQ Advanced Hybrid Closed-Loop Technology
Diabetes Technology & Therapeutics · 2021 · 239 citations
1st authorCorrespondingIn this real-world use analysis, Control-IQ technology retained, and to some extent exceeded, the results obtained in randomized controlled trials, showing glycemic improvements in a broad age range of people with different types of diabetes.
Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead
Endocrine Practice · 2025-07-17 · 11 citations
reviewOpen access
Recent grants
NIH · $37.9M · 2013
NIH · $421k · 2012
NIH · $3.1M · 2021–2026
Frequent coauthors
- 150 shared
Bruce A. Buckingham
Stanford University
- 136 shared
Gregory P. Forlenza
University of Colorado Anschutz Medical Campus
- 133 shared
Roy W. Beck
Jaeb Center for Health Research
- 130 shared
Daniel R. Cherñavvsky
- 125 shared
Mary C. Oliveri
University of Virginia
- 122 shared
Boris Kovatchev
- 116 shared
Emma Emory
- 116 shared
Craig Kollman
Emory University
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