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Boris Kovatchev

Professor, Director Center for Diabetes Technology

University of Virginia

United States

Research Interests

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Articles (19)

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2026

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2026

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2024

Collaborators (14)

Nestoras Mathioudakis

Associate Professor of Medicine

Johns Hopkins University School of Medicine

UNITED STATES

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Francis J. Doyle

Brown University

UNITED STATES

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David Scheinker

Massachusetts Institute of Technology

UNITED STATES

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Priya Prahalad

Clinical Associate Professor

Stanford University

UNITED STATES

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Roman Hovorka

Professor of Metabolic Technology

University of Cambridge

UNITED KINGDOM

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Claudio Cobelli

ITALY

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Viral Shah

Professor of Medicine

Indiana University-Purdue University Indianapolis

UNITED STATES

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David Maahs

UNITED STATES

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Charlotte Boughton

Assistant Research Professor

University of Cambridge

UNITED KINGDOM

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Shivani Misra

Wellcome Trust Career Development Fellow (Clinical Associate Professor Reader)

Imperial College London

UNITED KINGDOM

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Daniel Espes

Uppsala University

SWEDEN

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Bijan Najafi

Professor

University of California, Los Angeles

UNITED STATES

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Anas El Fathi

Research Assistant Professor

University of Virginia

UNITED STATES

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Jake Yue Chen

The University of Alabama

UNITED STATES

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Boris Kovatchev

Research Interests

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Articles (19)

Research Code Sharing in Support of Gold Standard Science

Finding Optimal Alphabet for Encoding Daily Continuous Glucose Monitoring Time Series Into Compressed Text

Real-Life Use of Automated Insulin Delivery in Individuals With Type 2 Diabetes

CGM Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence Applications

Early Stages of Automated Insulin Delivery

Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and its Application to Type-1 Diabetes

The Virtual DCCT: Adding Continuous Glucose Monitoring to a Landmark Clinical Trial for Prediction of Microvascular Complications

Distribution-based sub-population selection (DSPS): A method for in-silico reproduction of clinical trials outcomes

The Virtual DCCT #3: Relationship of HbA1c and CGM Metrics with Cardiovascular Outcomes

Association Between Time-in-Range and Diabetic Retinopathy: Learnings from DCCT to Recent Times

Artificial Pancreas: The First 20 Years

Registration and Real-Life Studies on Automated Insulin Delivery Systems

The Association of Time-in-Range and Time-in-Tight-Range with Retinopathy Progression in the Virtual Diabetes Control and Complications Trial Continuous Glucose Monitoring Dataset

"The Virtual DCCT #3: Relationship of HbA1c and CGM Metrics with Cardiovascular Outcomes" (Aug, 10.1177/15209156251369538, 2025)

Closed-Loop, Artificial Intelligence-Based Decision Support Systems, and Data Science

Glycemic Risk Index (GRI) Is Related to Type 1 Diabetes Complications-Insights from the Virtual Diabetes Control and Complications Trial (DCCT)

Human-machine co-adaptation to automated insulin delivery: a randomised clinical trial using digital twin technology

Metabolic Models, in Silico Trials, and Algorithms

Adaptive Biobehavioral Control: A Pilot Analysis of Human–Machine Coadaptation in Type 1 Diabetes

Collaborators (14)

Nestoras Mathioudakis

Francis J. Doyle

David Scheinker

Priya Prahalad

Roman Hovorka

Claudio Cobelli

Viral Shah

David Maahs

Charlotte Boughton

Shivani Misra

Daniel Espes

Bijan Najafi

Anas El Fathi

Jake Yue Chen

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