B. Kovatchev

发表

Electroencephalographic and Psychometric Differences Between Boys with and Without Attention-Deficit/Hyperactivity Disorder (ADHD): A Pilot Study

D. Cox, R. Hill, B. Kovatchev, 1998, Applied psychophysiology and biofeedback.

Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: The Virginia Experience

S. Patek, W. Clarke, B. Kovatchev, 2009, Journal of diabetes science and technology.

Evaluating the Efficacy of Closed-Loop Glucose Regulation via Control-Variability Grid Analysis

L. Magni, D. Raimondo, C. Cobelli, 2008, Journal of diabetes science and technology.

In Silico Preclinical Trials: A Proof of Concept in Closed-Loop Control of Type 1 Diabetes

C. Cobelli, B. Kovatchev, M. Breton, 2009, Journal of diabetes science and technology.

The UVA/PADOVA Type 1 Diabetes Simulator

C. Cobelli, B. Kovatchev, M. Breton, 2014, Journal of diabetes science and technology.

Artificial Pancreas: Past, Present, Future

C. Cobelli, B. Kovatchev, E. Renard, 2011, Diabetes.

Model Predictive Control of Type 1 Diabetes: An in Silico Trial

L. Magni, D. Raimondo, C. Cobelli, 2007, Journal of diabetes science and technology.

Model Predictive Control of glucose concentration in subjects with type 1 diabetes: an in silico trial

G. Nicolao, L. Magni, D. Raimondo, 2008 .

Multinational Study of Subcutaneous Model-Predictive Closed-Loop Control in Type 1 Diabetes Mellitus: Summary of the Results

L. Magni, C. Cobelli, S. Patek, 2010, Journal of diabetes science and technology.

First Use of Model Predictive Control in Outpatient Wearable Artificial Pancreas

L. Magni, C. Cobelli, B. Kovatchev, 2014, Diabetes Care.

The Artificial Pancreas in 2016: A Digital Treatment Ecosystem for Diabetes

C. Cobelli, B. Kovatchev, W. Tamborlane, 2016, Diabetes Care.

Progress in Development of an Artificial Pancreas

C. Cobelli, D. Klonoff, B. Kovatchev, 2009, Journal of diabetes science and technology.

Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus Report

F. Doyle, A. Çinar, R. Hovorka, 2016, Diabetes Care.

Day-and-Night Closed-Loop Glucose Control in Patients With Type 1 Diabetes Under Free-Living Conditions: Results of a Single-Arm 1-Month Experience Compared With a Previously Reported Feasibility Study of Evening and Night at Home

L. Magni, C. Cobelli, B. Kovatchev, 2016, Diabetes Care.

Glucose Variability: Timing, Risk Analysis, and Relationship to Hypoglycemia in Diabetes

C. Cobelli, B. Kovatchev, 2016, Diabetes Care.

Use of an artificial pancreas among adolescents for a missed snack bolus and an underestimated meal bolus

B. Kovatchev, M. Breton, P. Keith-Hynes, 2016, Pediatric diabetes.

Fully Integrated Artificial Pancreas in Type 1 Diabetes

Howard C. Zisser, F. Doyle, L. Magni, 2012, Diabetes.

A Biopsychobehavioral Model of Risk of Severe Hypoglycemia

D. Cox, B. Kovatchev, L. Gonder-Frederick, 1997, Diabetes Care.

Understanding Error Grid Analysis

D. Cox, W. Clarke, B. Kovatchev, 1997, Diabetes Care.

Symmetrization of the Blood Glucose Measurement Scale and Its Applications

D. Cox, W. Clarke, B. Kovatchev, 1997, Diabetes Care.

Evaluating Driving Performance of Outpatients with Alzheimer Disease

B. Kovatchev, F. Thorndike, Daniel J. Cox, 1998, The Journal of the American Board of Family Medicine.

Sample Asymmetry Analysis of Heart Rate Characteristics with Application to Neonatal Sepsis and Systemic Inflammatory Response Syndrome

M. P. Griffin, J. R. Moorman, D. Lake, 2003, Pediatric Research.

Effect of stimulant medication on driving performance of young adults with attention-deficit hyperactivity disorder: a preliminary double-blind placebo controlled trial.

D. Cox, B. Kovatchev, R. Merkel, 2000, The Journal of nervous and mental disease.

Controlled-release methylphenidate improves attention during on-road driving by adolescents with attention-deficit/hyperactivity disorder.

D. Cox, B. Kovatchev, R. Merkel, 2004, The Journal of the American Board of Family Practice.

Impact of methylphenidate delivery profiles on driving performance of adolescents with attention-deficit/hyperactivity disorder: a pilot study.

D. Cox, B. Kovatchev, R. Merkel, 2004, Journal of the American Academy of Child and Adolescent Psychiatry.

Relative Benefits of Stimulant Therapy With OROS Methylphenidate Versus Mixed Amphetamine Salts Extended Release in Improving the Driving Performance of Adolescent Drivers With Attention-Deficit/Hyperactivity Disorder

D. Cox, B. Kovatchev, F. Thorndike, 2006, Pediatrics.

Manual Transmission Enhances Attention and Driving Performance of ADHD Adolescent Males

D. Cox, B. Kovatchev, F. Thorndike, 2006, Journal of attention disorders.

Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range

F. Doyle, C. Cobelli, R. Hovorka, 2019, Diabetes Care.

Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data.

D. Cox, W. Clarke, B. Kovatchev, 2004, Diabetes care.

Feasibility of Outpatient Fully Integrated Closed-Loop Control

Howard C. Zisser, F. Doyle, C. Cobelli, 2013, Diabetes Care.

Biopsychobehavioral model of risk of severe hypoglycemia. Self-management behaviors.

D. Cox, W. Clarke, B. Kovatchev, 1999, Diabetes care.

Blood glucose awareness training (BGAT-2): long-term benefits.

D. Cox, W. Polonsky, W. Clarke, 2001, Diabetes care.

Closed loop developments to improve glucose control at home.

Claudio Cobelli, Eric Renard, Boris P Kovatchev, 2013, Diabetes research and clinical practice.

In silico testing and in vivo experiments with closed-loop control of blood glucose in diabetes

Marc D. Breton, Claudio Cobelli, Davide M. Raimondo, 2008 .

Automated closed-loop control of diabetes: the artificial pancreas

Boris Kovatchev, B. Kovatchev, 2018, Bioelectronic Medicine.

Diabetes Technology: Markers, Monitoring, Assessment, and Control of Blood Glucose Fluctuations in Diabetes

Boris P. Kovatchev, B. Kovatchev, 2012, Scientifica.

Using the Internet to Provide Information Prescriptions

Lee M Ritterband, Boris Kovatchev, Daniel J Cox, 2005, Pediatrics.

Diabetes Technology: Monitoring, Analytics, and Optimal Control.

B. Kovatchev, 2018, Cold Spring Harbor perspectives in medicine.

Closed loop control for type 1 diabetes

B. Kovatchev, 2011, BMJ : British Medical Journal.

Pharmacokinetic Model of the Transport of Fast-Acting Insulin From the Subcutaneous and Intradermal Spaces to Blood

Marc D Breton, Alice Chan, Boris P Kovatchev, 2015, Journal of diabetes science and technology.

Effects of Pulsatile Subcutaneous Injections of Insulin Lispro on Plasma Insulin Concentration Levels

Marc D Breton, Alice Chan, Boris P Kovatchev, 2008, Journal of diabetes science and technology.

In silico assessment of biomedical products: The conundrum of rare but not so rare events in two case studies

Marco Viceconti, Claudio Cobelli, Boris Kovatchev, 2017, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Run-to-Run Tuning of Model Predictive Control for Type 1 Diabetes Subjects: In Silico Trial

Marco Forgione, Claudio Cobelli, Lalo Magni, 2009, Journal of diabetes science and technology.

Glycemic Variability: Risk Factors, Assessment, and Control

Boris Kovatchev, B. Kovatchev, 2019, Journal of diabetes science and technology.

Self-treatment of hypoglycemia while driving.

B P Kovatchev, D. Cox, W. Clarke, 2001, Diabetes research and clinical practice.

Methods for quantifying self-monitoring blood glucose profiles exemplified by an examination of blood glucose patterns in patients with type 1 and type 2 diabetes.

Daniel J Cox, William L Clarke, Boris P Kovatchev, 2002, Diabetes technology & therapeutics.

Episodes of severe hypoglycemia in type 1 diabetes are preceded and followed within 48 hours by measurable disturbances in blood glucose.

B P Kovatchev, D. Cox, W. Clarke, 2000, The Journal of clinical endocrinology and metabolism.

Evening and overnight closed-loop control versus 24/7 continuous closed-loop control for type 1 diabetes: a randomised crossover trial.

B. Kovatchev, M. Breton, S. Anderson, 2020, The Lancet. Digital health.

Performance of an Artificial Pancreas System for Young Children with Type 1 Diabetes.

B. Kovatchev, M. Breton, D. Cherñavvsky, 2017, Diabetes technology & therapeutics.

Overnight Closed-Loop Control Improves Glycemic Control in a Multicenter Study of Adults With Type 1 Diabetes

Shelly K McCrady-Spitzer, C. Cobelli, B. Kovatchev, 2017, The Journal of clinical endocrinology and metabolism.

International Consensus on Use of Continuous Glucose Monitoring

Eyal Dassau, Claudio Cobelli, Roman Hovorka, 2017, Diabetes Care.

Modeling of Calibration Effectiveness and Blood-to-Interstitial Glucose Dynamics as Potential Confounders of the Accuracy of Continuous Glucose Sensors during Hyperinsulinemic Clamp

William L Clarke, Boris P Kovatchev, Marc Breton, 2007, Journal of diabetes science and technology.

Hypoglycemia Reduction and Accuracy of Continuous Glucose Monitoring.

B. Kovatchev, 2015, Diabetes technology & therapeutics.

The closed-loop artificial pancreas in 2020.

B. Kovatchev, C. Fabris, 2020, Artificial organs.

In silico Models of Alcohol Dependence and Treatment

B. Kovatchev, M. Breton, Bankole A Johnson, 2011, Front. Psychiatry.

A Critical Appraisal of the Continuous Glucose–Error Grid Analysis

Boris Kovatchev, William L Clarke, Daniel Cox, 2007, Diabetes Care.

Glycemic Variability: How to Measure and Its Clinical Implication for Type 2 Diabetes

B. Kovatchev, G. Umpierrez, 2018, The American journal of the medical sciences.

Correction Insulin Advisory System Based on Meal Behavioral Profiles

S. Patek, B. Kovatchev, M. Breton, 2011 .

Association of Basal Hyperglucagonemia with Impaired Glucagon Counterregulation in Type 1 Diabetes

A. McCall, B. Kovatchev, M. Breton, 2012, Front. Physio..

Muscle microvascular recruitment predicts insulin sensitivity in middle-aged patients with type 1 diabetes mellitus

B. Kovatchev, M. Breton, S. Anderson, 2012, Diabetologia.

Nonlinear Metabolic Effect of Insulin Across the Blood Glucose Range in Patients with Type 1 Diabetes Mellitus

L. Heinemann, B. Kovatchev, M. Breton, 2010, Journal of diabetes science and technology.

Contrast-Enhanced Ultrasound Imaging of Insulin-Induced Microvascular Recruitment in Type 1 Diabetes

B. Kovatchev, M. Breton, A. Chan, 2009 .

Simulation of Glycemic Variability in Critically Ill Burn Patients

Edward A. Ortiz, B. Kovatchev, M. Breton, 2012 .

Investigation of the Accuracy of 18 Marketed Blood Glucose Monitors

D. Klonoff, B. Kovatchev, T. Bailey, 2018, Diabetes Care.

Estimation of Hemoglobin A1c from Continuous Glucose Monitoring Data in Individuals with Type 1 Diabetes: Is Time in Range All We Need?

C. Cobelli, R. Beck, L. Heinemann, 2020, Diabetes technology & therapeutics.

Insulin glargine/lixisenatide fixed‐ratio combination improves glycaemic variability and control without increasing hypoglycaemia

B. Kovatchev, G. Umpierrez, R. Aronson, 2018, Diabetes, obesity & metabolism.

Personalized Subcutaneous Model-Predictive Closed-Loop Control of T1DM: Pilot Studies in the USA and Italy

Marc D. Breton, Claudio Cobelli, Andrea Facchinetti, 2009 .

Twelve-Week 24/7 Ambulatory Artificial Pancreas With Weekly Adaptation of Insulin Delivery Settings: Effect on Hemoglobin A1c and Hypoglycemia

Eyal Dassau, Francis J. Doyle, Claudio Cobelli, 2017, Diabetes Care.

The International Diabetes Closed-Loop Study: Testing Artificial Pancreas Component Interoperability.

Mei Mei Church, F. Doyle, C. Cobelli, 2019, Diabetes technology & therapeutics.

Accuracy of Continuous Glucose Monitoring in Patients After Total Pancreatectomy with Islet Autotransplantation.

B. Kovatchev, G. Forlenza, G. Beilman, 2016, Diabetes technology & therapeutics.

The UVA/Padova Type 1 Diabetes Simulator Goes From Single Meal to Single Day

Claudio Cobelli, Roberto Visentin, Martina Vettoretti, 2018, Journal of diabetes science and technology.

In silico design of optimal ratio for co-administration of pramlintide and insulin in type 1 diabetes.

Claudio Cobelli, Boris Kovatchev, Kathrin Herrmann, 2013, Diabetes technology & therapeutics.

Is Psychological Stress a Factor for Incorporation Into Future Closed-Loop Systems?

Eyal Dassau, Claudio Cobelli, Boris Kovatchev, 2016, Journal of diabetes science and technology.

Impact of Meal Constituents on Artificial Pancreas Algorithms.

B. Kovatchev, E. Campos-Náñez, 2016, Diabetes technology & therapeutics.

Multinational Home Use of Closed-Loop Control Is Safe and Effective

Marc D. Breton, Eyal Dassau, Francis J. Doyle, 2016, Diabetes Care.

Remote glucose monitoring in cAMP setting reduces the risk of prolonged nocturnal hypoglycemia.

Darrell M. Wilson, B. Buckingham, Paula K Clinton, 2014, Diabetes technology & therapeutics.

Average Daily Risk Range as a Measure of Glycemic Risk is Associated with Mortality in the Intensive Care Unit: A Retrospective Study in a Burn Intensive Care Unit

B. Kovatchev, C. Wade, S. Wolf, 2011, Journal of diabetes science and technology.

Model-Based Control of Type 1 Diabetes in “Risk Space”

S. Patek, B. Kovatchev, M. Breton, 2014 .

Reduced daily risk of glycemic variability: comparison of exenatide with insulin glargine.

Boris Kovatchev, Daniel J Cox, A. McCall, 2009, Diabetes technology & therapeutics.

Postprandial Glucose Dynamics and Associated Symptoms in Type 2 Diabetes Mellitus

D. Cox, W. Clarke, B. Kovatchev, 2003 .

Report from IPITA-TTS Opinion Leaders Meeting on the Future of β-Cell Replacement

M. Rickels, B. Kovatchev, B. Ludwig, 2016, Transplantation.

11 – Stochastic Models of Physiology

S. Patek, B. Kovatchev, 2014 .

Does "Stubbornness" Have a Role in Pediatric Constipation?

D. Cox, B. Kovatchev, L. Ritterband, 2006, Journal of developmental and behavioral pediatrics : JDBP.

Accuracy and robustness of dynamical tracking of average glycemia (A1c) to provide real-time estimation of hemoglobin A1c using routine self-monitored blood glucose data.

B. Kovatchev, M. Breton, F. Flacke, 2014, Diabetes technology & therapeutics.

In Silico Models of Alcohol Dependence Treatment: Stochastic Approach

B. Kovatchev, 2010 .

Evaluating readiness and treatment seeking effects in a pharmacotherapy trial for alcohol dependence.

C. Diclemente, B. Kovatchev, M. Breton, 2007, Alcoholism, clinical and experimental research.

The Accuracy of a New Real-Time Continuous Glucose Monitoring Algorithm: An Analysis

B. Kovatchev, M. Breton, 2010, Journal of diabetes science and technology.

Hypoglycemia preceding fatal car collisions.

D. Cox, W. Clarke, B. Kovatchev, 2006, Diabetes Care.

Essential CGM Metrics: The Principal Dimensions of Glycemic Control in Diabetes.

B. Kovatchev, C. Fabris, Eslam Montaser, 2022, Diabetes technology & therapeutics.

Multicenter outpatient dinner/overnight reduction of hypoglycemia and increased time of glucose in target with a wearable artificial pancreas using modular model predictive control in adults with type 1 diabetes

L. Magni, C. Cobelli, G. Lanzola, 2015, Diabetes, obesity & metabolism.

Blood Glucose Awareness Training: What Is It, Where Is It, and Where Is It Going?

D. Cox, W. Polonsky, H. Schächinger, 2006 .

Numerical Estimation of HbA1c from Routine Self-Monitoring Data in People with Type 1 and Type 2 Diabetes Mellitus

D. Cox, B. Kovatchev, 2004 .

Hypoglycemia anticipation, awareness and treatment training (HAATT) reduces occurrence of severe hypoglycemia among adults with type 1 diabetes mellitus

D. Cox, W. Clarke, B. Kovatchev, 2004, International journal of behavioral medicine.

Lixisenatide reduces glycaemic variability in insulin‐treated patients with type 2 diabetes

B. Kovatchev, E. Renard, D. O'Neal, 2017, Diabetes, obesity & metabolism.

Future of Automated Insulin Delivery Systems.

Boris Kovatchev, Jessica R Castle, J Hans DeVries, 2017, Diabetes technology & therapeutics.

From In- to Out-patient Artificial Pancreas Studies: Results And New Developments

L. Magni, C. Cobelli, B. Kovatchev, 2014 .

From Into Out-patient Artificial Pancreas Studies : Results And New Developments

L. Magni, C. Cobelli, B. Kovatchev, 2014 .

Metabolic Demand of Driving Among Adults with Type 1 Diabetes Mellitus (T1DM).

D. Cox, W. Clarke, B. Kovatchev, 2010, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.

Contribution of behavior therapy and biofeedback to laxative therapy in the treatment of pediatric encopresis

D. Cox, B. Kovatchev, J. Sutphen, 1998, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

An Internet intervention as adjunctive therapy for pediatric encopresis.

Lee M Ritterband, Boris Kovatchev, Kushal Patel, 2003, Journal of consulting and clinical psychology.

Assessment of behavioral mechanisms maintaining encopresis: Virginia Encopresis-Constipation Apperception Test.

D. Cox, B. Kovatchev, L. Ritterband, 2003, Journal of pediatric psychology.

External validation of a classifier of daily continuous glucose monitoring (CGM) profiles

B. Kovatchev, Benjamin Lobo, Benjamin J. Lobo, 2022, Comput. Biol. Medicine.

Metrics for glycaemic control — from HbA1c to continuous glucose monitoring

Boris P. Kovatchev, B. Kovatchev, 2017, Nature Reviews Endocrinology.

The Differential and Combined Action of Insulin Glargine and Lixisenatide on the Fasting and Postprandial Components of Glucose Control

B. Kovatchev, E. Renard, G. Umpierrez, 2019, Journal of diabetes science and technology.

How well do glucose variability measures predict patient glycaemic outcomes during treatment intensification in type 2 diabetes?

B. Kovatchev, G. Umpierrez, S. Inzucchi, 2015, Diabetes research and clinical practice.

The effects of glucose fluctuation on cognitive function and QOL: the functional costs of hypoglycaemia and hyperglycaemia among adults with type 1 or type 2 diabetes.

A. McCall, D. Cox, W. Clarke, 2002, International journal of clinical practice. Supplement.

Glycemic Outcomes of Use of CLC Versus PLGS in Type 1 Diabetes: A Randomized Controlled Trial

Mei Mei Church, F. Doyle, E. Dassau, 2020, Diabetes Care.

Nonadjunctive Use of Continuous Glucose Monitoring: The End of Fingersticks?

R. Beck, J. Lum, B. Kovatchev, 2020 .

The Digital/Virtual Diabetes Clinic - the Future is Now. Recommendations from an International Panel on Diabetes Digital Technologies Introduction.

V. Mohan, L. Heinemann, I. Hirsch, 2020, Diabetes technology & therapeutics.

First Look at Control-IQ: A New-Generation Automated Insulin Delivery System

B. Kovatchev, Sue A Brown, Emma Emory, 2018, Diabetes Care.

The metabolic demands of driving for drivers with type 1 diabetes mellitus

B. Kovatchev, L. Gonder-Frederick, W. Clarke, 2002, Diabetes/metabolism research and reviews.

Automated Insulin Delivery with SGLT2i Combination Therapy in Type 1 Diabetes

B. Kovatchev, A. Basu, R. Basu, 2022, Diabetes technology & therapeutics.

Measures of Risk and Glucose Variability in Adults Versus Youths.

B. Kovatchev, 2015, Diabetes technology & therapeutics.

Combined Psychophysiological Assessment of ADHD: A Pilot Study of Bayesian Probability Approach Illustrated by Appraisal of ADHD in Female College Students

Boris Kovatchev, Daniel Cox, Tim Loboschefski, 2004, Applied psychophysiology and biofeedback.

Resolving the conundrum of islet transplantation by linking metabolic dysregulation, inflammation, and immune regulation.

A. McCall, B. Kovatchev, K. Brayman, 2008, Endocrine reviews.

Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes.

Eyal Dassau, Francis J Doyle, Lori M Laffel, 2019, The New England journal of medicine.

Relationships between hyperglycemia and cognitive performance among adults with type 1 and type 2 diabetes.

Daniel J Cox, William L Clarke, Kevin J Grimm, 2005, Diabetes care.

Diabetes: Models, Signals, and Control

L. Magni, C. Cobelli, G. De Nicolao, 2010, IEEE Reviews in Biomedical Engineering.

Treatment of Childhood Constipation by Primary Care Physicians: Efficacy and Predictors of Outcome

D. Cox, B. Kovatchev, L. Ritterband, 2005, Pediatrics.

Treatment of Childhood Encopresis: A Randomized Trial Comparing Three Treatment Protocols

D. Cox, B. Kovatchev, J. Sutphen, 2002, Journal of pediatric gastroenterology and nutrition.

A Century of Diabetes Technology: Signals, Models, and Artificial Pancreas Control

Boris Kovatchev, B. Kovatchev, 2019, Trends in Endocrinology & Metabolism.

A Behavior Change Model for Internet Interventions

Boris P. Kovatchev, Frances P. Thorndike, Daniel J. Cox, 2009, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

Evaluating the clinical accuracy of two continuous glucose sensors using continuous glucose-error grid analysis.

Boris Kovatchev, William L Clarke, Daniel Cox, 2005, Diabetes care.

The artificial pancreas in 2017: The year of transition from research to clinical practice

B. Kovatchev, 2018, Nature Reviews Endocrinology.

Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application.

William L Clarke, Boris P Kovatchev, Marc Breton, 2005, Diabetes technology & therapeutics.

Algorithmic evaluation of metabolic control and risk of severe hypoglycemia in type 1 and type 2 diabetes using self-monitoring blood glucose data.

Daniel J Cox, William L Clarke, Boris P Kovatchev, 2003, Diabetes technology & therapeutics.

Journal of Neurotherapy: Investigations in Neuromodulation, Neurofeedback and Applied Neuroscience The EEG Consistency Index as a Psycho-Physiological Marker of ADHD and Methylphenidate Response: Replication of Results

D. Cox, B. Kovatchev, R. Robeva, 2016 .

Progressive hypoglycemia's impact on driving simulation performance. Occurrence, awareness and correction.

B P Kovatchev, D. Cox, W. Clarke, 2000, Diabetes care.

Glucose Variability and Mortality in Patients Hospitalized With Acute Myocardial Infarction

G. Van den Berghe, J. Spertus, B. Kovatchev, 2012, Circulation. Cardiovascular quality and outcomes.

Anorectal manometric examination in encopretic-constipated children

D. Cox, B. Kovatchev, J. Sutphen, 1997, Diseases of the colon and rectum.

Predictors of Outcome Treatment of Childhood Constipation by Primary Care Physicians: Efficacy and

D. Cox, B. Kovatchev, L. Ritterband, 2013 .

Pilot Studies of Wearable Outpatient Artificial Pancreas in Type 1 Diabetes

Eyal Dassau, Francis J. Doyle, Claudio Cobelli, 2012, Diabetes Care.

Effect of Automated Bio-Behavioral Feedback on the Control of Type 1 Diabetes

B. Kovatchev, S. Anderson, L. Gonder-Frederick, 2011, Diabetes Care.

Pramlintide reduces the risks associated with glucose variability in type 1 diabetes.

A. McCall, B. Kovatchev, J. Crean, 2008, Diabetes technology & therapeutics.

The Psychosocial Impact of Severe Hypoglycemic Episodes on Spouses of Patients With IDDM

D. Cox, B. Kovatchev, L. Gonder-Frederick, 1997, Diabetes Care.

Risk Analysis of Blood Glucose Data: A Quantitative Approach to Optimizing the Control of Insulin Dependent Diabetes

Martin Straume, Boris P. Kovatchev, Leon S. Farhy, 2000 .

Model predictive control of glucose concentration in type I diabetic patients: An in silico trial

Giuseppe De Nicolao, Claudio Cobelli, Lalo Magni, 2009, Biomed. Signal Process. Control..

Closed-Loop Control Performance of the Hypoglycemia-Hyperglycemia Minimizer (HHM) System in a Feasibility Study

Eyal Dassau, Stephen D Patek, Linda Mackowiak, 2014, Journal of diabetes science and technology.

Consensus Report of the Coalition for Clinical Research—Self-Monitoring of Blood Glucose

Darrell M. Wilson, D. Klonoff, D. Owens, 2008, Journal of diabetes science and technology.

Calibration of ADHD Assessments Across Studies: A Meta-Analysis Tool

Boris Kovatchev, Daniel Cox, M. Layne Kalbfleisch, 2005, Applied psychophysiology and biofeedback.

DiAs Web Monitoring: A Real-Time Remote Monitoring System Designed for Artificial Pancreas Outpatient Trials

Boris Kovatchev, Eric Renard, Bruce Buckingham, 2013, Journal of diabetes science and technology.

Modular Closed-Loop Control of Diabetes

Marc D. Breton, Eyal Dassau, Francis J. Doyle, 2012, IEEE Transactions on Biomedical Engineering.

Fetal Risk Assessment in Pregnancies Complicated by Diabetes Mellitus

B. Kovatchev, H. Zisser, L. Jovanovic, 2010, Journal of diabetes science and technology.

The artificial pancreas: a digital-age treatment for diabetes.

Claudio Cobelli, Boris Kovatchev, Eric Renard, 2014, The lancet. Diabetes & endocrinology.

Stochastic model of self-regulation decision making exemplified by decisions concerning hypoglycemia.

D. Cox, B. Kovatchev, L. Gonder-Frederick, 1998, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

Continuous glucose monitoring and metrics for clinical trials: an international consensus statement.

M. Phillip, R. Beck, J. Rosenstock, 2022, The lancet. Diabetes & endocrinology.

Peculiarities of the Continuous Glucose Monitoring Data Stream and Their Impact on Developing Closed-Loop Control Technology

Boris Kovatchev, William Clarke, W. Clarke, 2008, Journal of diabetes science and technology.

Closed loop control in adolescents and children during winter sports: Use of the Tandem Control‐IQ AP system

B. Buckingham, D. Maahs, R. Wadwa, 2019, Pediatric diabetes.

Individually Adaptive Artificial Pancreas in Subjects with Type 1 Diabetes: A One-Month Proof-of-Concept Trial in Free-Living Conditions

Claudio Cobelli, Giordano Lanzola, Lalo Magni, 2017 .

Closed-Loop Control During Intense Prolonged Outdoor Exercise in Adolescents With Type 1 Diabetes: The Artificial Pancreas Ski Study

Marc D. Breton, Boris P. Kovatchev, Gregory P. Forlenza, 2017, Diabetes Care.

Adaptation of Insulin Delivery Settings : Effect on Hemoglobin A 1 c and Hypoglycemia

Lauren M. Huyett, Mei Mei Church, Shelly K McCrady-Spitzer, 2017 .

2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: a randomised crossover trial.

Claudio Cobelli, Giordano Lanzola, Lalo Magni, 2015, The lancet. Diabetes & endocrinology.

Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring.

Stephen D Patek, Marc D Breton, Boris P Kovatchev, 2015, Diabetes technology & therapeutics.

Statistical tools to analyze continuous glucose monitor data.

Boris Kovatchev, William Clarke, W. Clarke, 2009, Diabetes technology & therapeutics.

Systematic method to assess microvascular recruitment using contrast-enhanced ultrasound. Application to insulin-induced capillary recruitment in subjects with T1DM

Marc D. Breton, Boris P. Kovatchev, Alice Chan, 2011, Comput. Methods Programs Biomed..

Continuous Glucose Monitoring and Insulin Informed Advisory System with Automated Titration and Dosing of Insulin Reduces Glucose Variability in Type 1 Diabetes Mellitus.

Stephen D Patek, Marc D Breton, Chiara Fabris, 2018, Diabetes technology & therapeutics.

Automated closed-loop control of diabetes: the artificial pancreas

B. Kovatchev, 2018, Bioelectronic medicine.

A novel analytical method for assessing glucose variability: using CGMS in type 1 diabetes mellitus.

Daniel J Cox, Boris P Kovatchev, A. McCall, 2006, Diabetes technology & therapeutics.

The Surveillance Error Grid

Boris Kovatchev, David C Klonoff, David B Sacks, 2014, Journal of diabetes science and technology.

Neurocognitive Differences Between Drivers with Type 1 Diabetes with and without a Recent History of Recurrent Driving Mishaps.

D. Cox, W. Clarke, B. Kovatchev, 2010, International journal of diabetes mellitus.

Assessment of risk for severe hypoglycemia among adults with IDDM: validation of the low blood glucose index.

B P Kovatchev, Daniel J. Cox, D. Cox, 1998, Diabetes care.

Frequency of severe hypoglycemia in insulin-dependent diabetes mellitus can be predicted from self-monitoring blood glucose data.

D G Schlundt, B P Kovatchev, D. Cox, 1994, The Journal of clinical endocrinology and metabolism.

Overnight Glucose Control With an Automated, Unified Safety System in Children and Adolescents With Type 1 Diabetes at Diabetes Camp

Marc D. Breton, Boris P. Kovatchev, Bruce A. Buckingham, 2014, Diabetes Care.

Adjustment of Open-Loop Settings to Improve Closed-Loop Results in Type 1 Diabetes: A Multicenter Randomized Trial.

Eyal Dassau, Claudio Cobelli, Boris Kovatchev, 2015, The Journal of clinical endocrinology and metabolism.

Type 1 Diabetic Drivers With and Without a History of Recurrent Hypoglycemia–Related Driving Mishaps

Boris P. Kovatchev, Daniel J. Cox, Stacey M. Anderson, 2010, Diabetes Care.

Computing the Surveillance Error Grid Analysis

Richard F Louie, Gerald J Kost, Marc D Breton, 2014, Journal of diabetes science and technology.

Rebound effects with long-acting amphetamine or methylphenidate stimulant medication preparations among adolescent male drivers with attention-deficit/hyperactivity disorder.

D. Cox, B. Kovatchev, A. Mikami, 2008, Journal of child and adolescent psychopharmacology.

Analysis, Modeling, and Simulation of the Accuracy of Continuous Glucose Sensors

Boris Kovatchev, Marc Breton, B. Kovatchev, 2008, Journal of diabetes science and technology.

Biobehavioral Changes Following Transition to Automated Insulin Delivery: A Large Real-life Database Analysis

B. Kovatchev, L. Gonder-Frederick, Harsimran Singh, 2022, Diabetes care.

One Year Real-World Use of the Control-IQ Advanced Hybrid Closed-Loop Technology

B. Kovatchev, M. Breton, 2021, Diabetes technology & therapeutics.

Patient Reported Outcomes in a Randomized Trial of Closed-Loop Control: The Pivotal International Diabetes Closed Loop Trial.

R. Beck, J. Lum, B. Kovatchev, 2021, Diabetes technology & therapeutics.

B. Kovatchev, Benjamin J. Lobo, 2023, Diabetes technology & therapeutics.

A Meta-Analysis of Randomized Trial Outcomes for the t:slim X2 Insulin Pump with Control-IQ Technology in Youth and Adults from Age 2 to 72.

B. Buckingham, R. Wadwa, C. Kollman, 2023, Diabetes technology & therapeutics.

Closed-Loop and Artificial Intelligence-Based Decision Support Systems.

M. Phillip, B. Kovatchev, R. Nimri, 2023, Diabetes technology & therapeutics.

Candidate Selection for Hybrid Closed Loop Systems.

B. Kovatchev, M. Breton, G. Forlenza, 2021, Diabetes Technology & Therapeutics.

Examining the Added Value of Audio, Graphics, and Interactivity in an Internet Intervention for Pediatric Encopresis

Boris P. Kovatchev, Stephen M. Borowitz, Daniel J. Cox, 2006 .

Beyond HbA1c: using continuous glucose monitoring metrics to enhance interpretation of treatment effect and improve clinical decision‐making

A. Basu, B. Kovatchev, A. Basu, 2019, Diabetic medicine : a journal of the British Diabetic Association.

Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice

C. de Beaufort, C. Cobelli, R. Hovorka, 2022, Endocrine reviews.

Randomized Controlled Trial of Mobile Closed-Loop Control

Mei Mei Church, F. Doyle, E. Dassau, 2020, Diabetes Care.

Feasibility of Long-Term Closed-Loop Control: A Multicenter 6-Month Trial of 24/7 Automated Insulin Delivery.

Eyal Dassau, Claudio Cobelli, Marc D Breton, 2017, Diabetes technology & therapeutics.

Hybrid Closed-Loop Control Is Safe and Effective for People with Type 1 Diabetes Who Are at Moderate to High Risk for Hypoglycemia.

B. Buckingham, Paula K Clinton, B. Kovatchev, 2019, Diabetes technology & therapeutics.

Analytical methods for the retrieval and interpretation of continuous glucose monitoring data in diabetes.

Boris Kovatchev, William Clarke, Marc Breton, 2009, Methods in enzymology.

A Review of Continuous Glucose Monitoring Based Composite Metrics for Glycemic Control.

D. Klonoff, B. Kovatchev, Julia Han, 2020, Diabetes technology & therapeutics.

DRIVING SIMULATION PERFORMANCE PREDICTS FUTURE ACCIDENTS AMONG OLDER DRIVERS

B. Kovatchev, Daniel J. Cox, D J Cox, 1999, Journal of the American Geriatrics Society.

The effects of age and alcohol intoxication on simulated driving performance, awareness and self-restraint.

B P Kovatchev, D. Cox, B. Kovatchev, 1999, Age and ageing.

Multicenter closed-loop insulin delivery study points to challenges for keeping blood glucose in a safe range by a control algorithm in adults and adolescents with type 1 diabetes from various sites.

Eyal Dassau, Claudio Cobelli, Lalo Magni, 2014, Diabetes technology & therapeutics.

Comparison of the Numerical and Clinical Accuracy of Four Continuous Glucose Monitors

Lutz Heinemann, Boris P. Kovatchev, Stacey M. Anderson, 2008, Diabetes Care.

Linear Quadratic Gaussian-Based Closed-Loop Control of Type 1 Diabetes

Stephen D Patek, Marc D Breton, Yuanda Chen, 2007, Journal of diabetes science and technology.

Clinical Assessment and Mathematical Modeling of the Accuracy of Continuous Glucose Sensors (CGS)

B.P. Kovatchev, C. King, M. Breton, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

A Psychophysiological Marker of Attention Deficit/Hyperactivity Disorder (ADHD)—Defining the EEG Consistency Index

B. Kovatchev, R. Robeva, R. Reeve, 2001, Applied psychophysiology and biofeedback.

Impact of Blood Glucose Self-Monitoring Errors on Glucose Variability, Risk for Hypoglycemia, and Average Glucose Control in Type 1 Diabetes: An In Silico Study

Marc D Breton, Boris P Kovatchev, B. Kovatchev, 2010, Journal of diabetes science and technology.

Safety of Outpatient Closed-Loop Control: First Randomized Crossover Trials of a Wearable Artificial Pancreas

Marc D. Breton, Eyal Dassau, Francis J. Doyle, 2014, Diabetes Care.

Historical data enhances safety supervision system performance in T1DM insulin therapy risk management

Marc D. Breton, Stephen D. Patek, Boris P. Kovatchev, 2013, Comput. Methods Programs Biomed..

Anticipating the next meal using meal behavioral profiles: A hybrid model-based stochastic predictive control algorithm for T1DM

C S Hughes, S D Patek, M Breton, 2011, Comput. Methods Programs Biomed..

A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings

Francis J. Doyle, G. A. Fleming, B. Bequette, 2022, Journal of diabetes science and technology.

The EEG Consistency Index as a Measure of ADHD and Responsiveness to Medication

B. Kovatchev, Daniel J. Cox, R. Reeve, 2000, Applied psychophysiology and biofeedback.

Quantifying the Benefits of Enhancing Medications on Driving Performance: Comparing Oros® MPH vs. se-AMPH ER® in Driving Safety of ADHD Teenagers as Case Example

Melissa Moore, Boris P. Kovatchev, Frances P. Thorndike, 2017 .

Glucose Prediction Algorithms from Continuous Monitoring Data: Assessment of Accuracy via Continuous Glucose Error-Grid Analysis

Giovanni Sparacino, Claudio Cobelli, Boris P. Kovatchev, 2007, Journal of diabetes science and technology.

Detection of Hypoglycemia by Children With Type 1 Diabetes 6 to 11 Years of Age and Their Parents: A Field Study

Boris Kovatchev, William Clarke, Daniel Cox, 2008, Pediatrics.

The Median is Not the Only Message: A Clinician's Perspective on Mathematical Analysis of Glycemic Variability and Modeling in Diabetes Mellitus

A. McCall, B. Kovatchev, 2009, Journal of diabetes science and technology.

Control to Range for Diabetes: Functionality and Modular Architecture

Eyal Dassau, Claudio Cobelli, Lalo Magni, 2009, Journal of diabetes science and technology.

Cardiovascular oscillations at the bedside: early diagnosis of neonatal sepsis using heart rate characteristics monitoring

Hanqing Cao, Joshua S Richman, Boris P Kovatchev, 2011, Physiological measurement.

Graphical and numerical evaluation of continuous glucose sensing time lag.

Boris P Kovatchev, Marc Breton, Devin Shields, 2009, Diabetes technology & therapeutics.

Optimum Subcutaneous Glucose Sampling and Fourier Analysis of Continuous Glucose Monitors

Marc D Breton, Boris P Kovatchev, B. Kovatchev, 2008, Journal of diabetes science and technology.

Accuracy of CGM systems

William L. Clarke, Boris P. Kovatchev, W. Clarke, 2020 .

Artificial Pancreas Goes Outpatient: A New Diabetes Ecosystem

C. Cobelli, B. Kovatchev, H. Zisser, 2013, Journal of diabetes science and technology.

P ro g ressive Hypoglycemia's Impact on Driving Simulation P erf o rm a n c e

D. Cox, W. Clarke, B. Kovatchev, 2000 .

Evaluating clinical accuracy of continuous glucose monitoring systems: Continuous Glucose-Error Grid Analysis (CG-EGA).

Boris Kovatchev, William L Clarke, W. Clarke, 2008, Current diabetes reviews.

Recent Exposure to Hypoglycemia Increases Glucose Variability Following a Hyper/Hypoglycemic Metabolic Challenge in T1D

B. Kovatchev, M. Breton, S. Anderson, 2018, Journal of diabetes science and technology.

Novel Methodology to Determine the Accuracy of the OmniPod Insulin Pump: A Key Component of the Artificial Pancreas System

D. Seborg, E. Dassau, B. Kovatchev, 2011, Journal of diabetes science and technology.

A Data-Driven Approach to Classifying Daily Continuous Glucose Monitoring (CGM) Time Series

Boris Kovatchev, Benjamin J. Lobo, Mahdi Shafiei, 2021, IEEE Transactions on Biomedical Engineering.

Comparison of the clinical information provided by the FreeStyle Navigator continuous interstitial glucose monitor versus traditional blood glucose readings.

William L Clarke, Boris P Kovatchev, W. Clarke, 2010, Diabetes technology & therapeutics.

Closed-loop control for pediatric Type 1 diabetes mellitus

Ananda Basu, Boris P. Kovatchev, Yogish C. Kudva, 2015 .

The university of Virginia/Padova type 1 diabetes simulator matches the glucose traces of a clinical trial.

C. Cobelli, B. Kovatchev, R. Visentin, 2014 .

How well do glucose variability measures predict patient glycaemic outcomes during treatment intensification in type 2 diabetes?

B. Kovatchev, G. Umpierrez, S. Inzucchi, 2015, Diabetes research and clinical practice.

Is glycemic variability important to assessing antidiabetes therapies?

Boris P Kovatchev, B. Kovatchev, 2006, Current diabetes reports.

Continuous Glucose Sensors: Continuing Questions about Clinical Accuracy

Boris Kovatchev, William L Clarke, W. Clarke, 2007, Journal of diabetes science and technology.

Hypoglycemia Prevention via Pump Attenuation and Red-Yellow-Green “Traffic” Lights Using Continuous Glucose Monitoring and Insulin Pump Data

Stephen D Patek, Marc D Breton, Boris P Kovatchev, 2010, Journal of diabetes science and technology.

A Model of Self-Treatment Behavior, Glucose Variability, and Hypoglycemia-Associated Autonomic Failure in Type 1 Diabetes

Boris Kovatchev, William L Clarke, Marc Breton, 2007, Journal of diabetes science and technology.

Adding heart rate signal to a control-to-range artificial pancreas system improves the protection against hypoglycemia during exercise in type 1 diabetes.

Marc D Breton, Boris P Kovatchev, B. Kovatchev, 2014, Diabetes technology & therapeutics.

Bio-Behavioral Control, Glucose Variability, and Hypoglycemia-Associated Autonomic Failure in Type 1 Diabetes (T1DM)

B. Kovatchev, M. Breton, L. Farhy, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Closed-Loop Insulin Therapy Improves Glycemic Control in Adolescents and Young Adults: Outcomes from the International Diabetes Closed-Loop (iDCL) Trial.

Mei Mei Church, Shelly K McCrady-Spitzer, C. Cobelli, 2020, Diabetes technology & therapeutics.

DiAs User Interface: A Patient-Centric Interface for Mobile Artificial Pancreas Systems

Stephanie Guerlain, Boris P Kovatchev, Patrick Keith-Hynes, 2013, Journal of diabetes science and technology.

The university of Virginia/Padova type 1 diabetes simulator matches the glucose traces of a clinical trial.

C. Cobelli, B. Kovatchev, C. Dalla Man, 2014, Diabetes technology & therapeutics.

First Use of Model Predictive Control in Outpatient Wearable Artificial Pancreas

L. Magni, C. Cobelli, B. Kovatchev, 2014, Diabetes Care.

Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility.

C. Cobelli, B. Kovatchev, 2023, Journal of diabetes science and technology.

2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: a randomised crossover trial.

L. Magni, C. Cobelli, B. Kovatchev, 2015, The lancet. Diabetes & endocrinology.

Predicting Immunological Risk for Stage 1 and Stage 2 Diabetes using a One-Week CGM Home Test, Nocturnal Glucose Increments, and Standardized Liquid Mixed Meal Breakfasts, with Classification Enhanced by Machine Learning.

B. Kovatchev, M. Breton, M. DeBoer, 2023, Diabetes technology & therapeutics.

Low Blood Glucose Index and Hypoglycaemia Risk: Insulin Glargine 300 U/mL Versus Insulin Glargine 100 U/mL in Type 2 Diabetes

B. Kovatchev, M. Breton, R. Perfetti, 2020, Diabetes Therapy.

Feasibility of Long-Term Closed-Loop Control: A Multicenter 6-Month Trial of 24/7 Automated Insulin Delivery.

F. Doyle, C. Cobelli, E. Dassau, 2017, Diabetes technology & therapeutics.

The Accuracy Benefit of Multiple Amperometric Glucose Sensors in People With Type 1 Diabetes

W. Kenneth Ward, Boris Kovatchev, Jessica R. Castle, 2012, Diabetes Care.

Artiﬁcial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities

B. Kovatchev, K. Nikita, J. Bondia, 2022 .

Multicenter closed-loop insulin delivery study points to challenges for keeping blood glucose in a safe range by a control algorithm in adults and adolescents with type 1 diabetes from various sites.

Howard C. Zisser, L. Magni, D. Raimondo, 2014, Diabetes technology & therapeutics.

Hypoglycemia and the decision to drive a motor vehicle by persons with diabetes.

B. Kovatchev, L. Gonder-Frederick, W. Clarke, 1999, JAMA.