Nestoras Mathioudakis, MD, MHS

Physician’s Office Phone

410-955-3663

Professional Titles

• Co-Medical Director of Johns Hopkins Medicine Diabetes Prevention & Education Program
• Chair, Council for Clinical Excellence in Diabetes, Armstrong Institute for Patient Safety and Quality
• Co-Director, Multi-Disciplinary Diabetes Foot Wound Clinic

Primary Academic Title

Associate Professor of Medicine

Background

Centers and Institutes

• Comprehensive Diabetes Center
• Multidisciplinary Diabetic Foot and Wound Service

LinkedIn

https://www.linkedin.com/in/nestorasmathioudakis/

Clinical Trial Keywords

Type 1 Diabetes, Diabetes Technology, Diabetes Prevention

Clinical Trials Summary

• Diabetes Prevention Program Outcomes Study (DPPOS), Co-PI
• Effectiveness of Digital Versus In-Person Diabetes Prevention Programs, PI.  (R01DK125780)
• Implementation of a diabetes navigator to Mitigate DisPArities and improve CGM upTake and sustained use across the lifespan of T1D (IMPACT T1D), PI. (R01DK125780)

Find a Clinical Trial

Videos

• Dr. Nestoras Mathioudakis

• Johns Hopkins Diabetes Prevention and Education Program

Recent News Articles and Media Coverage

• Physicians must clearly inform patients with diabetes risks for ketoacidosis when using SGLT2 inhibitors, Healio (September 5, 2016)
• Hospitals work to improve inpatient diabetes management, Healio (July 2015)
• Five Terrifying Signs of Diabetes You Probably Don't Know About,  MensHealth (April 2018)
• Researcher Spotlight: Nestoras Mathioudakis, MD MHS, Practical Diabetology (January 2019)
• What are ketones? Prevention.com (June, 2018)
• Insulin is getting so expensive that people with diabetes are switching to older versions of the drug.  It's having deadly consequences, INSIDER (August 16, 2019)
• Johns Hopkins, University of Maryland Medical Center Team Up to Tackle Diabetes in Baltimore, NewsWise (November 2020)
• Population Health Initiative to Improve Chronic Disease Management, Health IT Analytics (November 2020)
• Out of Control: America's Losing Battle Against Diabetes, Reuters (August 2021)
• Diabetes Care "On Air" Podcast, Diabetes Journals (January 3, 2023)
• Meet the Expert: Asking the ‘Why?’ Behind Racial Disparities in Diabetes Tech Use, T1D Exchange (April 14, 2023)
• AI Takes Center Stage at the American Thyroid Association’s Annual Meeting, Doximity (October 9, 2023)
• Diabetes Deconstructed, Episode 30, The Johns Hopkins Patient Guide to Diabetes
• The Future of AI in Medicine: Current State, Applications, and Evolution. Pain Matters Podcast (April 25, 2024)
• Navigating Transplant-Related Diabetes: Empowering Patients through Education & Prevention, Trio Maryland (August 12, 2024)
• New Guidelines Shift Diabetes Care Toward Behavior.  Medscape Medical News (June 10, 2025).
• AI-Directed Diabetes Prevention Program as Effective as Human Coaching, Medscape (November 28, 2025) 
• AI-powered coach as effective as a human in preventing diabetes, The Baltimore Sun  (November 6, 2025)
• AI, digital tools hold promise for improving metabolic health, Healio (January 5, 2026)

Research Interests

Clinical Decision Support Systems, Diabetes Technology, Diabetic Foot Ulcers, Inpatient Glucose Management, Machine Learning, Patient Safety and Quality, Type 1 Diabetes, Type 2 Diabetes Mellitus

Lab Website

Nestoras Mathioudakis Lab - Lab Website

• Our lab is focused on developing and evaluating clinical decision support systems, technology, and mHealth for diabetes prevention and management. We leverage large electronic medical databases and use machine learning algorithms and artificial intelligence to identify patterns in clinical care associated with optimal clinical outcomes. We are interested in understanding the role that advanced diabetes technologies can play in improving health outcomes for patients with diabetes.

Research Summary

Dr. Mathioudakis's research focuses on transforming diabetes care through innovation and technology, guided by the principles of prediction, precision, and prevention. His research is dedicated to developing and evaluating cutting-edge clinical decision support systems and utilizing mobile health (mHealth) solutions to enhance diabetes prevention and management.

A key aspect of Dr. Mathioudakis' work involves the application of machine learning to extensive electronic health record (EHR) datasets. By employing the Observational Health Data Sciences and Informatics (OHDSI) framework, he aims to generate real-world evidence that can predict outcomes and improve decision-making processes for individuals at risk for or currently managing diabetes. This includes investigating AI-driven interventions and conducting a variety of rigorous studies such as retrospective analyses, prospective cohort studies, randomized controlled trials (RCTs), systematic reviews, and meta-analyses.  Additionally, Dr. Mathioudakis addresses healthcare disparities in diabetes care by leveraging informatics tools and advanced technologies to ensure equitable access to effective prevention and management strategies across diverse communities.

Google Scholar - Publications

https://g.co/kgs/EWvh2W

PubMed - Publications

https://www.ncbi.nlm.nih.gov/myncbi/nestoras.mathioudakis.1/bibliography/public/

Research Gate - Research Profile

https://www.researchgate.net/profile/Nestoras-Mathioudakis

Selected Publications

• Association of Hemoglobin A1cand Wound Healing in Diabetic Foot Ulcers. Fesseha BK, Abularrage CJ, Hines KF, Sherman R, Frost P, Langan S, Canner J, Likes KC, Hosseini SM, Jack G, Hicks CW, Yalamanchi S, Mathioudakis N. Diabetes Care. 2018 Jul;41(7):1478-1485. doi: 10.2337/dc17-1683. Epub 2018 Apr 16. PMID: 29661917

• Development and validation of a machine learning model for classification of next glucose measurement in hospitalized patients. Zale AD, Abusamaan MS, McGready J, Mathioudakis N. EClinicalMedicine. 2022 Feb 4;44:101290. doi: 10.1016/j.eclinm.2022.101290. eCollection 2022 Feb. PMID: 35169690 

• Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients. Mathioudakis NN, Abusamaan MS, Shakarchi AF, Sokolinsky S, Fayzullin S, McGready J, Zilbermint M, Saria S, Golden SH. JAMA Netw Open. 2021 Jan 4;4(1):e2030913. doi: 10.1001/jamanetworkopen.2020.30913. PMID: 33416883 

• Racial Disparities in Access and Use of Diabetes Technology Among Adult Patients With Type 1 Diabetes in a U.S. Academic Medical Center.  Kanbour S, Jones M, Abusamaan MS, Nass C, Everett E, Wolf RM, Sidhaye A, Mathioudakis N. Diabetes Care. 2023 Jan 1;46(1):56-64. doi: 10.2337/dc22-1055. PMID: 36378855

• Mathioudakis N, Lalani B, Abusamaan MS, Alderfer M, Alver D, Dobs A, Kane B, McGready J, Riekert K, Ringham B, Shehadeh A, Vandi F, Wanigatunga AA, Zade D, Maruthur NM; AI-DPP Study Group. An AI-Powered Lifestyle Intervention vs Human Coaching in the Diabetes Prevention Program: A Randomized Clinical Trial. JAMA. 2025 Dec 16;334(23):2079-2089

Courses & Syllabi

• Epidemiology, Johns Hopkins University School of Medicine, Genes to Society- Year 1 Course, 12/1/18
• Database Querying in Health, Biomedical Informatics and Data Science, 250.957, 10/1/21
• Diabetes 101, Johns Hopkins Bloomberg School of Public Health, 3/1/19
• TIME: Clinical Informatics, Johns Hopkins University School of Medicine

Honors

• Outstanding Adult PI of the Year, T1D Exchange QI Collaborative, 2025
• Baltimore Top Doctor, Diabetes Care, 2020, 2021, 2023
• Co-Chair, Type 2 Diabetes Prognostics Working Group, American Diabetes Association Precision Medicine Diabetes Initiative, 10/1/20
• Elected Member, Alpha Omega Alpha Medical Honor Society, 1/1/20
• Baltimore Top Doctor 2018, Endocrinology, 1/1/18
• Nominated Clinical Member to the national Merit-Based Incentive Program (MIPS) of the Center for Medicare and Medicaid Service (CMS) for development of two outpatient diabetes quality measures, 1/1/18
• Elected to Epic Endocrinology National Steering Board, Epic, 7/25/17
• Endocrinology Mentor of the Year Award, 1/1/12
• First Place Oral Clinical Vignette, American College of Physicians, 1/1/09
• Leonie Shorey Scholar, Johns Hopkins University, 1/1/01
• Departmental Honors, Johns Hopkins University, 1/1/01
• Phi Beta Kappa, Johns Hopkins University, 1/1/99

Lectures & Presentations

• AI in Health and Medicine: The State of the Field, Lecture, American Thyroid Association annual meeting at the plenary session on Artificial Intelligence, Washington, D.C., 9/23/23
• Antihyperglycemic Agents and Cardiovascular Outcomes, Invited Talk, International Meeting, Cardiometablic Conference, Saudi Aramco, Dhahran, Saudi Arabia, 10/1/18
• Diabetes Prevention Program: Current and Future Perspectives, Invited Talk, International Meeting, 8th International Conference of Endocrinology and Diabetes, Saudi Arabia Endocrine Society, Virtual, 2/10/21
• Diabetes Self-Management Training: A High Value Standard of Care, Invited Talk, National Conference, Architecture of High Value Practice Academic Alliance, Baltimore, Maryland, 10/6/22
• Glucose Management in the Hospital: From Clinical Care to Systems Interventions, Invited Talk, Scientific Meeting, Quality Improvement Workshop of Inpatient Blood Glucose Management, Peking University, Beijing, China, 3/20/15
• High Value Care for Diabetes Prevention, Invited Talk, National Meeting, High Value Practice Academic Alliance, Baltimore, Maryland, 10/10/21
• Machine Learning Glycemic Prediction for the Hospital Using EHR Data, Invited Talk, National Conference, Hospital Diabetes Meeting, Diabetes Science and Technology, Virtual Meeting, 4/4/22
• Management of Steroid-Induced Hyperglycemia, Invited Talk, International Meeting, International Conference of Endocrinology and Diabetes, Saudi Arabia Endocrine Society, Virtual, 2/1/21
• Preventing Iatrogenic Hypoglycemia in the Hospital: Leveraging the Power of Big Data, Invited Talk, International Meeting, 8th International Conference of Endocrinology and Diabetes, Saudia Arabia Endocrine Society, Virtual, 2/1/21
• Prevention of Insulin-Associated Hypoglycemia with a Real-Time Infomatics Alert, Invited Talk, International Conference, 5th Annual International Symposium on Diabetes, Athens Institute for Education and Research, Athens, Greece, 5/10/19
• Real-Time Model of Insulin-Associated Hypoglycemia, Invited Talk, Scientific Meeting, 77th Scientific Session, American Diabetes Association, San Diego, CA, 6/9/17
• Use of Machine Learning in Clinical Research, Webinar, Webinar, Shanghai University of Medicine and Health Sciences Webinar, Shanghai University of Medicine and Health Sciences, Shanghai, China, Virtual, 5/1/22
• Working with Big Data: Machine Learning Applications in Endocrinology, Webinar, Endocrine Society Webinar, Endocrine Society, Virtual, 5/1/22
• AI for Diabetes Prevention, Diabetes Technology Meeting, ADA/Diabetes Technology Society Joint Meeting, Burlingame, CA
• BPA-TECH: Johns Hopkins Diabetes Centers Best Practice Advisory (BPA) Project to Improve Equity in Diabetes Technology Use, T1D Exchange QI Collaborative Learning Session, Atlanta, GA

Graduate Program Affiliations

• Biomedical Informatics and Data Science
• Epidemiology (Bloomberg School of Public Health)

Memberships

• American Association of Clinical Endocrinologists (AACE)
• American Diabetes Association (ADA)
• Endocrine Society
• PRIDE (Planning Research in Inpatient Diabetes)
• Journal of Diabetes and Its Complications,

  Editorial Board Member

Professional Activities

• Division of Endocrinology, Diabetes and Metabolism, Clinical Director, 1/1/16 - 2/28/21
• Endocrinology Consultation Service, Attending Physician, 7/1/12
• General Endocrinology Outpatient Clinic, Consulting physician, 7/1/12
• Johns Hopkins Endocrinology, Diabetes & Metabolism Fellows' Outpatient Clinic, Preceptor