2026, Scientific Sessions, Session Coverage
  • Outstanding Educator in Diabetes Award recipient: Value the stories behind the numbers 

    Outstanding Educator in Diabetes Award recipient: Value the stories behind the numbers 

    In her award lecture, Diana Isaacs, PharmD, BCACP, CDCES, BC-ADM, FADCES, FCCP, advocated embracing new tools and technology while keeping the people living with diabetes central to new approaches to care.


  • Debate to weigh speed of AI adoption in diabetes care

    Debate to weigh speed of AI adoption in diabetes care

    Nestoras Mathioudakis, MD, MHS, and Neda Laiteerapong, MD, will debate the merits of incorporating artificial intelligence (AI) into health care delivery now versus taking a wait-and-see approach. They will discuss cost and quality of care and clinician burnout as key factors to consider.


  • Symposium to examine AI’s current and near-future impact on diabetes tech

    Symposium to examine AI’s current and near-future impact on diabetes tech

    Boris Kovatchev, PhD, and other panelists will share recent developments in the application of artificial intelligence in automated insulin delivery, clinical decision-making, nutrition estimation, diabetes coaching, and more.


  • Presenter Profile: Leveraging Multimodal Monitoring to Ascertain Intraindividual Diabetes Subphenotypes

    Presenter Profile: Leveraging Multimodal Monitoring to Ascertain Intraindividual Diabetes Subphenotypes

    Jessilyn Dunn, PhD, previews a presentation at the 2026 Scientific Sessions. Attendees in New Orleans can watch the session in-person Sunday, June 7, at 8:00 a.m. CT.


  • Presenter Profile: Leveraging Artificial Intelligence for Precision Medicine in Youth-Onset Type 2 Diabetes

    Presenter Profile: Leveraging Artificial Intelligence for Precision Medicine in Youth-Onset Type 2 Diabetes

    Mustafa Tosur, MD, previews a presentation at the 2026 Scientific Sessions. Attendees in New Orleans can watch the session in-person Sunday, June 7, at 8:00 a.m. CT.


  • Presenter Profile: Understanding Diabetes Heterogeneity via Mining Multimodality Interconnected Data

    Presenter Profile: Understanding Diabetes Heterogeneity via Mining Multimodality Interconnected Data

    Carl Yang, PhD, previews a presentation at the 2026 Scientific Sessions. Attendees in New Orleans can watch the session in-person Sunday, June 7, at 8:00 a.m. CT.