Diabetes Technology Meeting 2023Sutter Health, Santa Barbara, CA, USA.
School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
University of Nebraska Medical Center, Omaha, NE, USA.
King's College London School of Medicine, London, UK.
National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA.
Medcrypt, Inc., San Diego, CA, USA.
La Jolla Endo, LLC, La Jolla, CA, USA.
Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA.
Division of Endocrinology, Diabetes, and Metabolism, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Steno Diabetes Center Copenhagen, Herlev, Denmark.
Università di Pavia, Pavia, Italy.
University of California, San Francisco, San Francisco, CA, USA.
Baltimore VA Medical Center and School of Medicine, University of Maryland, Baltimore, MD, USA.
Baylor College of Medicine, Houston, TX, USA.
University of Canterbury, Christchurch, New Zealand.
Division of Endocrinology, Diabetes & Metabolism, Weill Cornell Medicine, New York City, NY, USA.
Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA.
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2024 (English)In: Journal of Diabetes Science and Technology, E-ISSN 1932-2968, Vol. 18, no 5, p. 1208-1244Article in journal, Editorial material (Other academic) Published
Abstract [en]
Diabetes Technology Society hosted its annual Diabetes Technology Meeting from November 1 to November 4, 2023. Meeting topics included digital health; metrics of glycemia; the integration of glucose and insulin data into the electronic health record; technologies for insulin pumps, blood glucose monitors, and continuous glucose monitors; diabetes drugs and analytes; skin physiology; regulation of diabetes devices and drugs; and data science, artificial intelligence, and machine learning. A live demonstration of a personalized carbohydrate dispenser for people with diabetes was presented.
Place, publisher, year, edition, pages
Diabetes Technology Society , 2024. Vol. 18, no 5, p. 1208-1244
Keywords [en]
Artificial intelligence, automated insulin delivery systems, continuous glucose monitoring, diabetes drugs, diabetes technology
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:oru:diva-112632DOI: 10.1177/19322968241235205ISI: 001190858000001PubMedID: 38528741Scopus ID: 2-s2.0-85189086421OAI: oai:DiVA.org:oru-112632DiVA, id: diva2:1847260
Funder
Novo Nordisk
Note
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The 2023 Diabetes Technology Meeting was supported by educational grants from Abbott, Dexcom, Embecta, Glytec, LifeScan, Medtronic, Novo Nordisk, Roche Diabetes Care, Roche Diagnostics, and Tandem.
2024-03-272024-03-272024-10-01Bibliographically approved