Deep learning-powered quantification of endocrine cells and CD3+ T cells in the natural history of type 1 diabetes.

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Bibliographic Details
Title: Deep learning-powered quantification of endocrine cells and CD3+ T cells in the natural history of type 1 diabetes.
Authors: Kang S; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA., Maya N; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA., Morillo M; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA., Outar M; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA., Posgai AL; Department of Pathology, Immunology, and Laboratory Medicine, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL, USA., Lamb DG; Departments of Psychiatry, McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA.; Department of Neuroscience, McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA.; Brain Rehabilitation Research Center, Malcom Randall VAMC, Gainesville, FL, USA., Campbell-Thompson M; Department of Pathology, Immunology, and Laboratory Medicine, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL, USA. mct@ufl.edu., Kim S; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA. sarahkim@cop.ufl.edu.
Source: Diabetologia [Diabetologia] 2026 Aug; Vol. 69 (8), pp. 2282-2293. Date of Electronic Publication: 2026 May 07.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 0006777 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0428 (Electronic) Linking ISSN: 0012186X NLM ISO Abbreviation: Diabetologia Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-0428
DOI:10.1007/s00125-026-06742-1