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

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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
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  Data: Deep learning-powered quantification of endocrine cells and CD3<superscript>+</superscript> T cells in the natural history of type 1 diabetes.
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  Data: <searchLink fieldCode="AU" term="%22Kang+S%22">Kang S</searchLink>; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA.<br /><searchLink fieldCode="AU" term="%22Maya+N%22">Maya N</searchLink>; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA.<br /><searchLink fieldCode="AU" term="%22Morillo+M%22">Morillo M</searchLink>; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA.<br /><searchLink fieldCode="AU" term="%22Outar+M%22">Outar M</searchLink>; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, Intelligent Critical Care Center, College of Pharmacy, University of Florida, Orlando, FL, USA.<br /><searchLink fieldCode="AU" term="%22Posgai+AL%22">Posgai AL</searchLink>; Department of Pathology, Immunology, and Laboratory Medicine, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL, USA.<br /><searchLink fieldCode="AU" term="%22Lamb+DG%22">Lamb DG</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Campbell-Thompson+M%22">Campbell-Thompson M</searchLink>; Department of Pathology, Immunology, and Laboratory Medicine, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL, USA. mct@ufl.edu.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; 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.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>0006777 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-0428 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220012186X%22">0012186X </searchLink><i>NLM ISO Abbreviation: </i>Diabetologia <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00125-026-06742-1
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              Text: 2026 Aug
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