Data-driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology.

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Title: Data-driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology.
Authors: Shahidehpour RK; Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.; Department of Neuroscience, University of Kentucky, Lexington, Kentucky, USA., Neltner AM; Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA., Klusty MA; Institute for Biomedical Informatics, University of Kentucky, Lexington, Kentucky, USA., Corbett C; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA., Gonzalez AD; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA., Gutman DA; Department of Pathology, Emory University School of Medicine, Atlanta, Georgia, USA., Fardo DW; Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA., Bachstetter AD; Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.; Department of Neuroscience, University of Kentucky, Lexington, Kentucky, USA.; Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, Kentucky, USA., Bumgardner C; Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA., Flanagan ME; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.; Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA., Nelson PT; Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA.; Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA.
Source: Brain pathology (Zurich, Switzerland) [Brain Pathol] 2026 Apr 26, pp. e70102. Date of Electronic Publication: 2026 Apr 26.
Publication Type: Journal Article
Journal Info: Publisher: International Society of Neuropathology Country of Publication: Switzerland NLM ID: 9216781 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1750-3639 (Electronic) Linking ISSN: 10156305 NLM ISO Abbreviation: Brain Pathol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1750-3639
DOI:10.1111/bpa.70102