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Predicting categorical and continuous Alzheimer's disease outcomes from a single MRI scan.

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Title: Predicting categorical and continuous Alzheimer's disease outcomes from a single MRI scan.
Authors: Ma D; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA. daren.ma@ucsf.edu., Pabalan C; Data Institute, University of San Francisco, San Francsico, CA, USA., Rajagopal A; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Akanksha A; Data Institute, University of San Francisco, San Francsico, CA, USA., Interian Y; Data Institute, University of San Francisco, San Francsico, CA, USA., Yang Y; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA. yang.yang4@ucsf.edu., Raj A; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA. ashish.raj@ucsf.edu.; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, USA. ashish.raj@ucsf.edu.
Source: Nature aging [Nat Aging] 2026 May; Vol. 6 (5), pp. 1121-1137. Date of Electronic Publication: 2026 May 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group US Country of Publication: United States NLM ID: 101773306 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-8465 (Electronic) Linking ISSN: 26628465 NLM ISO Abbreviation: Nat Aging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ma+D%22">Ma D</searchLink>; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA. daren.ma@ucsf.edu.<br /><searchLink fieldCode="AU" term="%22Pabalan+C%22">Pabalan C</searchLink>; Data Institute, University of San Francisco, San Francsico, CA, USA.<br /><searchLink fieldCode="AU" term="%22Rajagopal+A%22">Rajagopal A</searchLink>; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Akanksha+A%22">Akanksha A</searchLink>; Data Institute, University of San Francisco, San Francsico, CA, USA.<br /><searchLink fieldCode="AU" term="%22Interian+Y%22">Interian Y</searchLink>; Data Institute, University of San Francisco, San Francsico, CA, USA.<br /><searchLink fieldCode="AU" term="%22Yang+Y%22">Yang Y</searchLink>; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA. yang.yang4@ucsf.edu.<br /><searchLink fieldCode="AU" term="%22Raj+A%22">Raj A</searchLink>; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA. ashish.raj@ucsf.edu.; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, USA. ashish.raj@ucsf.edu.
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  Data: <searchLink fieldCode="JN" term="%22101773306%22">Nature aging</searchLink> [Nat Aging] 2026 May; Vol. 6 (5), pp. 1121-1137. <i>Date of Electronic Publication: </i>2026 May 18.
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              Text: 2026 May
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