Predicting future cognitive impairment in preclinical Alzheimer's disease using amyloid PET and MRI: A multisite machine learning study.
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| Title: | Predicting future cognitive impairment in preclinical Alzheimer's disease using amyloid PET and MRI: A multisite machine learning study. |
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| Authors: | Yang B; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: b.y.yang@wustl.edu., Earnest T; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA., Bilgel M; Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA., Albert MS; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA., Johnson SC; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA., Davatzikos C; Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA., Erus G; Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA., Masters CL; Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia., Resnick SM; Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA., Miller MI; Center of Imaging Science and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA., Bakker A; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA., Morris JC; Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA., Benzinger TLS; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA., Gordon BA; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA., Sotiras A; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA. Electronic address: aristeidis.sotiras@pennmedicine.upenn.edu. |
| Corporate Authors: | Alzheimer’s Disease Neuroimaging Initiative, Preclinical Alzheimer’s Disease Consortium |
| Source: | Neurobiology of aging [Neurobiol Aging] 2026 Sep; Vol. 165, pp. 8-23. Date of Electronic Publication: 2026 Apr 19. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 8100437 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-1497 (Electronic) Linking ISSN: 01974580 NLM ISO Abbreviation: Neurobiol Aging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42033998 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting future cognitive impairment in preclinical Alzheimer's disease using amyloid PET and MRI: A multisite machine learning study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yang+B%22">Yang B</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: b.y.yang@wustl.edu.<br /><searchLink fieldCode="AU" term="%22Earnest+T%22">Earnest T</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Bilgel+M%22">Bilgel M</searchLink>; Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.<br /><searchLink fieldCode="AU" term="%22Albert+MS%22">Albert MS</searchLink>; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.<br /><searchLink fieldCode="AU" term="%22Johnson+SC%22">Johnson SC</searchLink>; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA.<br /><searchLink fieldCode="AU" term="%22Davatzikos+C%22">Davatzikos C</searchLink>; Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.<br /><searchLink fieldCode="AU" term="%22Erus+G%22">Erus G</searchLink>; Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.<br /><searchLink fieldCode="AU" term="%22Masters+CL%22">Masters CL</searchLink>; Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia.<br /><searchLink fieldCode="AU" term="%22Resnick+SM%22">Resnick SM</searchLink>; Laboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.<br /><searchLink fieldCode="AU" term="%22Miller+MI%22">Miller MI</searchLink>; Center of Imaging Science and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.<br /><searchLink fieldCode="AU" term="%22Bakker+A%22">Bakker A</searchLink>; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.<br /><searchLink fieldCode="AU" term="%22Morris+JC%22">Morris JC</searchLink>; Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Benzinger+TLS%22">Benzinger TLS</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Gordon+BA%22">Gordon BA</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.<br /><searchLink fieldCode="AU" term="%22Sotiras+A%22">Sotiras A</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA. Electronic address: aristeidis.sotiras@pennmedicine.upenn.edu. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22Alzheimer%27s+Disease+Neuroimaging+Initiative%22">Alzheimer’s Disease Neuroimaging Initiative</searchLink><br /><searchLink fieldCode="CA" term="%22Preclinical+Alzheimer%27s+Disease+Consortium%22">Preclinical Alzheimer’s Disease Consortium</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228100437%22">Neurobiology of aging</searchLink> [Neurobiol Aging] 2026 Sep; Vol. 165, pp. 8-23. <i>Date of Electronic Publication: </i>2026 Apr 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8100437 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1558-1497 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201974580%22">01974580 </searchLink><i>NLM ISO Abbreviation: </i>Neurobiol Aging <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42033998 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.neurobiolaging.2026.04.005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 8 Titles: – TitleFull: Predicting future cognitive impairment in preclinical Alzheimer's disease using amyloid PET and MRI: A multisite machine learning study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang B – PersonEntity: Name: NameFull: Earnest T – PersonEntity: Name: NameFull: Bilgel M – PersonEntity: Name: NameFull: Albert MS – PersonEntity: Name: NameFull: Johnson SC – PersonEntity: Name: NameFull: Davatzikos C – PersonEntity: Name: NameFull: Erus G – PersonEntity: Name: NameFull: Masters CL – PersonEntity: Name: NameFull: Resnick SM – PersonEntity: Name: NameFull: Miller MI – PersonEntity: Name: NameFull: Bakker A – PersonEntity: Name: NameFull: Morris JC – PersonEntity: Name: NameFull: Benzinger TLS – PersonEntity: Name: NameFull: Gordon BA – PersonEntity: Name: NameFull: Sotiras A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2026 Sep Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1558-1497 Numbering: – Type: volume Value: 165 Titles: – TitleFull: Neurobiology of aging Type: main |
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