Development of Simple Risk Scores for Prediction of Brain β-Amyloid and Tau Status in Older Adults With Mild Cognitive Impairment: A Machine Learning Approach
Simple integer-based risk scores using available data could be used for predicting Aβ and tau positivity in individuals with MCI. Models have the potential to improve clinical trials through improved screening of individuals.
Authors
- Ali Ezzati (ORCID: https://orcid.org/0000-0003-1307-4589)
- Ilya M. Nasrallah (ORCID: https://orcid.org/0000-0003-2346-7562)
- Danielle Harvey (ORCID: https://orcid.org/0000-0002-5367-0951)
- Ellen Grober (ORCID: https://orcid.org/0000-0001-7998-5778)
- Christos A. Davatzikos (ORCID: https://orcid.org/0000-0002-1025-8561)
- Bhargav Teja Nallapu (ORCID: https://orcid.org/0000-0001-6368-8509)
- Kellen K. Petersen (ORCID: https://orcid.org/0000-0003-3195-3456)
- Richard Lipton
Institutions
- Albert Einstein College of Medicine (US)
- University of California, Irvine (US)
- Washington University in St. Louis (US)
- Laboratoire d’Imagerie Biomédicale (FR)
- University of Pennsylvania (US)
- University of California, Davis (US)
Publication Details
- Journal
- The Journals of Gerontology Series B
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1093/geronb/gbaf085
- Citations
- 1
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.47
Funders
- Foundation for the National Institutes of Health
- Alzheimer's Association
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer
- Roche
- Biogen
- AbbVie
- Cure Alzheimer's Fund
- BioClinica
- Novartis Pharmaceuticals Corporation
- Takeda Pharmaceutical Company
- Northern California Institute for Research and Education
- Servier
- Fujikura Foundation
- IXICO
- National Institutes of Health
- Genentech
- GE Healthcare
- Canadian Institutes of Health Research
- Eisai Incorporated
- National Institute on Aging
- National Institute of Biomedical Imaging and Bioengineering
- DoD Alzheimer's Disease Neuroimaging Initiative