A supervised machine learning approach to predicting plasma biomarkers of Alzheimer's disease among diverse Hispanic/Latino adults: Findings from the SOL‐INCA study
Predictors of p-tau-181 in middle-aged and older Hispanic/Latino adults include multiple life-course factors. While these findings highlight the complexity of targeting and modifying disease risk in this population, the findings on the top predictors offer specific areas of focus including cardiometabolic risk and social determinants. Follow-up work will replicate and validate these models focusing on distal and proximal measurements of p-tau and changes in levels and will expand our findings to other BBMs of AD neuropathologic change.
Authors
- Freddie Márquez (ORCID: https://orcid.org/0000-0001-9916-9225)
- Melissa Lamar (ORCID: https://orcid.org/0000-0001-6130-5543)
- Humberto Parada (ORCID: https://orcid.org/0000-0001-6562-8577)
- H. Gonzalez
- Sayaka Kuwayama (ORCID: https://orcid.org/0009-0007-1526-1747)
- Paola Filigrana (ORCID: https://orcid.org/0000-0002-8297-3943)
- Ariana M. Stickel (ORCID: https://orcid.org/0000-0002-6312-2377)
- Kevin A. González (ORCID: https://orcid.org/0000-0002-8958-3884)
- Linda C Gallo
- Natasha Z. Anita
- Wassim Tarraf
- Carmen R Isasi
- Martha L Daviglus
Institutions
- Rush University Medical Center (US)
- Albert Einstein College of Medicine (US)
- Wayne State University (US)
- San Diego State University (US)
- University of California San Diego (US)
- University of Illinois Chicago (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70860_105290
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00