Application of machine learning to blood-based biomarkers of Alzheimer's disease in Down syndrome

Authors

• Patrick H Luckett, Washington University School of Medicine in St. Louis
• Melissa Petersen, University of North Texas Health Science Center at Fort Worth
• Sid O'Bryant, University of North Texas Health Science Center at Fort Worth
• Mark Mapstone, University of California Irvine
• Brad T Christian, University of Wisconsin-Madison
• Benjamin Handen, University of Pittsburgh
• Elizabeth Head, University of California Irvine
• Beau M Ances, Washington University School of Medicine in St. Louis
• Alzheimer's Biomarker Consortium‐Down Syndrome

Journal

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

Publication Date

1-1-2026

Volume

18

Issue

2

First Page

e70325

Document Type

Open Access Publication

DOI

10.1002/dad2.70325

Rights and Permissions

Luckett PH, Petersen M, O'Bryant S, et al. Application of machine learning to blood-based biomarkers of Alzheimer's disease in Down syndrome. Alzheimer's Dement. 2026; 18:e70325. https://doi.org/10.1002/dad2.70325 © 2026 The Author(s). Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Recommended Citation

Luckett, Patrick H; Petersen, Melissa; O'Bryant, Sid; Mapstone, Mark; Christian, Brad T; Handen, Benjamin; Head, Elizabeth; Ances, Beau M; and Alzheimer's Biomarker Consortium‐Down Syndrome, "Application of machine learning to blood-based biomarkers of Alzheimer's disease in Down syndrome." Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 18, 2. e70325 (2026).
https://digitalcommons.wustl.edu/oa_4/7206

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.