Human genetics and real‐world patient data fuel target and drug discovery in Alzheimer's disease using Artificial Intelligence
Combining genetics and real-world patient data via AI/ML technologies identifies potential therapeutic targets and medicines for AD. Further functional and clinical validation of candidate targets and drugs in ethnically diverse population are warranted.
Authors
- Yuan Hou (ORCID: https://orcid.org/0000-0002-3900-6122)
- Andrew A. Pieper
- Feixiong Cheng
- Jonathan L Haines
- Jeffrey L. Cummings
Institutions
- Cleveland Clinic (US)
- University of Nevada, Las Vegas (US)
- Lou Ruvo Brain Institute (US)
- University Hospitals Cleveland Medical Center (US)
- Louis Stokes Cleveland VA Medical Center (US)
- University School (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_101947
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00