NIA Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) AI‐Enhanced Search
Introducing AI-enhanced search creates an interactive opportunity for NIAGADS users to learn new information or discover resources and tools they can use to supplement their research, which, in turn, improves NIAGADS ability to support AD genetics research.
Authors
- Wan‐Ping Lee (ORCID: https://orcid.org/0000-0002-5305-1181)
- Otto Valladares (ORCID: https://orcid.org/0000-0001-8055-2187)
- Pavel P. Kuksa (ORCID: https://orcid.org/0000-0003-2248-6403)
- Yuk Yee Leung (ORCID: https://orcid.org/0000-0002-3047-5440)
- Li‐San Wang (ORCID: https://orcid.org/0000-0002-3684-0031)
- Amanda B Kuzma (ORCID: https://orcid.org/0000-0002-6064-5420)
- Prabhakaran Gangadharan
- Emily Greenfest‐Allen (ORCID: https://orcid.org/0000-0002-7294-8461)
- Heather White
Institutions
- Institute on Aging (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.092685
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00