Development and validation of language as an endpoint in Alzheimer’s Disease clinical trials
Collectively, these studies indicate that speech and language can detect disease, align with severity and track clinical changes over time. While additional characteristics, including cross-language performance, speech source optimization and precise evaluations of patient relevance are required, speech based digital biomarkers are a promising advance in the measurement of AD.
Authors
- Michael J. Spilka (ORCID: https://orcid.org/0000-0002-8958-5468)
- William Simpson (ORCID: https://orcid.org/0000-0003-1671-5660)
- Jessica Robin (ORCID: https://orcid.org/0000-0003-4153-2655)
- Mengdan Xu (ORCID: https://orcid.org/0000-0001-9347-0770)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.087306
- Primary Topic
- Interpreting and Communication in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00