Development and validation of speech‐based biomarkers for measuring clinical progression in AD clinical trials
Speech characteristics can be combined into meaningful indices of disease progression across the spectrum of MCI to moderate AD. All three composites performed well overall. The best performing composite was our previously published Tauriel derived biomarker, which had the largest effect size of change, highest test-retest reliability, and was also the most parsimonious measure with the fewest features. These results highlight the potential utility of a speech-based biomarker as an objective and low-burden measure of clinical progression to complement traditional endpoints in AD clinical trials.
Authors
- Somaye Hashemifar (ORCID: https://orcid.org/0000-0001-9554-8519)
- Michael J. Spilka (ORCID: https://orcid.org/0000-0002-8958-5468)
- William Simpson (ORCID: https://orcid.org/0000-0003-1671-5660)
- Rainier Amora (ORCID: https://orcid.org/0000-0001-8580-1859)
- Edmond Teng (ORCID: https://orcid.org/0000-0002-1375-857X)
- Jessica Robin (ORCID: https://orcid.org/0000-0003-4153-2655)
- Cecilia Monteiro
- Mengdan Xu
- Balazs Toth
Institutions
- Cambridge Cognition (United Kingdom) (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_103297
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00