Discriminating AD Biomarker Groups Based on a Digital Speech Biomarker for Cognition (SB‐C)
The SB-C demonstrates potential as a non-invasive and scalable tool for discriminating between presence and absence of AD pathology, particularly in primary care settings. By leveraging automated speech analysis, it offers a practical approach to enhance screening efficiency, reduce costs, and minimize patient burden.
Authors
- Erik Stomrud (ORCID: https://orcid.org/0000-0002-0841-5580)
- Pontus Tideman (ORCID: https://orcid.org/0000-0002-9620-7115)
- Elisa Mallick
- Anika Wuestefeld (ORCID: https://orcid.org/0000-0003-1779-3388)
- Oskar H. Hansson
- A. Konig
- Sebastian Palmqvist
- Nicklas Linz
- Johannes Tröger
Institutions
- Lund University (SE)
- Observatoire de la Côte d’Azur (FR)
- Skåne University Hospital (SE)
- Cognition Behaviour Technology (FR)
- Klinikum Saarbrücken (DE)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_097031
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00