Unleashing the Power of Digital Voice for Early Symptom Detection for Alzheimer's Disease and Related Dementias
The GRIP v1 release of dVoice processing tools are sufficiently robust to be used on recordings with varying levels of fidelity. The availability of these tools facilitates studies using voice recordings to explore their utility for measuring cognitive and behavioral symptoms of early AD/ADRD, including during the preclinical stage.
Authors
- Vijaya B. Kolachalama (ORCID: https://orcid.org/0000-0002-5312-8644)
- Rhoda Au (ORCID: https://orcid.org/0000-0001-7742-4491)
- Saurabhchand Bhati (ORCID: https://orcid.org/0000-0001-6477-3895)
- Cody Karjadi (ORCID: https://orcid.org/0000-0001-9199-8723)
- Lampros Kourtis (ORCID: https://orcid.org/0000-0003-1332-0655)
- Meysam Ahangaran (ORCID: https://orcid.org/0000-0002-9326-4800)
- Ian Y. Wong (ORCID: https://orcid.org/0000-0002-9439-2548)
- Philip Joung
- Edward Searls
- James Glass (ORCID: https://orcid.org/0000-0002-3097-360X)
- Vijay Sureshkumar
- Mahdi Khemakhem
- Julia Peterson
- Marisa Long
- Liming Wang
- Xavier Serrano
Institutions
- Gates (United States) (US)
- Boston University (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_101171
- Primary Topic
- Voice and Speech Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00