Speech digital biomarker combined with fluid biomarkers predict cognitive impairment through machine learning
Combining speech digital markers with serum and other biomarkers helps identify CI, representing a promising advance in AD detection. This study serves as a preliminary yet encouraging step toward applying speech digital biomarkers in AD diagnostics.
Authors
- Xinyi Xie
- Nan Zhi
- Wenwei Cao (ORCID: https://orcid.org/0009-0009-0526-9926)
- Yaying Song (ORCID: https://orcid.org/0000-0002-3154-1235)
- Gang Wang (ORCID: https://orcid.org/0000-0001-6500-5863)
- Jianping Li (ORCID: https://orcid.org/0000-0002-4859-1677)
- Jintao Wang (ORCID: https://orcid.org/0000-0003-4315-7545)
- Haixia Li (ORCID: https://orcid.org/0000-0002-8442-071X)
- Gang Xu (ORCID: https://orcid.org/0000-0003-3438-4842)
- Jieli Geng (ORCID: https://orcid.org/0009-0004-0096-3402)
- Jiao Xiao
- Ru‐Jing Ren
Institutions
- Shanghai Jiao Tong University (CN)
- Renji Hospital (CN)
- Ruijin Hospital (CN)
Publication Details
- Journal
- Alzheimer s Research & Therapy
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s13195-025-01877-6
- Citations
- 2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 2.94
Funders
- Ministry of Science and Technology of the People's Republic of China
- East China University of Science and Technology