Significance of plasma biomarkers in predicting long‐term dementia risk in community dwellings: insights from machine learning approaches
Zhenxu Xiao, Xiaowen Zhou, Qianhua Zhao, Yang Cao, Ding Ding · 2025
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Description
Zhenxu Xiao and co-authors published this study in two thousand twenty-five on blood tests that may flag future dementia in people living at home. It is still unclear how well blood markers work in the general public, outside clinics.
The team followed more than eighteen hundred older adults without dementia for up to ten years. They fed ninety starting measures into machine learning tools and let the tools pick the ones that mattered most. Age, thinking test scores, and two blood markers, p-tau217 and neurofilament light chain, came out on top in every model. The models sorted future cases from non-cases with fair to strong accuracy. The authors say these cheap measures could help find high-risk people where funds are tight.
Catalog record
| CREATOR | Zhenxu Xiao, Xiaowen Zhou, Qianhua Zhao, Yang Cao, Ding Ding |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |