Predicting brain health in community-dwelling elderly populations by integrating Gaussian mixture model and plasma biomarkers

Our study indicated that the combination of GMM and plasma biomarkers for community screening shows promising potential in monitoring brain health among older adults without dementia. P-tau217 exhibited the best predictive value among the three plasma biomarkers.

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Publication Details

Journal
Journal of Alzheimer s Disease Reports
Published
2025-06-24
DOI
https://doi.org/10.1177/25424823251331110
Citations
1
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
1.47

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article

Predicting brain health in community-dwelling elderly populations by integrating Gaussian mixture model and plasma biomarkers

T. J. Zhu, Zhiming Lu, Yue Wang, Qian Cheng et al.
1 citations
Journal of Alzheimer s Disease Reports
Dementia and Cognitive Impairment Research
1.47
article

Predicting brain health in community-dwelling elderly populations by integrating Gaussian mixture model and plasma biomarkers

T. J. Zhu, Zhiming Lu, Yue Wang, Qian Cheng, Pengfei Zhang, Xiaolin Cui
article en
1 citations

Abstract

Our study indicated that the combination of GMM and plasma biomarkers for community screening shows promising potential in monitoring brain health among older adults without dementia. P-tau217 exhibited the best predictive value among the three plasma biomarkers.

Journal of Alzheimer s Disease ReportsVol. 9
Shandong University (CN), Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 18%
Dementia and Cognitive Impairment Research
1.47
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Predicting brain health in community-dwelling elderly populations by integrating Gaussian mixture model and plasma biomarkers — T. J. Zhu, Zhiming Lu, et al. · Journal of Alzheimer s Disease Reports (2025) | TGRS Research Map | TGRS