Development of Machine Learning Models with Blood‐based Digital Biomarkers for Diagnosis of Alzheimer's Disease

The ATR-FTIR (Attenuated Total Reflectance-Fourier Transform Infrared) plasma spectra features can identify AD-related pathological changes. These spectral features serve as digital biomarkers, significantly aiding in the early screening and diagnosis of AD.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_099714
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of Machine Learning Models with Blood‐based Digital Biomarkers for Diagnosis of Alzheimer's Disease

Ziyu Ouyang, Bing Tang, Bin Jiao, Shilin Luo et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Development of Machine Learning Models with Blood‐based Digital Biomarkers for Diagnosis of Alzheimer's Disease

Ziyu Ouyang, Bing Tang, Bin Jiao, Shilin Luo, Zhigang Li, Lu Shen
article en

Abstract

The ATR-FTIR (Attenuated Total Reflectance-Fourier Transform Infrared) plasma spectra features can identify AD-related pathological changes. These spectral features serve as digital biomarkers, significantly aiding in the early screening and diagnosis of AD.

Alzheimer s & DementiaVol. 21(S2)
Central South University (CN), Xiangya Hospital Central South University (CN), Northeastern University (CN)
Reduced inequalities
Openalex Percentile: Top 34%
Dementia and Cognitive Impairment Research
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