Development and validation of machine learning models with blood-based digital biomarkers for Alzheimer’s disease diagnosis: a multicohort diagnostic studyResearch in context

Development and validation of machine learning models with blood-based digital biomarkers for Alzheimer’s disease diagnosis: a multicohort diagnostic studyResearch in context

Summary: Background: Alzheimer’s disease (AD) involves complex alterations in biological pathways, making comprehensive blood biomarkers crucial for accurate and earlier diagnosis. However, the cost-effectiveness and operational complexity of method using blood-based biomarkers significantly limit...

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Bibliographic Details
Main Authors: Bin Jiao, Ziyu Ouyang, Xuewen Xiao, Cong Zhang, Tianyan Xu, Qijie Yang, Yuan Zhu, Yiliang Liu, Xixi Liu, Yafang Zhou, Xinxin Liao, Shilin Luo, Beisha Tang, Zhigang Li, Lu Shen
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:EClinicalMedicine
Subjects:
Blood-based digital biomarkers
Alzheimer’s disease
Machine learning
Diagnosis
Spectroscopy
Neurodegenerative diseases
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025000744

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http://www.sciencedirect.com/science/article/pii/S2589537025000744

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