Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning

Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning

BackgroundAlzheimer's disease (AD) greatly affects the daily functioning and life quality of patients and is prevalent in the elderly population. Amyloid-β (Aβ) accumulation in the brain is the main hallmark of AD pathophysiology. Positron Emission Tomography (PET) imaging is the most accurate...

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Bibliographic Details
Main Authors: Jiayuan Xu, Andrew J. Doig, Sofia Michopoulou, Petroula Proitsi, Fumie Costen, The Alzheimer's disease neuroimaging initiative
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Aging Neuroscience
Subjects:
Alzheimer's disease
Aβ PET
plasma biomarkers
machine learning classification algorithm
feature selection
feature matching
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2025.1559459/full
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https://www.frontiersin.org/articles/10.3389/fnagi.2025.1559459/full

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