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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| 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
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| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1559459/full |
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