Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals

Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals

Abstract Background The pathophysiology of Alzheimer’s disease (AD) involves $$\beta$$ β -amyloid (A $$\beta$$ β ) accumulation. Early identification of individuals with abnormal $$\beta$$ β -amyloid levels is crucial, but A $$\beta$$ β quantification with positron emission tomography (PET) and cere...

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Bibliographic Details
Main Authors: Elaheh Moradi, Mithilesh Prakash, Anette Hall, Alina Solomon, Bryan Strange, Jussi Tohka, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Alzheimer’s Research & Therapy
Subjects:
Machine learning
Amyloid beta
Conversion prediction
Alzheimer’s disease
Mild cognitive impairment
Online Access:https://doi.org/10.1186/s13195-024-01415-w

Internet

https://doi.org/10.1186/s13195-024-01415-w

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