Article

Identification of a simple and novel cut-point based CSF and MRI signature for predicting Alzheimer’s disease progression that reinforces the 2018 NIA-AA research framework

2018-10-15

Abstract excerpt

The 2018 NIA-AA research framework proposes a classification system with beta- A myloid deposition, pathologic T au, and n eurodegeneration (ATN) for the diagnosis and staging of Alzheimer’s Disease (AD). Data from the ADNI (AD neuroimaging initiative) database can be utilized to identify diagnostic signatures for predicting AD progression, and to determine the utility of this NIA-AA research framework. Profile...

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Literature Corpus work: 6ba92501-320f-5f34-9cbc-d0c026d14075
DOI: 10.1101/443325

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