Profiling and predicting distinct tau progression patterns: An unsupervised data-driven approach to flortaucipir positron emission tomography.

Duygu TosunPamela ThroppSudeepti SouthekalBruce SpottiswoodeRachid Fahminull null

Published in: Alzheimer's & dementia : the journal of the Alzheimer's Association (2023)

Predicting tau progression with baseline imaging and clinical markers could allow screening of high-risk individuals most likely to benefit from a specific treatment regimen.

Keyphrases

positron emission tomography
computed tomography
cerebrospinal fluid
machine learning
pet imaging
high resolution
pet ct
single cell
combination therapy
replacement therapy