Predicting regional tau accumulation with machine learning‐based tau‐PET and advanced radiomics

Predicting regional tau accumulation with machine learning‐based tau‐PET and advanced radiomics

Abstract INTRODUCTION Alzheimer's disease is partially characterized by the progressive accumulation of aggregated tau‐containing neurofibrillary tangles. Although the association between accumulated tau, neurodegeneration, and cognitive decline is critical for disease understanding and clinica...

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Bibliographic Details
Main Authors: Saima Rathore, Ixavier A. Higgins, Jian Wang, Ian A. Kennedy, Leonardo Iaccarino, Samantha C. Burnham, Michael J. Pontecorvo, Sergey Shcherbinin
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Alzheimer’s & Dementia: Translational Research & Clinical Interventions
Subjects:
Alzheimer's disease
adaptive prediction
artificial intelligence
flortaucipir
predictive modeling
Online Access:https://doi.org/10.1002/trc2.70005
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https://doi.org/10.1002/trc2.70005

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