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SPARE-Tau: A flortaucipir machine-learning derived early predictor of cognitive decline.

Jon B ToledoTanweer RashidHangfan LiuLenore J LaunerLeslie M ShawSusan R HeckbertMichael WeinerSudha SeshadriMohamad Habesnull null
Published in: PloS one (2022)
Flortaucipir indices showed the strongest clinical association among the studied biomarkers (flortaucipir, florbetapir, structural MRI, and CSF p-tau) and were predictive in the preclinical disease stages. Among the flortaucipir indices, the machine-learning derived SPARE-Tau index was the most sensitive clinical progression biomarker. The combination of different biomarker modalities better predicted cognitive performance.
Keyphrases
  • machine learning
  • cognitive decline
  • cerebrospinal fluid
  • mild cognitive impairment
  • magnetic resonance imaging
  • artificial intelligence
  • big data
  • stem cells
  • computed tomography
  • deep learning
  • cell therapy
  • bone marrow