Data-driven identification of endophenotypes of Alzheimer’s disease progression: implications for clinical trials and therapeutic interventions

  • Nophar Geifman (Contributor)
  • Richard E. Kennedy (Creator)
  • Lon S. Schneider (Creator)
  • Iain Buchan (Creator)
  • Roberta Brinton (Creator)
  • Lon S. Schneider (Creator)

Dataset

Description

Abstract Background Given the complex and progressive nature of Alzheimer’s disease (AD), a precision medicine approach for diagnosis and treatment requires the identification of patient subgroups with biomedically distinct and actionable phenotype defi...
Date made available2018
Publisherfigshare

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