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...
Geifman, N. (Contributor), Kennedy, R. E. (Creator), Schneider, L. S. (Creator), Buchan, I. (Creator), Brinton, R. D. (Creator), Schneider, L. (Creator) (2018). Data-driven identification of endophenotypes of Alzheimer’s disease progression: implications for clinical trials and therapeutic interventions. figshare. 10.6084/m9.figshare.c.3987804