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

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 definitions. METHODS: Longitudinal patient-level data for 1...

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Detalles Bibliográficos
Autores principales:	Geifman, Nophar, Kennedy, Richard E., Schneider, Lon S., Buchan, Iain, Brinton, Roberta Diaz
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389228/ https://www.ncbi.nlm.nih.gov/pubmed/29370871 http://dx.doi.org/10.1186/s13195-017-0332-0

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