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...

Descripción completa

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

Internet

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

Ejemplares similares