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Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease

The heterogeneity of Alzheimer’s disease contributes to the high failure rate of prior clinical trials. We analyzed 5-year longitudinal outcomes and biomarker data from 562 subjects with mild cognitive impairment (MCI) from two national studies (ADNI) using a novel multilayer clustering algorithm. T...

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Bibliografske podrobnosti
izdano v:Sci Rep
Main Authors: Gamberger, Dragan, Lavrač, Nada, Srivatsa, Shantanu, Tanzi, Rudolph E., Doraiswamy, P. Murali
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2017
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5533731/
https://ncbi.nlm.nih.gov/pubmed/28755001
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-06624-y
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