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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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Foilsithe in:Sci Rep
Main Authors: Gamberger, Dragan, Lavrač, Nada, Srivatsa, Shantanu, Tanzi, Rudolph E., Doraiswamy, P. Murali
Formáid: Artigo
Teanga:Inglês
Foilsithe: Nature Publishing Group UK 2017
Ábhair:
Rochtain Ar Líne: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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