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Machine learning to detect Alzheimer’s disease from circulating non-coding RNAs

2019-05-14

Abstract excerpt

<h4>Background</h4> To develop therapeutics for Alzheimer’s disease, early detection of patients awakes new hope. Circulating small non-coding RNAs are among the prominent candidates for a blood-based diagnosis, requiring however growing cohort sizes. <h4>Methods</h4> We determined abundance levels of 21 known circulating microRNAs in 465 individuals encompassing Alzheimer’s patients and controls recruited in US...

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Literature Corpus work
423a6b6f-8db0-5835-856a-ed1bee672c85
DOI
10.1101/638213
Open publication

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