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Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke

30 Nov 2016

Abstract excerpt

Abstract Early and accurate diagnosis of stroke improves the probability of positive outcome. The objective of this study was to identify a pattern of gene expression in peripheral blood that could potentially be optimised to expedite the diagnosis of acute ischaemic stroke (AIS). A discovery cohort was recruited consisting of 39 AIS patients and 24 neurologically asymptomatic controls. Peripheral blood was...

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PMID: 29263821
DOI: 10.1038/npjgenmed.2016.38

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