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Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors

2020-03-29

Abstract excerpt

The COVID-19 pandemic demands assimilation of all available biomedical knowledge to decode its mechanisms of pathogenicity and transmission. Despite the recent renaissance in unsupervised neural networks for decoding unstructured natural languages, a platform for the real-time synthesis of the exponentially growing biomedical literature and its comprehensive triangulation with deep omic insights is not available....

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Literature Corpus work
5ce6351d-f037-5a03-8005-8eb337b792c8
DOI
10.1101/2020.03.24.005702
Open publication

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Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptorsDOI 10.1101/2020.03.24.005702
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