DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning. (arXiv:2105.05758v2 [cs.LG] UPDATED)

Web: http://arxiv.org/abs/2105.05758

Drug repurposing can accelerate the identification of effective compounds for
clinical use against SARS-CoV-2, with the advantage of pre-existing clinical
safety data and an established supply chain. RNA viruses such as SARS-CoV-2
manipulate cellular pathways and induce reorganization of subcellular
structures to support their life cycle. These morphological changes can be
quantified using bioimaging techniques. In this work, we developed DEEMD: a
computational pipeline using deep neural network models within a multiple
instance learning framework, to identify putative treatments effective …

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