Dataset Information

Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.

ABSTRACT: Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. A major contributing factor to this phenomenon is the failure of traditional in vitro models of drug response to accurately mimic many of the more complex properties of human biology. We have recently introduced a new microphysiological system for growing vascularized, perfused microtissues that more accurately models human physiology and is suitable for large drug screens. In this work, we develop a machine learning model that can quickly and accurately flag compounds which effectively disrupt vascular networks from images taken before and after drug application in vitro. The system is based on a convolutional neural network and achieves near perfect accuracy while committing potentially no expensive false negatives.

SUBMITTER: Urban G

PROVIDER: S-EPMC7904235 | biostudies-literature | 2019 May-Jun

REPOSITORIES: biostudies-literature

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Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.

Urban Gregor G Bache Kevin M KM Phan Duc D Sobrino Agua A Shmakov Alexander Konstantinovich AK Hachey Stephanie J SJ Hughes Chris C Baldi Pierre P

IEEE/ACM transactions on computational biology and bioinformatics 20180529 3

Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. A major contributing factor to this phenomenon is the failure of traditional in vitro models of drug response to accurately mimic many of the more complex properties of human biology. We have recently introduced a new microphysiological system for growing vascularized, perfused microtissues that more accurately models human physiolog ...[more]

PMID: 29993583

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Dataset Information

Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.

Publications

Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images.

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