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Machine learning enabled prediction of digital biomarkers from whole slide histopathology images

2024-01-08

Abstract excerpt

Current predictive biomarkers generally leverage technologies such as immunohis-tochemistry or genetic analysis, which may require specialized equipment, be time-intensive to deploy, or incur human error. In this paper, we present an alternative approach for the development and deployment of a class of predictive biomarkers, leveraging deep learning on digital images of hematoxylin and eosin (H&E)-stained biopsy s...

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Identifiers and source

Literature Corpus work
391b895e-e4ef-57b5-9ab7-04d6e0383b1f
DOI
10.1101/2024.01.06.24300926
Open publication

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Machine learning enabled prediction of digital biomarkers from whole slide histopathology imagesDOI 10.1101/2024.01.06.24300926
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