Article

Deep learning can predict multi-omic biomarkers from routine pathology images: A systematic large-scale study

2022-01-23

Abstract excerpt

We assessed the pan-cancer predictability of multi-omic biomarkers from haematoxylin and eosin (H&E)-stained whole slide images (WSI) using deep learning (DL) throughout a systematic study. A total of 13,443 DL models predicting 4,481 multi-omic biomarkers across 32 cancer types were trained and validated. The investigated biomarkers included a broad range of genetic, transcriptomic, proteomic, and metabolic alter...

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Literature Corpus work: 2ca0d0c9-88e1-51fa-b128-3f89ecd2d161
DOI: 10.1101/2022.01.21.477189

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