Deep learning can be used to predict genomic alterations on the basis of morphological features learned from digital histopathology. Two independent pan-cancer studies now show that automated learning from digital pathology slides and genomics can potentially delineate broader classes of molecular signatures and prognostic associations across cancer types.
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Coudray, N., Tsirigos, A. Deep learning links histology, molecular signatures and prognosis in cancer. Nat Cancer 1, 755–757 (2020). https://doi.org/10.1038/s43018-020-0099-2
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DOI: https://doi.org/10.1038/s43018-020-0099-2
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