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Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer

29 Jun 2022

Abstract excerpt

Triple-negative breast cancer (TNBC) is the most challenging breast cancer subtype. Molecular stratification and target therapy bring clinical benefit for TNBC patients, but it is difficult to implement comprehensive molecular testing in clinical practice. Here, using our multi-omics TNBC cohort (N=425), a deep learning-based framework was devised and validated for comprehensive predictions of molecular features,...

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PMID: 38933195
DOI: 10.1016/j.fmre.2022.06.008

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