Article

Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer

2025-08-27

Abstract excerpt

Deep learning models applied to digital histology can predict gene expression signatures (GES) and offer a low-cost, rapidly available alternative to molecular testing at the time of diagnosis. We optimized transformer-based models to infer GES results and applied this approach to pre-treatment H&E-stained biopsies from 1,940 breast cancer patients treated with neoadjuvant chemotherapy in clinical trial and real-w...

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Literature Corpus work: 44011cdd-3841-5fc3-92e0-a41e6636e5ba
DOI: 10.1101/2025.08.25.25334393

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