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A deep-learning model based on histological images predicts survival and pathological response to neoadjuvant chemotherapy and chemoimmunotherapy in breast cancer

2026-08-03

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Accurate biomarkers for prognosis and selection of patients most likely to benefit from neoadjuvant chemoimmunotherapy in early breast cancer (eBC) are urgently needed. The Immune Constant of Rejection (ICR) gene expression signature, a 20-gene signature reflecting cytotoxic immune activation, is associated with favorable prognosis and pathological complete re...

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Literature Corpus work
6cb4291b-ea33-51d7-b562-f37e7a46ba2b
DOI
10.21203/rs.3.rs-10472973/v1
Open publication

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A deep-learning model based on histological images predicts survival and pathological response to neoadjuvant chemotherapy and chemoimmunotherapy in breast cancerDOI 10.21203/rs.3.rs-10472973/v1
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