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Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer

2023-08-18

Abstract excerpt

<h4>Background: </h4> Pathological complete response (pCR) is associated with favorable prognosis in patients with triple-negative breast cancer (TNBC). However, only 30–40% of TNBC patients treated with neoadjuvant chemotherapy (NAC) show pCR, while the remaining 60–70% show residual disease (RD). The role of the tumor microenvironment (TME) in NAC response in patients with TNBC remains unclear. In this study, we...

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Literature Corpus work
a2bdf008-577f-5dba-a070-799cc1a4c12e
DOI
10.21203/rs.3.rs-3243195/v1
Open publication

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Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancerDOI 10.21203/rs.3.rs-3243195/v1
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