Article

Impact of a machine learning-powered algorithm on pathologist HER2 IHC scoring in breast cancer

2025-02-05

Abstract excerpt

<h4>Background</h4> HER2 expression level is a key factor in determining the optimal treatment course for breast cancer patients. Roughly 15% of breast cancers are HER2(+), and determination of HER2 status is routinely assessed by immunohistochemistry (IHC). Accurate assessment of the HER2 IHC score by pathologists is therefore critical, especially in light of novel therapeutic approaches demonstrating efficacy in...

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Literature Corpus work: e3d7cc7b-b648-589e-863f-9329fd7e865a
DOI: 10.1101/2025.02.04.25321335

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