Article

Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response

2023-07-03

Abstract excerpt

<h4>Backgrounds: </h4>: Since breast cancer patients respond diversely to immunotherapy, exploration of novel biomarkers for precisely predicting clinical response are urgently required to enhance therapeutic efficacy. The purpose of our present research was to construct and independently validate a biomarker of tumor microenvironment (TME) phenotypes via a machine learning-based radiomics way. The interrelations...

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Literature Corpus work: 6b1b9839-bd2a-5604-8285-0f6deba9e5d9
DOI: 10.21203/rs.3.rs-3104002/v1

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