首页|South China University of Technology Reports Findings in Breast Cancer (Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response)
South China University of Technology Reports Findings in Breast Cancer (Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response)
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Springer Nature
New research on Oncology - Breast Cancer is the subject of a report. According to news reporting from Guangzhou, People's Republic of China, by NewsRx journalists, research stated, “Since breast cancer patients respond diversely to immunotherapy, there is an urgent need to explore novel biomarkers to precisely predict clinical responses and 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.” Funders for this research include Key-Area Research and Development Program of Guangdong Province, Regional Innovation and Development Joint Fund of National Natural Science Foundation of China, National Natural Science Foundation of China, Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, High-level Hospital Construction Project.
GuangzhouPeople's Republic of ChinaAsiaBiomarkersBreast CancerCancerCyborgsDiagnostics and ScreeningDrugs and TherapiesEmerging TechnologiesGeneticsHealth and MedicineImmunotherapyMachine LearningOncologyWomen's Health
NETL
NSTL
Springer Nature
