首页|First Affiliated Hospital of Sun Yat-sen University Reports Findings in Carcinom as (Machine learning-derived natural killer cell signature predicts prognosis an d therapeutic response in clear cell renal cell carcinoma)
First Affiliated Hospital of Sun Yat-sen University Reports Findings in Carcinom as (Machine learning-derived natural killer cell signature predicts prognosis an d therapeutic response in clear cell renal cell carcinoma)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Carcinomas is the subject of a report. According to newsreporting originating in Guangzhou , People’s Republic of China, by NewsRx journalists, research stated,“Natural k iller cells, interconnected with patient prognosis and treatment response, play a pivotal role inthe tumor immune microenvironment and may serve as potential n ovel predictive biomarkers for renal cellcarcinoma. Clear cell renal cell carci noma transcriptome data and the corresponding clinical data wereobtained from t he Cancer Genome Atlas (TCGA) database.”
GuangzhouPeople’s Republic of ChinaA siaBlood CellsCancerCarcinomasCyborgsDrugs and TherapiesEmerging Tec hnologiesGeneticsHealth and MedicineHemic and Immune SystemsImmunologyImmunotherapyKidneyLeukocytesLymphocytesMachine LearningNatural Killer CellsNephrologyOncology
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