首页|Peking University Reports Findings in Machine Learning (Immune Regulation Patter ns in Response to Environmental Pollutant Chromate Exposure-Related Genetic Dama ge: A Cross-Sectional Study Applying Machine Learning Methods)
Peking University Reports Findings in Machine Learning (Immune Regulation Patter ns in Response to Environmental Pollutant Chromate Exposure-Related Genetic Dama ge: A Cross-Sectional Study Applying Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news originatingfrom Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Exposureto hexavalen t chromium damages genetic materials like DNA and chromosomes, further elevating cancerrisk, yet research rarely focuses on related immunological mechanisms, w hich play an important role inthe occurrence and development of cancer. We inve stigated the association between blood chromium(Cr) levels and genetic damage b iomarkers as well as the immune regulatory mechanism involved, such ascostimula tory molecules, in 120 workers exposed to chromates.”
BeijingPeople’s Republic of ChinaAsi aAnionsCancerChromatesChromium CompoundsCyborgsEmerging TechnologiesGeneticsHealth and MedicineMachine LearningOncologyRisk and Prevention
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