首页|Plastic Surgery Hospital Reports Findings in Cancer (Exploring the NRF2-TP53 Sig naling Network Through Machine Learning and Pan-Cancer Analysis: Identifying Pot ential targets for Cancer Prognosis Related to Oxidative Stress)
Plastic Surgery Hospital Reports Findings in Cancer (Exploring the NRF2-TP53 Sig naling Network Through Machine Learning and Pan-Cancer Analysis: Identifying Pot ential targets for Cancer Prognosis Related to Oxidative Stress)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reporting out ofBeijing, People’s Republic of Ch ina, by NewsRx editors, research stated, “Oxidative stress (OXS) is closelyrela ted to tumor prognosis and immune response, while TP53 integrated with NRF2 is c losely associatedwith the regulation of cancer-related OXS. Hence, constructing a TP53-NRF2 integrated OXS signatureof pan-cancer is essential in predicting s urvival prognosis and facilitating cancer drug treatment.”
BeijingPeople’s Republic of ChinaAsi aCancerCyborgsDrugs and TherapiesEmerging TechnologiesGeneticsHealth and MedicineMachine LearningOncology
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