首页|Sun Yat-sen University Reports Findings in Personalized Medicine (Harnessing mac hine learning and multi-omics to explore tumor evolutionary characteristics and the role of AMOTL1 in prostate cancer)
Sun Yat-sen University Reports Findings in Personalized Medicine (Harnessing mac hine learning and multi-omics to explore tumor evolutionary characteristics and the role of AMOTL1 in prostate cancer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting or iginating from Guangdong, People’s Republic of China, by NewsRxcorrespondents, research stated, “Although recent advancements have shed light on the crucial ro le ofcoordinated evolution among cell subpopulations in influencing disease pro gression, the full potential ofthese insights has not yet been fully harnessed in the clinical application of personalized precision medicinefor prostate canc er (PCa). In this study, we utilized single-cell sequencing to identify the evol utionarycharacteristics of tumoral cell states and employed comprehensive bulk RNA sequencing to evaluate theirpotential as prognostic indicators and therapeu tic targets.”
GuangdongPeople’s Republic of ChinaA siaCancerCyborgsDrugs and TherapiesEmerging TechnologiesHealth and Med icineMachine LearningOncologyPersonalized MedicinePersonalized TherapyProstate CancerProstatic Neoplasms
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