首页|Collaborative Innovation Center for Cancer Medicine Reports Findings in Personal ized Medicine (Integrative multi-omics and machine learning approach reveals tum or microenvironment-associated prognostic biomarkers in ovarian cancer)
Collaborative Innovation Center for Cancer Medicine Reports Findings in Personal ized Medicine (Integrative multi-omics and machine learning approach reveals tum or microenvironment-associated prognostic biomarkers in ovarian 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 a report.According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents,research s tated, “Ovarian cancer (OC) is a globally prevalent malignancy with significant morbidity andmortality, yet its heterogeneity poses challenges in treatment and prognosis. Recognizing the crucial roleof the tumor microenvironment (TME) in OC progression, this study leverages integrative multi-omicsand machine learnin g to uncover TME-associated prognostic biomarkers, paving the way for more personalized therapeutic interventions.”
GuangzhouPeople’s Republic of ChinaA siaBiomarkersCancerCyborgsDiagnostics and ScreeningDrugs and TherapiesEmerging TechnologiesGeneticsGynecologyHealth and MedicineMachine Lear ningOncologyOvarian CancerPersonalized MedicinePersonalized TherapyPro gnostic MarkersWomen’s Health
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