首页|University of Cyprus Reports Findings in Personalized Medicine (Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy)
University of Cyprus Reports Findings in Personalized Medicine (Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy)
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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 fr om Nicosia, Cyprus, by NewsRx journalists, research stated, “Inthe pursuit of a dvancing cancer therapy, this study explores the predictive power of machine lea rning inanalyzing tumor characteristics, specifically focusing on the effects o f tumor stiffness and perfusion (i.e.,blood flow) on treatment efficacy. Recent advancements in oncology have highlighted the significance ofthese physiologic al properties of the tumor microenvironment in determining treatment outcomes.”
NicosiaCyprusEuropeBiomarkersCan cerCyborgsDiagnostics and ScreeningDrugs and TherapiesEmerging Technolog iesHealth and MedicineMachine LearningOncologyPerfusionPersonalized Me dicinePersonalized Therapy
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