首页|Carol Davila University of Medicine and Pharmacy Reports Findings in Biomarkers (Development and validation of cardiometabolic risk predictive models based on L DL oxidation and candidate geromarkers from the MARK-AGE data)
Carol Davila University of Medicine and Pharmacy Reports Findings in Biomarkers (Development and validation of cardiometabolic risk predictive models based on L DL oxidation and candidate geromarkers from the MARK-AGE data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Diagnostics and Screen ing - Biomarkers is the subject of a report. According to news reporting from Bu charest, Romania, by NewsRx journalists, research stated, "The predictive value of the susceptibility to oxidation of LDL particles (LDLox) in cardiometabolic r isk assessment is incompletely understood. The main objective of the current stu dy was to assess its relationship with other relevant biomarkers and cardiometab olic risk factors from MARK-AGE data." The news correspondents obtained a quote from the research from the Carol Davila University of Medicine and Pharmacy, "A cross-sectional observational study was carried out on 1089 subjects (528 men and 561 women), aged 40-75 years old, ran domly recruited age- and sex-stratified individuals from the general population. A correlation analysis exploring the relationships between LDLox and relevant b iomarkers was undertaken, as well as the development and validation of several m achine learning algorithms, for estimating the risk of the combined status of hi gh blood pressure and obesity for the MARK-AGE subjects. The machine learning mo dels yielded Area Under the Receiver Operating Characteristic Curve Score rangin g 0.783-0.839 for the internal validation, while the external validation resulte d in an Under the Receiver Operating Characteristic Curve Score between 0.648-0. 787, with the variables based on LDLox reaching significant importance within th e obtained predictions. The current study offers novel insights regarding the co mbined effects of LDL oxidation and other ageing markers on cardiometabolic risk ."
BucharestRomaniaEuropeBiomarkersCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMachine LearningRisk and Prevention
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