Robotics & Machine Learning Daily News2024,Issue(Sep.30) :6-6.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.30) :6-6.

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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Abstract

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 ."

Key words

Bucharest/Romania/Europe/Biomarkers/Cyborgs/Diagnostics and Screening/Emerging Technologies/Health and Medicine/Machine Learning/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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