首页|University of Cambridge School of Clinical Medicine Reports Findings in Biomarke rs (Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study)
University of Cambridge School of Clinical Medicine Reports Findings in Biomarke rs (Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Diagnostics and Screen ing - Biomarkers is the subject of a report.According to news reporting from Ca mbridge, United Kingdom, by NewsRx journalists, research stated,“Broad-capture proteomic technologies have the potential to improve disease prediction, enablin g targetedprevention and management, but studies have so far been limited to ve ry few selected diseases and havenot evaluated predictive performance across mu ltiple conditions. We aimed to evaluate the potential ofserum proteins to impro ve risk prediction over and above health-derived information and polygenic riskscores across a diverse set of 24 outcomes.”
CambridgeUnited KingdomEuropeBioma rkersClinical ResearchClinical Trials and StudiesCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMachine LearningProteom ics
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