Combining Blood Biomarkers and Genomic Information Provides More Accurate and Cost-Effective Prediction of Chronic Disease Risk
A combination of genomic information and blood biomarkers can more accurately identify people at high risk of developing chronic diseases, according to research conducted by Finnish firm Nightingale Health. Using machine learning, data from 300,000 UK Biobank participants and 200,000 from an Estonian biobank were analysed to build predictive models for individuals’ chances of developing … Read more