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In a recent Cell Systems study, researchers utilized the RefMap machine learning algorithm to correlate known genomic variations for severe COVID-19 obtained from large-scale genome-wide association studies (GWAS) with single-cell multiome profiling of human lungs.
Researchers from the University of Sheffield and Stanford University in the US have discovered there are specific genetic signals in people who develop severe coronavirus infection.
An international team of researchers has discovered specific genetic signals in people who develop severe coronavirus infection.Using machine learning, researchers from the University of Sheffield and Stanford Medicine identified more than ...
Hundreds of genetic variants may influence your risk of becoming severely ill with covid-19, a discovery that could lead to more targeted treatments or even tests that assess a person's likelihood of complications
University of Sheffield research collaboration with Stanford University reveals why some healthy adults with the COVID-19 infection become seriously ill, whilst