Multiomics single timepoint measurements to predict severe COVID-19

We read with interest Seul Kee Byeon and colleagues’ Article1 in The Lancet Digital Health on a multiomics model to predict the likelihood of severe disease in patients with COVID-19. Improving diagnostics is an important, yet underappreciated, approach to successfully tackle the ongoing COVID-19 pandemic, to reduce morbidity and mortality by potentially informing antiviral treatment, and to…

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