One of the many mysteries still surrounding COVID-19 is why some people experience only mild, flu-like symptoms, whereas others suffer life-threatening respiratory problems, vascular dysfunction and tissue damage. Now, researchers reporting in ACS’ Analytical Chemistry have used a combination of metabolomics and machine learning to identify possible biomarkers that could both help diagnose COVID-19 and assess the risk of developing severe illness.
Click here for original story, Biomarkers that could help determine who’s at risk for severe COVID-19 symptoms
Source: Phys.org