AI and quantitative mass spectrometry predict COVID-19 patient outcomes

Researchers from Skoltech and McGill University and their colleagues have trained a machine learning algorithm to predict the survival rate of patients admitted to intensive care with COVID-19 using blood test results. Based on the levels of 15 biomolecules measured with a technique called targeted mass spectrometry, the algorithm could predict patient survival with 92% accuracy.