JILA researchers have upgraded a breathalyzer based on Nobel Prize-winning frequency-comb technology and combined it with machine learning to detect SARS-CoV-2 infection with excellent accuracy in 170 volunteer subjects. Their achievement represents the first real-world test of the technology's capability to diagnose disease in exhaled human breath.