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 VIDEOS

Machine Learning Helps Detect COVID-19 and Other Diseases in Human Breath

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      JILA’s Frequency Comb Breathalyzer Detects COVID-19 With Excellent Accuracy
      
            NIST/JILA fellows Jun Ye, David Nesbitt and their colleagues have demonstrated that a breathalyzer based on Nobel Prize-winning frequency-comb technology combined with machine learning techniques can accurately detect SARS-CoV-2 infection in human breath.

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