The diagnostic test may replace existing procedures that can only detect a single infection.
Scientists have developed a groundbreaking diagnostic test using artificial intelligence to identify respiratory viruses within five minutes from a single nasal or throat swab. The diagnostic test can identify multiple viruses and differentiate between strains, making it more accurate than current methods.Facial recognition for germs
The technology combines molecular labeling, computer vision, and machine learning to create a universal diagnostic imaging platform that looks directly at a patient sample and can identify which pathogen is present in a matter of seconds—much like facial recognition software, but for germs.in patient samples. However, the scientists were keen to determine if the test could be used to diagnose multiple respiratory infections.
They labeled viruses with single-stranded DNA in over 200 clinical samples from the hospital. Images of labeled samples were captured using a commercial fluorescence microscope and processed by custom machine-learning software trained to recognize specific viruses by analyzing their fluorescence labels, which show up differently for every virus., including flu virus and COVID-19, within five minutes and with >97% accuracy.In 2021, Nicolas Shiaelis and Dr.
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