MedPage Today September 29, 2021
— Two small human challenge studies explore the possibility in the era of COVID-19
A non-invasive biometric sensor screening device accurately identified flu and the common cold prior to symptom onset, researchers found in two small human challenge studies.
In the first, which involved 31 participants inoculated with influenza, Empatica’s E4 wristband detected the difference between infection and non-infection with up to 92% accuracy. The second involved 18 participants inoculated with human rhinovirus, and here the E4 wristband detected the difference between infection and non-infection with 88% accuracy, reported Jessilyn Dunn, PhD, of Duke University in Durham, North Carolina, and colleagues.
Moreover, the infection severity prediction model determined the difference between mild and moderate infection with 89-90% accuracy for both...
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