Coronavirus Tech: Researchers Developed A Ring That Could Predict COVID-19 Symptoms 3 Days In Advance Using Biometrics

Coronavirus symptoms can now be predicted in advance using biometrics, including data from Oura ring. According to Techcrunch's latest report, a platform was developed by a team of researchers from the West Virginia University (WVU) Rockefeller Neuroscience Institute (RNI), together with the staff of Oura Health and WVU's Medicine department. The researchers claimed that it can be used to predict COVID-19 symptoms in healthy people, three days in advance.

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They said that symptoms such as coughing, fever, fatigue, breathing difficulty, and other signs that could indicate that an individual has contracted the novel coronavirus can be predicted by the newly developed platform. A flag from the platform could mean they seek testing up to three days before the symptoms appear, but it doesn't mean that they are infected by the COVID-19 virus.

This would help medical experts identify potentially infected people, preventing them from infecting other individuals three days before the symptoms appear. With the support of other academic partners on board, the study targets to expand its coverage targeting as many as 10,000 participants across different institutions in multiple states.

RNI and its supporters fully funded the study, and Oura will be joining strictly in a facilitating capacity and to assist with hardware for deployment. Predictive models that could anticipate coronavirus onset before the symptoms physically manifest are already being tested by many projects to help slow down the COVID-19 infections.

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