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| (Photo Source: Oura) |
One challenge in preventing the spread of COVID-19 is that asymptomatic individuals, or carriers, can spread the virus before they are aware of the fact that they are infected with the virus.
In April, researchers from the University of West Virginia (WVU) Rockefeller Neuroscience Institute (RNI) and WVU Medicine appeared using wearable circles using Ovara and AI prediction models. Already ready to predict symptoms.
Now, researchers claim that their digital platform can detect symptoms related to COVID-19 for up to three days with more than 90% accuracy.
The approach is based on neuroscience, and participants are asked to track stress, anxiety, memory, and other psychological and cognitive biometrics in the RNI app.
Oura Ring collects physical data, such as body temperature, changes in heart rate, resting heart rate, respiratory rate, and sleep patterns. It integrates data from the app and colors with AI guided models.
While this platform may not be better than anything else, the 90% accuracy rate still leaves room for the unruly to crack.
If 1,000 people use this system, 100 people can still get the wrong results. So while this may be a promise and may indicate the solutions we have in the future, it may take some time to prepare for some real-world use like this.
Ali Rezai, Executive Chairman, RNI, said, "We feel that this platform will be essential for the protection of our healthcare workers, first responders, and communities.
The platform is currently being tested by more than 600 health professionals and first responders, and RNI is working with partners such as Thomas Jefferson University and Vanderbilt University to scale the test. More than 10,000 participants.
Using thumbs to predict COVID-19 infection is not the only study. Researchers at the University of California, San Francisco (UCSF) are also exploring how overexposure can be used to detect the virus in emergency medical personnel.
Harpreet Rai, CEO of Ora Health, said in a statement, "We hope that Ora's technology will advance how people can identify and understand the most decent body signals and warning signs in our body, as they are associated with infectious diseases such as COVID-19. "
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