Researchers are Using Oura's Smart Ring to Predict COVID-19 Symptoms
Daniel Johnson — April 13, 2020 — Tech
References: wvutoday.wvu.edu & engadget
Researchers from West Virginia University's Rockefeller Neuroscience Institute are now working with Oura, a smart ring company, on a system that can help to slow the spread of COVID-19. The project looks to use an AI prediction system, which will predict symptoms from the virus-like fevers, coughs or fatigue. The system can even produce symptoms 24 hours before they occur. The researchers are currently tracking 1,00 healthcare workers, and they hope to increase prediction times to a total of three days.
If researchers can successfully extend prediction times to three days, then medical workers can better treat patients of COVID-19.
The smart rings are also being used by researchers to monitor any changes in temperature, and differentiate whether the changes are from COVID-19 or from stress or anxiety
Image Credit: Oura
If researchers can successfully extend prediction times to three days, then medical workers can better treat patients of COVID-19.
The smart rings are also being used by researchers to monitor any changes in temperature, and differentiate whether the changes are from COVID-19 or from stress or anxiety
Image Credit: Oura
Trend Themes
1. AI Prediction Systems - Developing AI prediction systems can help in predicting COVID-19 symptoms, allowing for better treatment and containment strategies.
2. Remote Health Monitoring - Remote health monitoring through wearable devices like smart rings can enable early detection and prompt intervention for various health conditions, including COVID-19.
3. Differentiation Technology - Advancements in differentiation technology can enable accurate identification of health conditions based on physiological changes, helping distinguish COVID-19 symptoms from other causes.
Industry Implications
1. Healthcare - The healthcare industry can leverage AI prediction systems and remote health monitoring to revolutionize patient care and pandemic response.
2. Wearable Technology - The wearable technology industry can further innovate remote health monitoring devices such as smart rings to improve disease detection and symptom prediction capabilities.
3. Artificial Intelligence - The artificial intelligence industry can contribute to the development of predictive models and algorithms that aid in early detection and prediction of COVID-19 symptoms.
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