One of the challenges to curbing the spread of COVID-19 is that asymptomatic individuals, or carriers, can spread the virus before they realize they are infected. In April, researchers from West Virginia University’s (WVU) Rockefeller Neuroscience Institute (RNI) and WVU Medicine set out to predict symptoms before they appear using wearable rings by Oura and AI prediction models. Now, the researchers claim their digital platform can detect COVID-19 related symptoms up to three days early with over 90 percent accuracy.
The approach is neuroscience-based, and it asks participants to track stress, anxiety, memory and other psychological and cognitive biometrics in the RNI app. Oura Ring collects physiological data, like body temperature, heart rate variability, resting heart rate, respiratory rate and sleep patterns. It combines data from the app and ring with AI-guided models.