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Click to download the PDF. Oura's primary goal is to help UCSF engage and increase the number of users who have rings and are opting in to early detection efforts. Oura is offering rings at $250 for orders of 1000 rings supporting TemPredict. Immediate impact: Participants are presented every morning with daily personalized insights on heart rate, HRv, respiration, temperature, sleep staging, and activity to empower them to monitor their own health and change their behavior accordingly. This is especially important in medical personnel and high-risk patients. Future impact: UCSF will leverage Oura's backend data to build models that can aid in identifying symptom profiles, pinpointing at risk populations, predicting severity, and validating recovery, containment, and treatment efforts. The data gathered now may be our only chance to measure these changes so we can recognize them and deploy predictive algorithms to minimize the next wave of this outbreak, expected in Fall 2020. We ask all donors to go to OuraRing.com and buy rings for medical personnel so they can join this effort.

Oura ring's Moments feature measures HRV. This is how we measure wellbeing. Test and measurement of wellbeing opens the door for so many interesting self studies. This should be one of the experimental choices in our new online class.

"Abstract Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic. We coupled these data with symptom reports and COVID-19 diagnosis data. Here we report findings from the first 50 subjects who reported COVID-19 infections. These cases provide the first evidence that illness-associated elevations in peripheral temperature are observable using wearable devices and correlate with self-reported fever. Our analyses support the hypothesis that wearable sensors can detect illnesses in the absence of symptom recognition. Finally, these data support the hypothesis that prediction of illness onset is possible using continuously generated physiological data collected by wearable sensors. Our findings should encourage further research into the role of wearable sensors in public health efforts aimed at illness detection, and underscore the importance of integrating temperature sensors into commercially available wearables."

"Although each effort is being conducted separately, all of the studies center around a common principle that by establishing a baseline set of biometrics for every study participant - including temperature, heart rate, and activity and sleep levels - researchers can detect deviations that are suggestive of illness." "Forget precision medicine. This is precision health," said Michael Snyder, Stanford University School of Medicine genetics department chair and director of genomics and personalized medicine.