Researchers from Stanford Medicine are attempting to use data derived from wearable technology to predict the onset of different illnesses, including COVID-19. The wearable technology data will be used to develop algorithms that could potentially inform patients they are sick before the onset of their symptoms. Data related to changes in heart rate, or skin temperature, can be compared to a COVID-19 timeline to identify early warning signs.
Michael Snyder, a professor and chair of genetics at Stanford Medicine, spoke about the role wearable technology can play in acquiring data, "Smartwatches and other wearables make many, many measurements per day — at least 250,000, which is what makes them such powerful monitoring devices."
Wearable Illness Studies
Stanford Medicine is Using Wearable Technology to Predict Illness Onset
Trend Themes
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Industry Implications
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