Instead of requiring people to take frequent coronavirus tests, which have proven costly and slow in being processed, the Scripps Research professor’s system works by relying on anonymized data collected from thousands of volunteers who wear smartwatches and fitness trackers. During a trial that started in March, the system has been able to provide an early warning of small regional outbreaks by looking for a telltale symptom of infection that’s

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