Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis
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A large-scale, retrospective analysis suggests that sleep and temperature data from wearable devices may support the noninvasive detection of diabetes mellitus. Wearable devices, including smartwatches and trackers, are being explored for their potential in monitoring various health metrics, including sleep and blood sugar levels. The development of noninvasive health monitoring technology is an ongoing area of research and innovation, with various companies and products emerging in the field.
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