Insulin resistance prediction from wearables and routine blood biomarkers
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Researchers have found that data from wearables, such as smartwatches, can be used to help identify insulin resistance and assess the risk of developing diabetes. This data can be combined with routine blood biomarkers to improve the prediction of insulin resistance. The use of digital biomarkers from wearables and other sources is being explored as a potential tool for screening and predicting insulin resistance and related conditions.
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