首页|University of California Reports Findings in Machine Learning (Insertable Glucos e Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning)
University of California Reports Findings in Machine Learning (Insertable Glucos e Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Los Angeles, C alifornia, by NewsRx journalists, research stated, “Optical continuousglucose m onitoring (CGM) systems are emerging for personalized glucose management owing t o theirlower cost and prolonged durability compared to conventional electrochem ical CGMs. Here, we report acomputational CGM system, which integrates a biocom patible phosphorescence-based insertable biosensorand a custom-designed phospho rescence lifetime imager (PLI).”
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