Robotics & Machine Learning Daily News2024,Issue(Aug.27) :68-69.

University of California Reports Findings in Machine Learning (Insertable Glucos e Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.27) :68-69.

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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Abstract

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).”

Key words

Los Angeles/California/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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