Suzhou University of Science and Technology Reports Findings in　Machine Learning (Machine Learning-Assistant Colorimetric Sensor　Arrays for Intelligent and Rapi d Diagnosis of Urinary Tract Infection)

Robotics & Machine Learning Daily News2024，Issue(Apr.10) ：106-106.

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Suzhou University of Science and Technology Reports Findings in　Machine Learning (Machine Learning-Assistant Colorimetric Sensor　Arrays for Intelligent and Rapi d Diagnosis of Urinary Tract Infection)

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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 Suzhou, People ’s Republic of China, by NewsRx journalists, research stated,“Urinary tract inf ections (UTIs), which can lead to pyelonephritis, urosepsis, and even death, are amongthe most prevalent infectious diseases worldwide, with a notable increase in treatment costs due to theemergence of drug-resistant pathogens. Current di agnostic strategies for UTIs, such as urine culture andflow cytometry, require time-consuming protocols and expensive equipment.”

Key words

Suzhou/People’s Republic of China/Asia/Cyborgs/Diagnostics　and Screening/Emerging Technologies/Health and Medicine/Machine Learning/Urinary Tract

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2024

Robotics & Machine Learning Daily News

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Suzhou University of Science and Technology Reports Findings in Machine Learning (Machine Learning-Assistant Colorimetric Sensor Arrays for Intelligent and Rapi d Diagnosis of Urinary Tract Infection)

Suzhou University of Science and Technology Reports Findings in Machine Learning (Machine Learning-Assistant Colorimetric Sensor Arrays for Intelligent and Rapi d Diagnosis of Urinary Tract Infection)

Abstract

Key words

引用本文复制引用

出版年

Robotics & Machine Learning Daily News

Suzhou University of Science and Technology Reports Findings in　Machine Learning (Machine Learning-Assistant Colorimetric Sensor　Arrays for Intelligent and Rapi d Diagnosis of Urinary Tract Infection)

Suzhou University of Science and Technology Reports Findings in　Machine Learning (Machine Learning-Assistant Colorimetric Sensor　Arrays for Intelligent and Rapi d Diagnosis of Urinary Tract Infection)