Robotics & Machine Learning Daily News2024,Issue(Aug.20) :15-15.

Auburn University Reports Findings in Machine Learning (Discrimination of Common E. coli Strains in Urine by Liquid Chromatography-Ion Mobility-Tandem Mass Spec trometry and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.20) :15-15.

Auburn University Reports Findings in Machine Learning (Discrimination of Common E. coli Strains in Urine by Liquid Chromatography-Ion Mobility-Tandem Mass Spec trometry 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 from Auburn, Alabama, by News Rx journalists, research stated, “Accurate identification ofbacterial strains i n clinical samples is essential to provide an appropriate antibiotherapy to the patient andreduce the prescription of broad-spectrum antimicrobials, leading to antibiotic resistance. In this study, weutilized the combination of a multidim ensional analytical technique, liquid chromatography-ion mobilitytandemmass sp ectrometry (LC-IM-MS/MS), and machine learning to accurately identify and distin guish11 () strains in artificially contaminated urine samples.”

Key words

Auburn/Alabama/United States/North an d 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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