Robotics & Machine Learning Daily News2024,Issue(Apr.4) :40-41.

Imperial College London Reports Findings in Klebsiella pneumoniae (Optimising ma chine learning prediction of minimum inhibitory concentrations in Klebsiella pne umoniae)

Robotics & Machine Learning Daily News2024,Issue(Apr.4) :40-41.

Imperial College London Reports Findings in Klebsiella pneumoniae (Optimising ma chine learning prediction of minimum inhibitory concentrations in Klebsiella pne umoniae)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Gram-Negative Bacteria - Klebsiella pneumoniae is the subject of areport. According to news originati ng from London, United Kingdom, by NewsRx correspondents, researchstated, “Mini mum Inhibitory Concentrations (MICs) are the gold standard for quantitatively me asuringantibiotic resistance. However, lab-based MIC determination can be time- consuming and suffers from lowreproducibility, and interpretation as sensitive or resistant relies on guidelines which change over time.”

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Enterobacteriaceae/Gammaproteobacteria/Gram-Negative B acteria/Gram-Negative Facultatively Anaerobic Rods/Health and Medicine/Klebsi ella/Klebsiella pneumoniae/Machine Learning/Proteo

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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