首页|Imperial College London Reports Findings in Klebsiella pneumoniae (Optimising ma chine learning prediction of minimum inhibitory concentrations in Klebsiella pne umoniae)
Imperial College London Reports Findings in Klebsiella pneumoniae (Optimising ma chine learning prediction of minimum inhibitory concentrations in Klebsiella pne umoniae)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
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.”
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesEnterobacteriaceaeGammaproteobacteriaGram-Negative B acteriaGram-Negative Facultatively Anaerobic RodsHealth and MedicineKlebsi ellaKlebsiella pneumoniaeMachine LearningProteo