首页|Dalhousie University Reports Findings in Enterococcus (Identification of key dri vers of antimicrobial resistance in Enterococcus using machine learning)
Dalhousie University Reports Findings in Enterococcus (Identification of key dri vers of antimicrobial resistance in Enterococcus using machine learning)
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-Positive Bacteria - Enterococcus is the subject of a report.According to news originating from N ova Scotia, Canada, by NewsRx correspondents, research stated,“With antimicrobi al resistance (AMR) rapidly evolving in pathogens, quick and accurate identifica tionof genetic determinants of phenotypic resistance is essential for improving surveillance, stewardship, andclinical mitigation. Machine learning (ML) model s show promise for AMR prediction in diagnostics butrequire a deep understandin g of internal processes to use effectively.”
Nova ScotiaCanadaNorth and Central A mericaCyborgsEmerging TechnologiesEnterococcaceaeEnterococcusGram-Posi tive BacteriaLactobacillalesMachine Learning