Search Results - "Bortolaia, V."
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Human health risks associated with antimicrobial-resistant enterococci and Staphylococcus aureus on poultry meat
Published in Clinical microbiology and infection (01-02-2016)“…Enterococci and staphylococci are frequent contaminants on poultry meat. Enterococcus faecalis, Enterococcus faecium and Staphylococcus aureus are also…”
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Predicting effects of changed antimicrobial usage on the abundance of antimicrobial resistance genes in finisher’ gut microbiomes
Published in Preventive veterinary medicine (01-01-2020)“…It is accepted that usage of antimicrobials (AMs) in food animals causes the emergence and spread of antimicrobial resistance (AMR) in this sector, while also…”
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Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks
Published in mSystems (21-01-2020)“…Machine learning has proven to be a powerful method to predict antimicrobial resistance (AMR) without using prior knowledge for selected bacterial…”
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The first attempt of an active integrated laboratory‐based Salmonella surveillance programme in the north‐eastern region of Nigeria
Published in Journal of applied microbiology (01-10-2013)“…Aim To identify the sources of Salmonella contamination, distribution, prevalence and antimicrobial susceptibility patterns, which have significant impact on…”
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QUINOLONE- AND ETA-LACTAM- RESISTANCE IN Escherichia coli FROM DANISH AND ITALIAN BROILER FLOCKS
Published in Italian journal of food safety (21-03-2009)“…The prevalence of quinolone- and -lactam-resistant E. coli was investigated among healthy broiler flocks in Denmark and Italy. In Denmark, sock samples were…”
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Biochemical Characterization of CPS-1, a Subclass B3 Metallo-β-Lactamase from a Chryseobacterium piscium Soil Isolate
Published in Antimicrobial agents and chemotherapy (01-03-2016)“…CPS-1 is a subclass B3 metallo-β-lactamase from a Chryseobacterium piscium isolate collected from soil, showing 68% amino acid identity to the GOB-1 enzyme…”
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Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks
Published in mSystems (01-02-2020)“…ABSTRACT Machine learning has proven to be a powerful method to predict antimicrobial resistance (AMR) without using prior knowledge for selected bacterial…”
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Expanding the repertoire of carbapenem-hydrolyzing metallo-β-lactamases by functional metagenomic analysis of soil microbiota
Published 2016“…Carbapenemases are bacterial enzymes that hydrolyze carbapenems, a group of last-resort β-lactam antibiotics used for treatment of severe bacterial infections…”
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