Application of artificial intelligence to the <i>in silico</i> assessment of antimicrobial resistance and risks to human and animal health presented by priority enteric bacterial pathogens.

Steinkey, Rylan; Moat, Janice; Gannon, Victor; Zovoilis, Athanasios; Laing, Chad

Application of artificial intelligence to the in silico assessment of antimicrobial resistance and risks to human and animal health presented by priority enteric bacterial pathogens.

Steinkey, Rylan; Moat, Janice; Gannon, Victor; Zovoilis, Athanasios; Laing, Chad.

Afiliação

Steinkey R; National Microbiology Laboratory at Lethbridge, Public Health Agency of Canada, Lethbridge, AB.
Moat J; National Centre for Animal Diseases, Canadian Food Inspection Agency, Lethbridge, AB.
Gannon V; Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, AB.
Zovoilis A; National Microbiology Laboratory at Lethbridge, Public Health Agency of Canada, Lethbridge, AB.
Laing C; Department of Chemistry and Biochemistry, University of Lethbridge, Lethbridge, AB.

Can Commun Dis Rep ; 46(6): 180-185, 2020 Jun 04.

Article em En | MEDLINE | ID: mdl-32673383

Palavras-chave

antimicrobial resistance; bacterial pathogens; machine learning; predictive genomics; whole genome sequence

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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