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Article

Machine learning to predict ceftriaxone resistance using single nucleotide polymorphisms within a global database of Neisseria gonorrhoeae genomes.

Microbiology spectrum - 12 Dec 2023

Ha Sung Min, Lin Eric Y, Klausner Jeffrey D, Adamson Paul C

Abstract excerpt

IMPORTANCE: Antimicrobial resistance in Neisseria gonorrhoeae is an urgent global health issue. The objectives of the study were to use a global collection of 12,936 N. gonorrhoeae genomes from the PathogenWatch database to evaluate different machine learning models to predict ceftriaxone susceptibility/decreased susceptibility using 97 mutations known to be associated with ceftriaxone resistance. We found the...

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Identifiers

PMID: 37905924
DOI: 10.1128/spectrum.01703-23
PMCID: PMC10714741

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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