Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data
AL Hicks, N Wheeler, L Sánchez-Busó… - PLoS computational …, 2019 - journals.plos.org
Prediction of antibiotic resistance phenotypes from whole genome sequencing data by
machine learning methods has been proposed as a promising platform for the development …
machine learning methods has been proposed as a promising platform for the development …
VAMPr: VA riant M apping and P rediction of antibiotic r esistance via explainable features and machine learning
Antimicrobial resistance (AMR) is an increasing threat to public health. Current methods of
determining AMR rely on inefficient phenotypic approaches, and there remains incomplete …
determining AMR rely on inefficient phenotypic approaches, and there remains incomplete …
Surveillance to maintain the sensitivity of genotype-based antibiotic resistance diagnostics
The sensitivity of genotype-based diagnostics that predict antimicrobial susceptibility is
limited by the extent to which they detect genes and alleles that lead to resistance. As novel …
limited by the extent to which they detect genes and alleles that lead to resistance. As novel …
Multiple phylogenetically-diverse, differentially-virulent Burkholderia pseudomallei isolated from a single soil sample collected in Thailand
C Roe, AJ Vazquez, PD Phillips… - PLoS neglected …, 2022 - journals.plos.org
Burkholderia pseudomallei is a soil-dwelling bacterium endemic to Southeast Asia and
northern Australia that causes the disease, melioidosis. Although the global genomic …
northern Australia that causes the disease, melioidosis. Although the global genomic …
Precise prediction of antibiotic resistance in Escherichia coli from full genome sequences
D Moradigaravand, M Palm, A Farewell, V Mustonen… - bioRxiv, 2018 - biorxiv.org
The emergence of microbial antibiotic resistance is a global health threat. In clinical settings,
the key to controlling spread of resistant strains is accurate and rapid detection. As …
the key to controlling spread of resistant strains is accurate and rapid detection. As …
[PDF][PDF] Computational and Structural Biotechnology Reports
P Mohseni, A Ghorbani - researchgate.net
The integration of artificial intelligence (AI) into microbiology has the transformative potential
to advance our understanding and treatment of microbial systems. This review examines …
to advance our understanding and treatment of microbial systems. This review examines …