Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective
Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern
medicine. Effective prevention strategies are urgently required to slow the emergence and …
medicine. Effective prevention strategies are urgently required to slow the emergence and …
Innovations in genomic antimicrobial resistance surveillance
NE Wheeler, V Price, E Cunningham-Oakes… - The Lancet …, 2023 - thelancet.com
Whole-genome sequencing of antimicrobial-resistant pathogens is increasingly being used
for antimicrobial resistance (AMR) surveillance, particularly in high-income countries …
for antimicrobial resistance (AMR) surveillance, particularly in high-income countries …
Global pathogenomic analysis identifies known and candidate genetic antimicrobial resistance determinants in twelve species
JC Hyun, JM Monk, R Szubin, Y Hefner… - Nature …, 2023 - nature.com
Surveillance programs for managing antimicrobial resistance (AMR) have yielded
thousands of genomes suited for data-driven mechanism discovery. We present a workflow …
thousands of genomes suited for data-driven mechanism discovery. We present a workflow …
Towards a modular architecture for science factories
Advances in robotic automation, high-performance computing (HPC), and artificial
intelligence (AI) encourage us to conceive of science factories: large, general-purpose …
intelligence (AI) encourage us to conceive of science factories: large, general-purpose …
A Practical Approach for Predicting Antimicrobial Phenotype Resistance in Staphylococcus aureus Through Machine Learning Analysis of Genome Data
With the reduction in sequencing price and acceleration of sequencing speed, it is
particularly important to directly link the genotype and phenotype of bacteria. Here, we firstly …
particularly important to directly link the genotype and phenotype of bacteria. Here, we firstly …
Genomic features associated with the degree of phenotypic resistance to carbapenems in carbapenem-resistant Klebsiella pneumoniae
Carbapenem-resistant Klebsiella pneumoniae strains cause severe infections that are
difficult to treat. The production of carbapenemases such as the K. pneumoniae …
difficult to treat. The production of carbapenemases such as the K. pneumoniae …
Direct prediction of carbapenem-resistant, carbapenemase-producing, and colistin-resistant Klebsiella pneumoniae isolates from routine MALDI-TOF mass spectra …
The objective of this study was to develop a rapid prediction method for carbapenem-
resistant Klebsiella pneumoniae (CRKP) and colistin-resistant K. pneumoniae (ColRKP) …
resistant Klebsiella pneumoniae (CRKP) and colistin-resistant K. pneumoniae (ColRKP) …
Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes
The advent of rapid whole-genome sequencing has created new opportunities for
computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data …
computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data …
Machine learning and feature extraction for rapid antimicrobial resistance prediction of Acinetobacter baumannii from whole-genome sequencing data
Y Gao, H Li, C Zhao, S Li, G Yin, H Wang - Frontiers in Microbiology, 2024 - frontiersin.org
Background Whole-genome sequencing (WGS) has contributed significantly to
advancements in machine learning methods for predicting antimicrobial resistance (AMR) …
advancements in machine learning methods for predicting antimicrobial resistance (AMR) …
A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes
M VanOeffelen, M Nguyen, D Aytan-Aktug… - Briefings in …, 2021 - academic.oup.com
Antimicrobial resistance (AMR) is a major global health threat that affects millions of people
each year. Funding agencies worldwide and the global research community have expended …
each year. Funding agencies worldwide and the global research community have expended …