Genome-based prediction of bacterial antibiotic resistance
Clinical microbiology has long relied on growing bacteria in culture to determine
antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic …
antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic …
Applications of machine learning to the problem of antimicrobial resistance: an emerging model for translational research
Antimicrobial resistance (AMR) remains one of the most challenging phenomena of modern
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …
Foodborne disease symptoms, diagnostics, and predictions using artificial intelligence-based learning approaches: a systematic review
Food-borne diseases have a high worldwide occurrence, substantially impacting public
health and the social economy. Most food-borne diseases are contagious or poisonous and …
health and the social economy. Most food-borne diseases are contagious or poisonous and …
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 …
Systematic review of surveillance systems for AMR in Africa
OJ Okolie, U Igwe, SU Ismail… - Journal of …, 2023 - academic.oup.com
Aims Surveillance is a useful tool for tracking antimicrobial resistance (AMR) trends,
patterns, therapeutic and policy interventions. Proper correlation of surveillance data gives …
patterns, therapeutic and policy interventions. Proper correlation of surveillance data gives …
Current and future technologies for the detection of antibiotic-resistant bacteria
Antibiotic resistance is a global public health concern, posing a significant threat to the
effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection …
effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection …
Enhancing the one health initiative by using whole genome sequencing to monitor antimicrobial resistance of animal pathogens: Vet-LIRN collaborative project with …
O Ceric, GH Tyson, LB Goodman, PK Mitchell… - BMC veterinary …, 2019 - Springer
Background Antimicrobial resistance (AMR) of bacterial pathogens is an emerging public
health threat. This threat extends to pets as it also compromises our ability to treat their …
health threat. This threat extends to pets as it also compromises our ability to treat their …
Identification of primary antimicrobial resistance drivers in agricultural nontyphoidal Salmonella enterica serovars by using machine learning
Nontyphoidal Salmonella (NTS) is a leading global cause of bacterial foodborne morbidity
and mortality. Our ability to treat severe NTS infections has been impaired by increasing …
and mortality. Our ability to treat severe NTS infections has been impaired by increasing …
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 …
Heterologous machine learning for the identification of antimicrobial activity in Human-Targeted drugs
RA Nava Lara, L Aguilera-Mendoza, CA Brizuela… - Molecules, 2019 - mdpi.com
The emergence of microbes resistant to common antibiotics represent a current treat to
human health. It has been recently recognized that non-antibiotic labeled drugs may …
human health. It has been recently recognized that non-antibiotic labeled drugs may …