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Tracking antimicrobial resistance along the meat chain: One health context
I Nastasijevic, F Proscia, K Jurica… - Food Reviews …, 2024 - Taylor & Francis
Food-borne pathogens and antimicrobial resistance (AMR) represent the significant public
health challenges in the 21st century. Increased emergence of AMR in major zoonotic food …
health challenges in the 21st century. Increased emergence of AMR in major zoonotic food …
Machine learning-enabled prediction of antimicrobial resistance in foodborne pathogens
ABSTRACT The World Health Organization (WHO) has identified antimicrobial resistance
(AMR) as one of the top three global dangers to public health. One of the most vital factors …
(AMR) as one of the top three global dangers to public health. One of the most vital factors …
Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China
Sharing of genetic elements among different pathogens and commensals inhabiting same
hosts and environments has significant implications for antimicrobial resistance (AMR) …
hosts and environments has significant implications for antimicrobial resistance (AMR) …
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 …
Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and …
Anthropogenic environments such as those created by intensive farming of livestock, have
been proposed to provide ideal selection pressure for the emergence of antimicrobial …
been proposed to provide ideal selection pressure for the emergence of antimicrobial …
Novel SCCmec type XV (7A) and two pseudo-SCCmec variants in foodborne MRSA in China
Background Staphylococcal cassette chromosome mec (SCC mec) elements are highly
diverse and have been classified into 14 types. Novel SCC mec variants have been …
diverse and have been classified into 14 types. Novel SCC mec variants have been …
The Plasmidomic Landscape of Clinical Methicillin-Resistant Staphylococcus aureus Isolates from Malaysia
Methicillin-resistant Staphylococcus aureus (MRSA) is a priority nosocomial pathogen with
plasmids playing a crucial role in its genetic adaptability, particularly in the acquisition and …
plasmids playing a crucial role in its genetic adaptability, particularly in the acquisition and …
A food poisoning caused by ST7 Staphylococcal aureus harboring sea gene in Hainan province, China
Y Guo, X Yu, J Wang, D Hua, Y You, Q Wu… - Frontiers in …, 2023 - frontiersin.org
ST7 Staphylococcus aureus is highly prevalent in humans, pigs, as well as food in China;
however, staphylococcal food poisoning (SFP) caused by this ST type has rarely been …
however, staphylococcal food poisoning (SFP) caused by this ST type has rarely been …
Integrating whole genome sequencing and machine learning for predicting antimicrobial resistance in critical pathogens: a systematic review of antimicrobial …
Background Infections caused by antibiotic-resistant bacteria pose a major challenge to
modern healthcare. This systematic review evaluates the efficacy of machine learning (ML) …
modern healthcare. This systematic review evaluates the efficacy of machine learning (ML) …
Applications of advanced data analytic techniques in food safety and risk assessment
Highlights•Large datasets generated from food safety-related operations.•Machine learning
and deep-learning algorithms applied to food safety.•Quick, robust, and efficient approaches …
and deep-learning algorithms applied to food safety.•Quick, robust, and efficient approaches …