Genomics and pathotypes of the many faces of Escherichia coli
J Geurtsen, M de Been, E Weerdenburg… - FEMS microbiology …, 2022 - academic.oup.com
Escherichia coli is the most researched microbial organism in the world. Its varied impact on
human health, consisting of commensalism, gastrointestinal disease, or extraintestinal …
human health, consisting of commensalism, gastrointestinal disease, or extraintestinal …
Fighting antibiotic resistance in hospital-acquired infections: current state and emerging technologies in disease prevention, diagnostics and therapy
E Avershina, V Shapovalova, G Shipulin - Frontiers in microbiology, 2021 - frontiersin.org
Rising antibiotic resistance is a global threat that is projected to cause more deaths than all
cancers combined by 2050. In this review, we set to summarize the current state of antibiotic …
cancers combined by 2050. In this review, we set to summarize the current state of antibiotic …
BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking
An increasing prevalence of hospital acquired infections and foodborne illnesses caused by
pathogenic and multidrug-resistant bacteria has stimulated a pressing need for benchtop …
pathogenic and multidrug-resistant bacteria has stimulated a pressing need for benchtop …
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 …
Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …
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 …
Antimicrobial resistance crisis: could artificial intelligence be the solution?
GY Liu, D Yu, MM Fan, X Zhang, ZY Jin, C Tang… - Military Medical …, 2024 - Springer
Antimicrobial resistance is a global public health threat, and the World Health Organization
(WHO) has announced a priority list of the most threatening pathogens against which novel …
(WHO) has announced a priority list of the most threatening pathogens against which novel …
Antimicrobial resistance and machine learning: past, present, and future
Machine learning has become ubiquitous across all industries, including the relatively new
application of predicting antimicrobial resistance. As the first bibliometric review in this field …
application of predicting antimicrobial resistance. As the first bibliometric review in this field …
[HTML][HTML] AMR-Diag: Neural network based genotype-to-phenotype prediction of resistance towards β-lactams in Escherichia coli and Klebsiella pneumoniae
Antibiotic resistance poses a major threat to public health. More effective ways of the
antibiotic prescription are needed to delay the spread of antibiotic resistance. Employment of …
antibiotic prescription are needed to delay the spread of antibiotic resistance. Employment of …
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 …