AIMC Topic: Escherichia coli Infections
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Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections.
Frontiers in cellular and infection microbiology
Apr 16, 2025
OBJECTIVES: Urinary tract infection is one of the most prevalent forms of bacterial infection, and prompt and efficient identification of pathogenic bacteria plays a pivotal role in the management of urinary tract infections. In this study, we propos...
Machine learning detection of heteroresistance in Escherichia coli.
EBioMedicine
Feb 21, 2025
BACKGROUND: Heteroresistance (HR) is a significant type of antibiotic resistance observed for several bacterial species and antibiotic classes where a susceptible main population contains small subpopulations of resistant cells. Mathematical models, ...
Rapid detection of carbapenem-resistant Escherichia coli and carbapenem-resistant Klebsiella pneumoniae in positive blood cultures via MALDI-TOF MS and tree-based machine learning models.
BMC microbiology
Jan 24, 2025
BACKGROUND: Bloodstream infection (BSI) is a systemic infection that predisposes individuals to sepsis and multiple organ dysfunction syndrome. Early identification of infectious agents and determination of drug-resistant phenotypes can help patients...
Carbapenem-Resistant Enterobacteriaceae
Escherichia coli Infections
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Carbapenems
Microbial Sensitivity Tests
Klebsiella pneumoniae
Bacteremia
Escherichia coli
Decision Trees
Blood Culture
Klebsiella Infections
Humans
Machine Learning
Anti-Bacterial Agents
Unbiased identification of risk factors for invasive Escherichia coli disease using machine learning.
BMC infectious diseases
Aug 8, 2024
BACKGROUND: Invasive Escherichia coli disease (IED), also known as invasive extraintestinal pathogenic E. coli disease, is a leading cause of sepsis and bacteremia in older adults that can result in hospitalization and sometimes death and is frequent...
Discrimination of Common Strains in Urine by Liquid Chromatography-Ion Mobility-Tandem Mass Spectrometry and Machine Learning.
Journal of the American Society for Mass Spectrometry
Aug 5, 2024
Accurate identification of bacterial strains in clinical samples is essential to provide an appropriate antibiotherapy to the patient and reduce the prescription of broad-spectrum antimicrobials, leading to antibiotic resistance. In this study, we ut...
Random forest differentiation of Escherichia coli in elderly sepsis using biomarkers and infectious sites.
Scientific reports
Jun 5, 2024
This study addresses the challenge of accurately diagnosing sepsis subtypes in elderly patients, particularly distinguishing between Escherichia coli (E. coli) and non-E. coli infections. Utilizing machine learning, we conducted a retrospective analy...
Machine-learning-based risk assessment tool to rule out empirical use of ESBL-targeted therapy in endemic areas.
The Journal of hospital infection
Apr 27, 2024
BACKGROUND: Antimicrobial stewardship focuses on identifying patients who require extended-spectrum beta-lactamase (ESBL)-targeted therapy. 'Rule-in' tools have been researched extensively in areas of low endemicity; however, such tools are inadequat...
Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli.
Communications biology
Nov 14, 2023
The rise of antimicrobial resistance (AMR) is one of the greatest public health challenges, already causing up to 1.2 million deaths annually and rising. Current culture-based turnaround times for bacterial identification in clinical samples and anti...
Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity.
eLife
Aug 26, 2022
Microorganisms growing in their habitat constitute a complex system. How the individual constituents of the environment contribute to microbial growth remains largely unknown. The present study focused on the contribution of environmental constituent...
Research Note: Longitudinal monitoring of chicken houses in a commercial layer farm for antimicrobial resistance in Escherichia coli with special reference to plasmid-mediated quinolone resistance.
Poultry science
Dec 12, 2019
Plasmid-mediated quinolone resistance (PMQR) genes located on conjugative plasmids can be transferred to other bacteria in the absence of antimicrobial selective pressure. To elucidate the prevalence of resistance, including PMQR in an egg-producing ...
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