AIMC Topic: Klebsiella pneumoniae
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Pathogen Identification Direct From Polymicrobial Specimens Using Membrane Glycolipids.
Scientific reports
Oct 26, 2018
With the increased prevalence of multidrug-resistant Gram-negative bacteria, the use of colistin and other last-line antimicrobials is being revisited clinically. As a result, there has been an emergence of colistin-resistant bacterial species, inclu...
DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads.
PloS one
Jun 5, 2017
The MinION device by Oxford Nanopore produces very long reads (reads over 100 kBp were reported); however it suffers from high sequencing error rate. We present an open-source DNA base caller based on deep recurrent neural networks and show that the ...
Antimicrobial activity of ceftazidime-avibactam and comparator agents when tested against bacterial isolates causing infection in cancer patients (2013-2014).
Diagnostic microbiology and infectious disease
Nov 29, 2016
We evaluated the antimicrobial susceptibility of 623 Gram-negative organisms causing infection in patients with cancer in 52 United States hospitals (2013-2014) as part of the International Network for Optimal Resistance Monitoring (INFORM) program. ...
Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.
Microbial pathogenesis
Aug 1, 2025
Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising virulence and antibiotic resistance. As one of the leading members of ESKAPE pathogens, it plays a major role in a wide range of infections that cause ...
Real-time FT-IR typing of Klebsiella pneumoniae: a flexible and rapid approach for outbreak detection and infection control.
The Journal of antimicrobial chemotherapy
Jul 1, 2025
BACKGROUND: Expansion of carbapenemase-producing Klebsiella pneumoniae (CP-Kp) is driven by within-hospital transmission, requiring timely typing data for effective infection control.
Accelerating antimicrobial stewardship: An AI-CDSS approach to combating multidrug-resistant pathogens in the era of increasing resistance.
Clinica chimica acta; international journal of clinical chemistry
Jun 15, 2025
OBJECTIVES: The World Health Organization has identified Klebsiella pneumoniae (KP) and Pseudomonas aeruginosa (PA) as significant public health threats owing to high antibiotic resistance. Traditional antibiotic susceptibility testing (AST) methods,...
Pseudomonas aeruginosa
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Antimicrobial Stewardship
Drug Resistance, Multiple, Bacterial
Decision Support Systems, Clinical
Klebsiella pneumoniae
Machine Learning
Anti-Bacterial Agents
Microbial Sensitivity Tests
Humans
Artificial Intelligence
Rapid Identification and Typing of Carbapenem-Resistant Klebsiella pneumoniae Using MALDI-TOF MS and Machine Learning.
Microbial biotechnology
Jun 1, 2025
Use matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS) to screen the specific mass peaks of carbapenem-resistant Klebsiella pneumoniae (CRKP), compare the differences in spectrum peaks between intestinal and b...
Precise Detection of Carbapenem-Resistant and Hypervirulent Using MOF-Derived Bimetallic Nanocube Hybrid Nanosheet.
Analytical chemistry
May 13, 2025
Carbapenem resistance and hypervirulence represent two distinct evolutionary pathways in , posing significant challenges in clinical settings. Of particular concern are convergent strains that combine both traits, complicating timely diagnosis and tr...
Machine learning for identifying resistance features of using whole-genome sequence single nucleotide polymorphisms.
Journal of medical microbiology
Nov 1, 2021
, a gram-negative bacterium, is a common pathogen causing nosocomial infection. The drug-resistance rate of is increasing year by year, posing a severe threat to public health worldwide. has been listed as one of the pathogens causing the global c...
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