AIMC Topic: Stenotrophomonas maltophilia

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Impact of COVID-19 isolation measures on ICU microbial resistance dynamics: simulation-based statistical modeling analysis.

Antimicrobial resistance and infection control Nov 18, 2025
BACKGROUND: The transmission of antibiotic-resistant bacteria in intensive care units (ICUs) poses a significant challenge to infection control and patient safety. While direct patient-to-patient transmission is well documented, the relative contribu...
Klebsiella pneumoniae Models, Statistical SARS-CoV-2 Infection Control Czech Republic Stenotrophomonas maltophilia Pseudomonas aeruginosa Cross Infection Humans Anti-Bacterial Agents COVID-19 Retrospective Studies Drug Resistance, Bacterial Intensive Care Units
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Implementing an AI-enhanced clinical decision support system for Stenotrophomonas maltophilia: a survey-based randomized controlled trial of antibiotic precision and impact on survival.

Implementation science : IS Oct 24, 2025
BACKGROUND: The World Health Organization has identified Stenotrophomonas maltophilia (SM) as a high-risk antibiotic-resistant pathogen. Notably, determining the effectiveness of current antibiotics against SM is challenging, leading to improper ther...
Female Adult Drug Resistance, Bacterial Decision Support Systems, Clinical Gram-Negative Bacterial Infections Male Middle Aged Humans Artificial Intelligence Anti-Bacterial Agents Stenotrophomonas maltophilia
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Innovative strategies against superbugs: Developing an AI-CDSS for precise Stenotrophomonas maltophilia treatment.

Journal of global antimicrobial resistance Jun 22, 2024
OBJECTIVES: The World Health Organization named Stenotrophomonas maltophilia (SM) a critical multi-drug resistant threat, necessitating rapid diagnostic strategies. Traditional culturing methods require up to 96 h, including 72 h for bacterial growth...
Stenotrophomonas maltophilia Levofloxacin Machine Learning Gram-Negative Bacterial Infections Humans Trimethoprim, Sulfamethoxazole Drug Combination Anti-Bacterial Agents Artificial Intelligence Decision Support Systems, Clinical Microbial Sensitivity Tests Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Drug Resistance, Multiple, Bacterial
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Deciphering the Coevolutionary Dynamics of L2 β-Lactamases via Deep Learning.

Journal of chemical information and modeling Apr 30, 2024
L2 β-lactamases, serine-based class A β-lactamases expressed by , play a pivotal role in antimicrobial resistance (AMR). However, limited studies have been conducted on these important enzymes. To understand the coevolutionary dynamics of L2 β-lactam...
beta-Lactamases Deep Learning Stenotrophomonas maltophilia Evolution, Molecular Protein Conformation Molecular Dynamics Simulation
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Genomic and machine learning approaches to predict antimicrobial resistance in .

Microbiology spectrum Aug 5, 2025
UNLABELLED: is a multidrug-resistant pathogen, which poses a major challenge to clinical management due to its increasing resistance to common antibiotics, such as levofloxacin (LEV) and trimethoprim-sulfamethoxazole (SXT), and poor clinical respons...
Stenotrophomonas maltophilia Genome, Bacterial Trimethoprim, Sulfamethoxazole Drug Combination Levofloxacin Humans Bacterial Proteins Machine Learning Anti-Bacterial Agents Mutation Drug Resistance, Multiple, Bacterial Microbial Sensitivity Tests Whole Genome Sequencing Genomics Gram-Negative Bacterial Infections
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