AIMC Topic: 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...
Humans Artificial Intelligence Machine Learning Anti-Bacterial Agents Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Decision Support Systems, Clinical Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Gram-Negative Bacterial Infections Levofloxacin Trimethoprim, Sulfamethoxazole Drug Combination Stenotrophomonas maltophilia
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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...
Deep Learning Evolution, Molecular Molecular Dynamics Simulation beta-Lactamases Protein Conformation Stenotrophomonas maltophilia
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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...
Humans Machine Learning Anti-Bacterial Agents Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Genomics Bacterial Proteins Mutation Whole Genome Sequencing Gram-Negative Bacterial Infections Levofloxacin Genome, Bacterial Trimethoprim, Sulfamethoxazole Drug Combination Stenotrophomonas maltophilia
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