AIMC Topic: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Machine learning approaches in MALDI-MSI: clinical applications.
Expert review of proteomics
Jun 23, 2016
INTRODUCTION: Despite the unquestionable advantages of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging in visualizing the spatial distribution and the relative abundance of biomolecules directly on-tissue, the yielded data is co...
The application of fuzzy statistics and linear discriminant analysis as criteria for optimizing the preparation of plasma for matrix-assisted laser desorption/ionization mass spectrometry peptide profiling.
Clinica chimica acta; international journal of clinical chemistry
Jul 9, 2015
An alternative bioinformatics approach based on fuzzy theory statistics and linear discriminant analysis is proposed for the interpretation of MALDI MS spectra in peptide profiling. When applied, the methodology enables the establishment of a reprodu...
Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study.
Emerging microbes & infections
Dec 1, 2025
OBJECTIVES: Methicillin-resistant (MRSA) is a major public health concern because of its genotypic diversity and association with severe infections, particularly those caused by strains carrying Panton-Valentine leukocidin (PVL). This study aimed to...
Discrimination of Klebsiella pneumoniae and Klebsiella quasipneumoniae by MALDI-TOF Mass Spectrometry Coupled With Machine Learning.
MicrobiologyOpen
Aug 1, 2025
Klebsiella species, including Klebsiella pneumoniae and Klebsiella quasipneumoniae, present significant challenges in clinical microbiology due to their genetic similarity, which complicates accurate species identification using established methods, ...
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
Humans
Artificial Intelligence
Machine Learning
Anti-Bacterial Agents
Microbial Sensitivity Tests
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...
High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.
The Analyst
May 12, 2025
Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy loss (RPL) being a prevalent cause of infertility among women. This condition causes immense emotional and physical distress for affected individuals an...
Integrating MALDI-TOF Mass Spectrometry with Machine Learning Techniques for Rapid Antimicrobial Resistance Screening of Foodborne Bacterial Pathogens.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2025
Although MALDI-TOF mass spectrometry (MS) is considered as the gold standard for rapid and cost-effective identification of microorganisms in routine laboratory practices, its capability for antimicrobial resistance (AMR) detection has received limit...
Contribution of machine learning for subspecies identification from Mycobacterium abscessus with MALDI-TOF MS in solid and liquid media.
Microbial biotechnology
Sep 1, 2024
Mycobacterium abscessus (MABS) displays differential subspecies susceptibility to macrolides. Thus, identifying MABS's subspecies (M. abscessus, M. bolletii and M. massiliense) is a clinical necessity for guiding treatment decisions. We aimed to asse...
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