AIMC Topic: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Pioneering Klebsiella Pneumoniae Antibiotic Resistance Prediction With Artificial Intelligence-Clinical Decision Support System-Enhanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry: Retrospective Study.
Journal of medical Internet research
Nov 7, 2024
BACKGROUND: The rising prevalence and swift spread of multidrug-resistant gram-negative bacteria (MDR-GNB), especially Klebsiella pneumoniae (KP), present a critical global health threat highlighted by the World Health Organization, with mortality ra...
Discriminating fingerprints of chronic neuropathic pain following spinal cord injury using artificial neural networks and mass spectrometry analysis of female mice serum.
Neurochemistry international
Oct 23, 2024
Spinal cord injury (SCI) often leads to central neuropathic pain, a condition associated with significant morbidity and is challenging in terms of the clinical management. Despite extensive efforts, identifying effective biomarkers for neuropathic pa...
Diagnostic performance of an automated robot for MALDI target preparation in microbial identification.
Journal of clinical microbiology
Sep 19, 2024
The MBT Pathfinder is an automated colony-picking robot designed for efficient sample preparation in matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. This article presents results from three key experiments ev...
Artificial intelligence-clinical decision support system for enhanced infectious disease management: Accelerating ceftazidime-avibactam resistance detection in Klebsiella pneumoniae.
Journal of infection and public health
Sep 10, 2024
BACKGROUND: Effective and rapid diagnostic strategies are required to manage antibiotic resistance in Klebsiella pneumonia (KP). This study aimed to design an artificial intelligence-clinical decision support system (AI-CDSS) using matrix-assisted la...
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Azabicyclo Compounds
Ceftazidime
Microbial Sensitivity Tests
Drug Resistance, Multiple, Bacterial
Decision Support Systems, Clinical
Klebsiella pneumoniae
Klebsiella Infections
Drug Combinations
Artificial Intelligence
Machine Learning
Anti-Bacterial Agents
Humans
Accurate prediction of antimicrobial resistance and genetic marker of Staphylococcus aureus clinical isolates using MALDI-TOF MS and machine learning - across DRIAMS and Taiwan database.
International journal of antimicrobial agents
Sep 6, 2024
BACKGROUND: The use of matrix-assisted laser desorption/ionisation-time-of-flight mass spectra (MALDI-TOF MS) with machine learning (ML) has been explored for predicting antimicrobial resistance. This study evaluates the effectiveness of MALDI-TOF MS...
Humans
Machine Learning
Anti-Bacterial Agents
Staphylococcus aureus
Taiwan
Bacterial Proteins
Drug Resistance, Bacterial
Databases, Factual
Microbial Sensitivity Tests
Penicillin-Binding Proteins
Genetic Markers
Oxacillin
Staphylococcal Infections
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Machine learning and matrix-assisted laser desorption/ionization time-of-flight mass spectra for antimicrobial resistance prediction: A systematic review of recent advancements and future development.
Journal of chromatography. A
Aug 23, 2024
BACKGROUND: The use of matrix-assisted laser desorption/ionization time-of-flight mass spectra (MALDI-TOF MS) combined with machine learning techniques has recently emerged as a method to address the public health crisis of antimicrobial resistance. ...
LC-SRM Combined With Machine Learning Enables Fast Identification and Quantification of Bacterial Pathogens in Urinary Tract Infections.
Molecular & cellular proteomics : MCP
Aug 22, 2024
Urinary tract infections (UTIs) are a worldwide health problem. Fast and accurate detection of bacterial infection is essential to provide appropriate antibiotherapy to patients and to avoid the emergence of drug-resistant pathogens. While the gold s...
Integration of MALDI-TOF MS and machine learning to classify enterococci: A comparative analysis of supervised learning algorithms for species prediction.
Food chemistry
Aug 20, 2024
This research focused on distinguishing distinct matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) spectral signatures of three Enterococcus species. We evaluated and compared the predictive performance of fo...
Classification of subspecies based on MALDI-TOF MS protein profiles using machine learning models.
Microbiology spectrum
Aug 20, 2024
UNLABELLED: is an important bacterial species used as a starter culture for fermented foods; however, two subspecies within this species exhibit different properties in the foods. Matrix-assisted laser desorption/ionization-time of flight mass spect...
Predicting drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra.
mSystems
Aug 16, 2024
Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) is widely used in clinical microbiology laboratories for bacterial identification but its use for detection of antimicrobial resistance (AMR) remains limited....
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