Machine learning and matrix-assisted laser desorption/ionization time-of-flight mass spectra for antimicrobial resistance prediction: A systematic review of recent …

XA López-Cortés, JM Manríquez-Troncoso… - … of Chromatography A, 2024 - Elsevier
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 …

Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy

F Pennisi, A Pinto, GE Ricciardi, C Signorelli… - European Journal of …, 2025 - Springer
The increasing threat of antimicrobial resistance has prompted a need for more effective
antimicrobial stewardship programs (AMS). Artificial intelligence (AI) and machine learning …

Combination of MALDI-TOF Mass Spectrometry and Machine Learning for Rapid Antimicrobial Resistance Screening: The Case of Campylobacter spp.

M Feucherolles, M Nennig, SL Becker… - Frontiers in …, 2022 - frontiersin.org
While MALDI-TOF mass spectrometry (MS) is widely considered as the reference method for
the rapid and inexpensive identification of microorganisms in routine laboratories, less …

Direct prediction of carbapenem-resistant, carbapenemase-producing, and colistin-resistant Klebsiella pneumoniae isolates from routine MALDI-TOF mass spectra …

J Yu, YT Lin, WC Chen, KH Tseng, HH Lin… - International Journal of …, 2023 - Elsevier
The objective of this study was to develop a rapid prediction method for carbapenem-
resistant Klebsiella pneumoniae (CRKP) and colistin-resistant K. pneumoniae (ColRKP) …

Analysis of high-molecular-weight proteins using MALDI-TOF MS and machine learning for the differentiation of clinically relevant Clostridioides difficile ribotypes

A Candela, D Rodriguez-Temporal… - European Journal of …, 2024 - Springer
Purpose Clostridioides difficile is the main cause of antibiotic related diarrhea and some
ribotypes (RT), such as RT027, RT181 or RT078, are considered high risk clones. A fast and …

Discrimination between hypervirulent and non-hypervirulent ribotypes of Clostridioides difficile by MALDI-TOF mass spectrometry and machine learning

AMM Abdrabou, I Sy, M Bischoff, MJ Arroyo… - European Journal of …, 2023 - Springer
Abstract Hypervirulent ribotypes (HVRTs) of Clostridioides difficile such as ribotype (RT) 027
are epidemiologically important. This study evaluated whether MALDI-TOF can distinguish …

Contribution of machine learning for subspecies identification from Mycobacterium abscessus with MALDI‐TOF MS in solid and liquid media

A Godmer, L Bigey, Q Giai‐Gianetto… - Microbial …, 2024 - Wiley Online Library
Mycobacterium abscessus (MABS) displays differential subspecies susceptibility to
macrolides. Thus, identifying MABS's subspecies (M. abscessus, M. bolletii and M …

Repurposing MALDI-TOF MS for effective antibiotic resistance screening in Staphylococcus epidermidis using machine learning

M Ren, Q Chen, J Zhang - Scientific Reports, 2024 - nature.com
The emergence of Staphylococcus epidermidis as a significant nosocomial pathogen
necessitates advancements in more efficient antimicrobial resistance profiling. However …

Ampicillin-susceptible Enterococcus faecium infections: clinical features, causal clades, and contribution of MALDI-TOF to early detection

H Faury, R Le Guen, V Demontant… - Microbiology …, 2023 - Am Soc Microbiol
Enterococcus faecium, a common resident of the human gastrointestinal tract, is also a
major pathogen. Prompt initiation of appropriate treatment is essential to improve patient …

Rapid Discrimination of Pseudomonas aeruginosa ST175 Isolates Involved in a Nosocomial Outbreak Using MALDI‐TOF Mass Spectrometry and FTIR Spectroscopy …

A Candela, MJ Arroyo… - Transboundary and …, 2023 - Wiley Online Library
The goal of this study was to evaluate matrix‐assisted laser desorption ionization–iime of
flight mass spectrometry (MALDI‐TOF MS) and Fourier‐transform infrared spectroscopy …