A proof-of-concept study demonstrates the potential of MALDI-TOF MS for bacterial strain typing across four key pathogens, and reveals that center- and instrument-specific variation can substantially affect performance.
The Extra Trees Classifier consistently achieved the highest average accuracy and F1-score in both Gram type classification and species-level identification, demonstrating superior generalization across datasets.
Georgios Dolias, O. Bragina, Andres Udal et al.· Scientific Reports· 0 citations
A novel multi-label, multi-bacteria classification framework (MLMBC) that simultaneously predicts AMR across multiple bacterial species and antibiotics using MALDI-TOF mass spectrometry data and Convolutional Neural Networks (CNNs).
Leila Aro-Sati, Xaviera A. López-Cortés, José M. Manrıquez Troncoso et al.· Neural computing & applicati...· 0 citations
This approach reframes the resistance prediction task from inferring a resistance phenotype to detecting a conserved plasmid through its expressed proteomic signature and has the potential to enable rapid MALDI-TOF MS-based diagnostics for a wide range of plasmid-based resistance determinants.
Janko Sattler, J. Mueller-Reif, Dexiong Chen et al.· bioRxiv· 0 citations
The feasibility of portable Raman spectroscopy combined with machine learning for bacterial recognition under standardized sample conditions is supported, and pairwise binary classification showed variable performance among bacterial pairs.
Shisheng Cao, Ran Pang, Yongqiang Chen et al.· Frontiers in Microbiology· 0 citations
On-plate FA pretreatment significantly enhances identification accuracy and diagnostic confidence for Gram-positive bacteria in routine MALDI-TOF MS workflows and is proposed as a pragmatic, score-based, and species-aware diagnostic algorithm.
Abdurrahman Gülmez, A. N. Ceylan, Selda Kömeç et al.· OSMANGAZİ JOURNAL OF MEDICIN...· 0 citations
ABSTRACT Rapid and accurate characterization of antimicrobial resistance is essential for effective patient treatment and outcomes. Infection‐causing microorganisms often harbour multi‐drug resistance, requiring multiple tests for identification. Here, we present a multiplex functional assay using liquid atmospheric pr...
Lily R. Adair, Shabnam Iyer, Ian M. Jones et al.· Advancement of science· 0 citations
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