ArticlePathogens (Basel, Switzerland)2025
AI-Enhanced FT-IR Spectroscopy: Evaluation of a Novel Tool for High-Throughput Serovar Typing of
Article in Pathogens (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- Quorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges.Archives of microbiology · 2026Review
- Evaluation of AI-enhanced FTIR spectroscopy for species and biovar typing of intracellular pathogenic Brucella spp.BMC microbiology · 2026Article
- Characterization ofPathogens (Basel, Switzerland) · 2026Article
- Fourier-transform infrared spectroscopy with machine learning for rapid O-serogrouping and typhi differentiation of clinicalFrontiers in microbiology · 2026Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid and accurate serotyping of MATERIALS AND
methodsA total of 143 isolates representing different
resultsThe IR Biotyper demonstrated high reproducibility and complete concordance with standard serotyping methods, enabling accurate differentiation of the most prevalent
conclusionsOur findings demonstrate the applicability of FT-IR in routine laboratory work, with the potential to reduce typing time, reduce the number of strains, and lower overall costs required for epidemiological surveillance within the One Health approach.
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Registered trials
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