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Culture-independent susceptibility determination of E. coli isolated directly from patients’ urine using FTIR and machine-learning

https://doi.org/10.1039/d2an01253g
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Molecular Mechanisms of Antibacterial Multidrug Resistance
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Urinary Tract Infection Syndromes
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Management of Urinary Tract Infections From Multidrug-Resistant Organisms
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Infra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa’s susceptibility to antibiotics
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Analytical applications of Fourier transform-infrared (FT-IR) spectroscopy in microbiology and prion research
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Recent advances in rapid antimicrobial susceptibility testing systems
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Urinary Tract Infections: Disease Panorama and Challenges
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Classification and identification of bacteria by Fourier-transform infrared spectroscopy
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Other antimicrobials of interest in the era of extended-spectrum β-lactamases: fosfomycin, nitrofurantoin and tigecycline
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THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
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Fourier Transform Infrared Spectroscopic Analysis of Protein Secondary Structures
inferredcites →https://doi.org/10.1126/science.257.5073.1064openalex-snapshot
The Crisis in Antibiotic Resistance
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Amoxicillin Therapy of Acute Urinary Infections in Adults
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Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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FOURIER TRANSFORM INFRARED VIBRATIONAL SPECTROSCOPIC IMAGING: Integrating Microscopy and Molecular Recognition
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Multidrug Resistance: An Emerging Crisis
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4786338openalex-extracted
Early and Swift Phyto-Fungus Identification Using Infrared Spectroscopy
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Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy
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Simultaneous removal of antibiotic-resistant bacteria and resistance genes by biochar hydrogel coated FeMoS activating peroxymonosulfate: Performance and mechanisms
inferred← citeshttps://doi.org/10.1016/j.saa.2023.122634openalex-snapshot
Detection of extended-spectrum β-lactamase-producing bacteria isolated directly from urine by infrared spectroscopy and machine learning
inferred← citeshttps://doi.org/10.1016/j.saa.2024.124141openalex-snapshot
Infrared spectroscopy-based machine learning algorithms for rapid detection of Klebsiella pneumoniae isolated directly from patients' urine and determining its susceptibility to antibiotics
inferred← citeshttps://doi.org/10.1016/j.saa.2024.125101openalex-snapshot
Early and swift identification of fungal-infection using infrared spectroscopy
inferred← citeshttps://doi.org/10.1016/j.talanta.2023.125619openalex-snapshot
Monitoring the efficacy of antibiotic therapy in febrile pediatric oncology patients with bacteremia using infrared spectroscopy of white blood cells-based machine learning
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Detection of antimicrobial resistance (AMR) and antimicrobial susceptibility testing (AST) using advanced spectroscopic techniques: A review
inferred← citeshttps://doi.org/10.1039/d2an01897gopenalex-snapshot
Instant detection of extended-spectrum β-lactamase-producing bacteria from the urine of patients using infrared spectroscopy combined with machine learning
inferred← citeshttps://doi.org/10.1039/d4ay00604fopenalex-snapshot
Significant reduction of the culturing time required for bacterial identification and antibiotic susceptibility determination by infrared spectroscopy
inferred← citeshttps://doi.org/10.1039/d5an01068copenalex-snapshot
Vibrational spectroscopy for rapid profiling of vancomycin susceptibility in Enterococci
inferred← citeshttps://doi.org/10.1080/05704928.2025.2541109openalex-snapshot
An exhaustive review and experimental exploration of clinical mid-range FTIR urine analysis
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Combating Antimicrobial Resistance: Spectroscopy Meets Machine Learning
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Quick Detection of Proteus and Pseudomonas in Patients’ Urine and Assessing Their Antibiotic Susceptibility Using Infrared Spectroscopy and Machine Learning
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