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Rapid Species-Level Classification of Urinary Pathogens from Raw LC-MS/MS Signals Using Machine Learning

Simon J. Pelletier (25080802) et al.
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biochemistrybiotechnologycell-biologyinfectious-diseasesinorganic-chemistrymedicinemicrobiologyspace-science
Urinary tract infections are among the most common infections in humans, yet their diagnosis still depends on time-consuming workflows based on microbial culture, followed by MALDI-TOF mass spectrometry. Although LC-MS/MS offers the sensitivity and specificity needed to bypass culture, conventional
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