LC-SRM combined with machine learning enables fast identification and quantification of bacterial pathogens in urinary tract infections
Clarisse Gotti, Florence Roux‐Dalvai, Ève Bérubé, Antoine Lacombe-Rastoll, Mickaël Leclercq, Cristina C. Jacob, Maurice Boissinot, Cláudia P.B. Martins, Neloni R. Wijeratne, Michel G. Bergeron, Arnaud Droit
This paper develops a method combining LC-SRM and machine learning to rapidly identify and quantify bacterial pathogens in UTIs with high accuracy.
Molecular & Cellular Proteomics · Aug 22, 2024Peer-reviewedMicrobiology