{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["38"],"submitter":["Cai C"],"pubmed_abstract":["<h4>Introduction</h4>Carbapenem-resistant <i>Klebsiella pneumoniae</i> (CRKP) poses a significant public health threat. Rapid detection of CRKP and its resistance mechanisms is essential for optimizing antibiotic therapy and infection control. However, clinical implementation faces several challenges.<h4>Methods</h4>Machine learning classifiers were applied using MALDI-TOF MS data to discriminate KPC-type, NDM-type CRKP, and carbapenem-susceptible strains (CSKP). Model performance was validated across platforms and strain collections. SHapley Additive exPlanations (SHAP) analysis and phylogenetic reconstruction were used to interpret feature contributions and genetic determinants.<h4>Results</h4>Significant spectral divergence was observed among <i>K. pneumoniae</i> phenotypes, particularl"],"journal":["Journal of mass spectrometry and advances in the clinical lab"],"pagination":["71-80"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12648985"],"repository":["biostudies-literature"],"pubmed_title":["Interpretable machine learning of clinical MALDI-TOF spectra discriminates carbapenem-resistant &lt;i&gt;Klebsiella pneumoniae&lt;/i&gt; while revealing phylogenetic heterogeneity that limits model generalizability."],"pmcid":["PMC12648985"],"pubmed_authors":["Cai C","Fang Z","Yuan P","Zeng N","Zou M","Chen M","Zhou H","Zhong L","Chen D"],"additional_accession":[]},"is_claimable":false,"name":"Interpretable machine learning of clinical MALDI-TOF spectra discriminates carbapenem-resistant &lt;i&gt;Klebsiella pneumoniae&lt;/i&gt; while revealing phylogenetic heterogeneity that limits model generalizability.","description":"<h4>Introduction</h4>Carbapenem-resistant <i>Klebsiella pneumoniae</i> (CRKP) poses a significant public health threat. Rapid detection of CRKP and its resistance mechanisms is essential for optimizing antibiotic therapy and infection control. However, clinical implementation faces several challenges.<h4>Methods</h4>Machine learning classifiers were applied using MALDI-TOF MS data to discriminate KPC-type, NDM-type CRKP, and carbapenem-susceptible strains (CSKP). Model performance was validated across platforms and strain collections. SHapley Additive exPlanations (SHAP) analysis and phylogenetic reconstruction were used to interpret feature contributions and genetic determinants.<h4>Results</h4>Significant spectral divergence was observed among <i>K. pneumoniae</i> phenotypes, particularl","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-05-19T03:27:40.784Z","creation":"2026-05-19T03:12:24.755Z"},"accession":"S-EPMC12648985","cross_references":{"pubmed":["41311462"],"doi":["10.1016/j.jmsacl.2025.11.003"]}}