Repurposing MALDI-TOF MS for effective antibiotic resistance screening in Staphylococcus epidermidis using machine learning
Most Cited Paper
in Antimicrobial Resistance in Staphylococcus
18 Months Post-Publication
Class of 2026
“Repurposing MALDI-TOF MS for effective antibiotic resistance screening in Staphylococcus epidermidis using machine learning”
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Topics
MALDI-TOF MS · Staphylococcus epidermidis · Antimicrobial resistance patterns · machine learning · Antimicrobial susceptibility testing · feature selection · AUROC · AUPRC · Shapley Additive exPlanations (SHAP) · protein biomarkers · nosocomial pathogen · external validation · predictive models · mass spectrometry-based diagnostics · Antimicrobial resistance screening
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Antimicrobial Resistance in Staphylococcus Papers, Class of 2026. https://pri.pepkio.com/top-papers/antimicrobial-resistance-in-staphylococcus/2026. Accessed 2026-09-03. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459