Predicting <i>Pseudomonas aeruginosa</i> drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra.

When compared to baseline models using only dynamic binning features, integrating transfer learning showed higher AUROC values in 8 of 11 antimicrobials but did not reach statistical significance ( Table 1 ).

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