Ana Paula D’Alincourt Carvalho-Assef

This paper introduces DeepMDC, a deep learning model for predicting antimicrobial resistance in Klebsiella pneumoniae using whole-genome data, achieving strong performance and providing interpretable insights into resistance mechanisms.

This study compares Fourier Transform Infrared Spectroscopy (FT-IR) using IR Biotyper with cgMLST for clonal typing of Phytobacter diazotrophicus outbreak isolates, finding strong agreement between the methods.

The paper updates and expands the gene regulatory network of multidrug-resistant Pseudomonas aeruginosa CCBH4851, revealing a more complex network structure.

This study characterizes the genome of a multidrug-resistant Pseudomonas aeruginosa strain, identifying genomic features and resistance mechanisms.

The paper reconstructs a gene regulatory network for multidrug-resistant Pseudomonas aeruginosa and finds it to be more comprehensive than previous versions.