David L. Dowe

AMR-GNN predicts antimicrobial resistance using a graph neural network framework that integrates multiple genomic representations from whole-genome sequencing data.

This paper uses AI with MALDI-TOF mass spectra to predict antibiotic resistance in Pseudomonas aeruginosa, achieving high accuracy for specific drug combinations.

This study improves automated vein segmentation in MRI by combining susceptibility-weighted images, quantitative susceptibility maps, and a vein atlas into a composite vein image, showing significant performance gains.