Accelerated prediction of virulence and antibiotic susceptibility for bacteria causing bloodstream infections using MALDI clinical diagnostics

Lead Research Organisation: University of Bristol
Department Name: Bristol Medical School

Abstract

In life-threatening infections, timely and appropriate antibiotics improve outcomes but testng for antibiotic sensitivities is lsow. Our novel machine learning helps detect bacterial types associated with enhanced virulence and resistance from routine MALDI mass spectrometry data. You will develop and validate this approach for clinically-important Klebsiella pneumoniae and Escherichia coli additionally performing gene knockout experiments and bioinformatics.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
MR/W006308/1 01/10/2022 30/09/2028
2897050 Studentship MR/W006308/1 02/10/2023 01/10/2027 MENG DU