Can pathological measures such as inflammatory cascades be matched to clinical observations to guide antimicrobial choice in intensive care? Can these patterns predict disease severity and/or potential microbial clones and therefore likely patterns of resistance? Can this data detect or predict clinical response to guide changes in antimicrobial coverage or downscaling of antimicrobial cover in intensive care limiting inappropriate antimicrobial use? This project will investigate the answers to these questions.
Supervisors
