Implementation of microbial whole-genome sequencing for individual patient care, local outbreak recognition and national surveillance.
In plain English
AI plain-English summaryA single patient sample currently takes days to months to get a full microbial work-up, but this project aims to shrink that to under 24 hours by putting whole-genome sequencing directly into hospital labs. The problem is that today’s clinical microbiology relies on a patchwork of slow, disconnected tests—one for species, another for drug resistance, another for strain relatedness. Each is run separately, often at distant reference labs, delaying treatment and allowing infections to spread. The researchers argue that nearly all of this information is already encoded in a pathogen’s DNA, but no one has built the practical pipeline to extract it quickly at the bedside. If successful, the team will deploy a bench-top sequencing workflow and a suite of custom software across four NHS labs (Oxford, Brighton, Birmingham, Leeds). The system would automatically assemble genomes, predict antibiotic resistance and virulence, flag possible transmission chains, and feed results into national surveillance databases. A health-economic evaluation will test whether this approach is cheaper and faster than the current centralised model. The immediate impact is on infection control and individual patient care—faster, better-targeted antibiotics and real-time outbreak detection. The longer-term goal is a national rollout covering more pathogens, quietly strengthening the infrastructure that keeps hospital-acquired infections in check.
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