The machine-learning-based method identifies relationships between bacterial strains and tracks their movements in less time, using less memory than existing solutions.
The UK developers believe that their device has the potential for multiplex testing at the point of care using solid-state nanopore sensing with DNA probes.
With genome-wide association studies involving more than 200,000 individuals, researchers narrowed in on 58 loci and dozens of genes with ties to a chronic infection marker.
