AI and genomic surveillance combine to detect infectious disease outbreaks
By Nathan Langer/UPMC By coupling machine learning with whole genome sequencing, University of Pittsburgh School of Medicine and Carnegie Mellon University scientists greatly improved the quick detection of infectious disease outbreaks within a hospital setting over traditional methods for tracking outbreaks.