AI and genomic surveillance combine to detect health care infectious disease outbreaks

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. The results, published today in the journal Clinical Infectious Diseases, indicate a […]