By coupling machine learning with whole genome sequencing, scientists at the University of Pittsburgh School of Medicine and Carnegie Mellon University have greatly improved the rapid detection of infectious disease outbreaks in a hospital over traditional outbreak tracking methods.
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– Combining AI and genome monitoring to detect of medical infection outbreaks
– Machine learning, whole genome sequencing detects disease outbreaks
– AI and genome sequencing beat people in outbreak detection
– A new way to stop the spread of disease in hospitals
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