A desktop diagnosis tool that detects the presence of harmful bacteria in a blood sample in a matter of hours instead of days has been developed by engineers at the University of California San Diego. This was made possible by a combination of proprietary chemistry, innovative electrical engineering and high-end imaging and analysis techniques powered by machine learning. The details of the team’s work are published in Scientific Reports.
Researchers melted bacterial DNA in 20,000 extremely small simultaneous reactions to identify low levels of harmful bacteria among a large number of human blood cells. One drop of rain contains hundreds