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Home » Philips, DoD develop AI-based predictive algorithm for early infection detection
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Philips, DoD develop AI-based predictive algorithm for early infection detection

Oct. 23, 2019
By Meg Bryant
Diagnosis and treatment of infections typically occurs after people exhibit obvious signs of illness, such as fever or a cough. By then, they may already have exposed others and are well on the way to developing more serious symptoms themselves. In the military, such delays can hamper medical countermeasures to contain potential outbreaks and reduce downtime among active duty personnel. Now, Amsterdam-based Royal Philips NV and the U.S. Department of Defense's Defense Threat Reduction Agency and Defense Innovations Unit have built an early warning algorithm – using artificial intelligence – to detect infection before a person shows any signs or symptoms of infection.
BioWorld MedTech Diagnostics Artificial intelligence Digital health U.S.

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