Wastewater surveillance became a popular choice among public health officials looking to track rapid virus mutations and spread patterns during the COVID-19 pandemic. But what if there was a way to detect emerging virus pathogens even faster — or to even sniff out new variants possibly before patients even realize they’re ill? A new UNLV-led study is moving that dream one step closer to reality by pairing wastewater sample surveillance with artificial intelligence. The results appear in the latest issue of the journal Nature Communications.

UNLV researchers are now using the help of AI to look at wastewater samples for viruses before people experience symptoms.

A new study and new research formulated at UNLV is leading the way to track rapid virus mutations and spread patterns, especially during the Covid-19 pandemic.

As industries across sectors explore the potential of artificial intelligence, researchers are transforming wastewater monitoring into sophisticated digital detective work.

Pairing artificial intelligence (AI) with wastewater surveillance may enable public health authorities to identify emerging viruses earlier than current methods, according to a new study led by the University of Nevada, Las Vegas (UNLV). The findings were published in Nature Communications.

UNLV-led study shows how AI can help detect viruses in wastewater.