While no cases have been reported in Nevada, researchers at the University of Nevada, Las Vegas, who conduct local wastewater surveillance and have monitored COVID-19 variants, say hantavirus is not currently included in their testing panel. However, they note that detection may be possible since the virus is shed through urine. Researchers say it is something they will continue to monitor as they consider targeted applications.

Roseman University of Health Sciences has opened a biotech incubator that many people hope will be another key component of diversifying Southern Nevada’s economy. Two women are creating content for YouTube that they hope will help dementia patients and caregivers face their journey with grace and humor. 

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.

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 viruses even faster - or to even sniff out new variants possibly before patients even realize they're ill?

Researchers at the University of Nevada, Las Vegas (UNLV), in collaboration with the Southern Nevada Water Authority and other partners, have developed an artificial intelligence algorithm to accelerate wastewater surveillance for emerging viruses and pathogens. Validated through analysis of nearly 3,700 wastewater samples collected between 2021 and 2023, the system accurately identified unique viral signatures with as few as two to five samples, preceding conventional clinical detection methods. This proactive approach, detailed in a study published on July 8, 2025, aims to enhance public health interventions by detecting outbreaks before patients seek treatment, and is one of over 30 collaborations between the involved organisations.

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 viruses even faster — or to even sniff out new variants possibly before patients even realize they’re ill?

Levels of the chlamydia-causing microbe in Las Vegas wastewater increased following holidays and major events, according to an analysis presented Sunday at ASM Microbe. Wastewater surveillance has been used to track changes in the prevalence of SARS-CoV-2 and increasingly other pathogens like influenza and RSV to inform public health officials about the state of infectious disease in the community.