These are the latest COVID-19-focused research projects happening at Houston institutions. Photo via Getty Images

Researchers across Houston are working on COVID-19 innovations every day, and scientists are constantly finding new ways this disease is affecting humankind.

Wastewater detection, mental illness effects, a software solution to testing — here's your latest roundup of research news in Houston.

Baylor College of Medicine working in a group to detect SARS-CoV2 in wastewater

A team of scientists are testing Houston wastewater for traces of SARS-CoV2. Photo by Dwight C. Andrews/Greater Houston Convention and Visitors Bureau

According to researchers at Baylor College of Medicine, who are working in partnership with the Houston Health Department and Rice University, testing the city's wastewater for SARS-CoV2 can help predict where outbreaks are likely to happen.

In May, researchers analyzed wastewater samples that were collected every week from 39 sites in the city and found traces of the virus. The research project was directed by Baylor microbiologist Dr. Anthony Maresso, director of BCM TAILOR Labs.

"This is not Houston's first infectious disease crisis," Maresso says in a news release. "Wastewater sampling was pioneered by Joseph Melnick, the first chair of Baylor's Department of Molecular Virology and Microbiology, to get ahead of polio outbreaks in Houston in the 1960s. This work essentially ushered in the field of environmental virology, and it began here at Baylor. TAILOR Labs is just continuing that tradition by providing advanced science measures to support local public health intervention."

The researchers will continue into 2021 and are working with the city and local governments on their findings.

"It's a cost effective way to gauge Houston's total viral load. It tracks well ahead of positivity rate, 10 days in some cases," sways Dr. Austen Terwilliger, director of operations at TAILOR, in the release. "At the moment, we are at the lowest viral levels since we started sampling, which is excellent news."

University of Houston researchers looking into effect of pandemic on mental illness

Michael Zvolensky, University of Houston professor of psychology, is studying substance abuse as a coping method amid COVID-19. Photo via UH.edu

While physical health and economic impacts of the coronavirus have been the focus of attention amid the pandemic, mental health effects are estimated to inflict more damage if not address, according to new research by Michael Zvolensky, University of Houston professor of psychology and director of the Anxiety and Health Research Laboratory/Substance Use Treatment Clinic.

Zvolensky has published two papers on his research discussing the psychological behavior issues related to the COVID-19 pandemic from a behavioral science perspective, according to a press release from UH.

"The impact of COVID-19 on psychological symptoms and disorders, addiction and health behavior is substantial and ongoing and will negatively impact people's mental health and put them at greater risk for chronic illness and drug addiction," reports Zvolensky in Behaviour Research and Therapy. "It will not equally impact all of society. Those at greater risk are those that have mental health vulnerabilities or disorders."

For those who 'catastrophize' the pandemic, Zvolensky explains in his paper, the impact from stress is increased — as is the possibility for substance abuse.

"That sets in motion a future wave of mental health, addiction and worsening health problems in our society. It's not going to go away, even with a vaccination, because the damage is already done. That's why we're going to see people with greater health problems struggling for generations," says Zvolensky in the release.

He evaluated a group of 160 participants on pandemic-related fear and worry and substance abuse as a coping method. The "results may provide critical clinical information for helping individuals cope with this pandemic," he says.

Bioinformatics research group at Rice University is designing novel SARS-CoV-2 test

Rice University bioinformatics researcher Todd Treangen has created a software solution for a COVID-19 test. Photo via rice.edu

Can software help save lives in this pandemic? A Rice University computer scientist thinks it's worth a shot.

Bioinformatics researcher Todd Treangen is working with a molecular diagnostics company to optimize the design and computational evaluation of molecular detection assays for viral RNA of SARS-CoV-2, according to a press release from Rice. Great Basin Scientific and the Rice researchers hope their work will streamline the development and commercialization of COVID-19 testing.

"This exciting collaboration with Great Basin will allow for computational methods and software developed in my research group to directly contribute to fast, sensitive and affordable detection and monitoring of SARS-CoV-2 and emerging pathogens," Treangen said.

The company, which is based in Salt Lake City, will use Treangen lab's novel bioinformatics software called OliVar to work on the diagnostic test. Great Basin Scientific is expected to seek emergency use authorization for the test from the Food and Drug Administration later this year.

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”