Houston-based imaware, which has an at-home COVID-19 testing process, is working with Texas A&M University on researching how the virus affects the human body. Getty Images

An ongoing medical phenomenon is determining how COVID-19 affects people differently — especially in terms of severity. A new partnership between a Houston-based digital health platform and Texas A&M University is looking into differences in individual risk factors for the virus.

Imaware, which launched its at-home coronavirus testing kit in April, is using its data and information collected from the testing process for this new study on how the virus affects patients differently.

"As patient advocates, we want to aid in the search to understand more about why some patients are more vulnerable than others to the deadly complications of COVID-19," says Jani Tuomi, co-founder of imaware, in a press release. "Our current sample collection process is an efficient way to provide longitudinal prospectively driven data for research and to our knowledge, is the only such approach that is collecting, assessing, and biobanking specimens in real time."

Imaware uses a third-party lab to conduct the tests at patients' homes following the Center for Disease Control's guidelines and protocol. During the test, the medical professional takes additional swabs for the study. The test is then conducted by Austin-based Wheel, a telemedicine group.

Should the patient receive positive COVID-19 results, they are contacted by a representative of Wheel with further instructions. They are also called by a member of a team led by Dr. Rebecca Fischer, an infectious disease expert and epidemiologist and laboratory scientist at the Texas A&M University School of Public Health, to grant permission to be a part of the study.

Once a part of the study, the patient remains in contact with Fischer's team, which tracks the spread and conditions of the virus in the patient. One thing the researchers are looking for is the patients' responses to virus complications caused by an overabundance of cytokines, according to the press release. Cytokines are proteins in the body that fight viruses and infections, and, if not working properly, they can "trigger an over-exuberant inflammatory response" that can cause potentially deadly issues with lung and organ failure or worse, per the release.

"We believe strongly in supporting this research, as findings from the field can be implemented to improve clinical processes-- helping even more patients," says Wheel's executive medical director, Dr. Rafid Fadul.

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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.”