Rice University synthetic biologists created a device to demonstrate a new method that could slash the costs of creating wearable monitors for precision, automated drug dosing of chemotherapies and other drugs. Photo by Jeff Fitlow/Rice University

A team of Rice University researchers has built a technology that uses a $20 blood-glucose sensor to potentially automate dosing of practically any drug.

In a paper recently published in Nature, researchers in Caroline Ajo-Franklin’s lab shared that they were able to modify the inexpensive piece of equipment to detect afimoxifene, an estrogen inhibitor that is naturally produced by a patient’s body after taking the chemotherapy drug tamoxifen.

“The dream is to have technology similar to what’s available today for monitoring and treating variations in blood glucose, and have that be true for basically any drug,” said Ajo-Franklin, a bioscientist, cancer researcher and director of the Rice Synthetic Biology Institute in a press release from Rice University. “Millions of people use blood-glucose monitors every day. If we can use that same basic technology to monitor other drugs and biomarkers, we could move away from the one-size-fits-all dosing regimes that we’re stuck with today.”

The lead author of the study was postdoctoral research associate Rong Cai. She and the team tested more than 400 modified versions of the electron-releasing proteins (what creates the current that glucose monitors detect) until they found a version that reacted with afimoxifene. Essentially, they built an afimoxifene sensor that could reliably detect the presence of the drug.

According to Ajo-Franklin, her team is currently at work testing ways to identify drugs other than afimoxifene.

In a press release, Cai said, “The glucometer is the part that’s so well-developed. While our target is different, it’s just a matter of engineering and changing the protein on the inside. On the outside, everything will still be the same. You can still do the test with a strip or on your arm.”

Better still, she went on to say that because the signal is electrical, it can be sent to a phone or computer to be read and stored.

“That’s the part, that marriage between electricity and biology, that is very attractive,” Cai said.

Rice University synthetic biologists (from right to left) Caroline Ajo-Franklin, Chiagoziem Ngwadom and Rong Cai worked with Rice engineer Rafael Verduzco (left) to create and demonstrate a method of universalizing blood-glucose detection technology as a way of rapidly and inexpensively creating sensors that can monitor the dosing of chemotherapies and other drugs in real time. Photo by Jeff Fitlow/Rice University

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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.”