Houston hospital taps new tech to provide more accurate COVID-19 diagnostics and treatment

hand held

CHI St. Luke's Health has invested in around 40 of the Butterfly iQ devices that can be used to provide accurate and portable ultrasonography on COVID-19 patients. Photo courtesy of CHI St. Luke's

With such a dynamic virus like COVID-19 that affects patients with different levels of severity, the first challenge doctors face when treating infected patients is assessing the situation. CHI St. Luke's Health has been implementing a new technology that allows its physicians better access to that initial diagnosis.

Dr. Jose Diaz-Gomez, an anesthesiologist at CHI St. Luke's Health and ultrasonography expert, says the Butterfly iQ's portable ultrasonography technology has been a key tool in his team's point of care for COVID-19 patients. Over the past few years, ultrasonography equipment has been evolving to be more portable and more accurate. That's what the Butterfly iQ technology provides, and Diaz-Gomez says his team was quick to realize how the technology can help in diagnostics and treatment of coronavirus patients.

A traditional approach to examining a patient's lungs would mean radiography, but Diaz-Gomez says his team saw the opportunity ultrasonography and these new, portable devices had on providing more accurate and timely diagnostics.

"In conditions that are dynamic, you want to have a diagnostic tool that, over time as you're treating a patient, you can see meaningful changes — good or bad," Diaz-Gomez says. "The pandemic has enabled us to use — from the initial care to when they are on the ventilator — ultrasonography to see the changes in the patient's' lungs."

Jose Diaz-Gomez is an anesthesiologist at CHI St. Luke's. Photo courtesy of CHI St. Luke's

The Butterfly iQ device is different from its ultrasound predecessors in that it's built to be more accurate, portable, easy to use, and low cost (even being made available for commercial purchase). According to Diaz-Gomez, he could train someone on the device in just a few hours.

Ahead of the pandemic, CHI St. Luke's had 20 of these devices and now has doubled that initial fleet. Along with the other non-Butterfly iQ ultrasonography devices, Diaz-Gomez's team has access to 70 ultrasonography devices — 80 percent of which are dedicated to COVID-19 patients.

"Our institution was very supportive of bringing a very robust roll-out program for point-of-care ultrasonography during the pandemic," Diaz-Gomez says. "We were able to incorporate 40 ultrasound devices — the Butterfly system. Not only that, we actually implemented a very rigorous infection control process to make sure we do it in a safe manner. You don't want to bring tools that will be another source of transmission from patient to patient."

While this new technology is continuing to make a difference in St. Luke's COVID units, Diaz-Gomez is already looking forward to the difference the devices will make post pandemic.

"Whatever we will face after the pandemic, many physicians will be able to predict more objectively when a patient is deteriorating from acute respiratory failure," he says. "Without this innovation, we wouldn't have been able to be at higher standards with ultrasonography."

The device, with its portability, low cost, and ease of use, also has an application for telemedicine and at-home health, and that's something that's exciting for Diaz-Gomez. However, both in his COVID units or in the home setting, the device is only as good as the clinician who's interpreting the images paired with the other diagnostics.

"The integration of ultrasonography with the clinical practice itself — it has to go hand in hand," Diaz-Gomez says. "The clinical decision will depend on that integration."

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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

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.”

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