Houston scientists are developing a soft sleep cap that tracks and stimulates the brain's "cleaning cycles" linked to Alzheimer’s disease and other dementias. Photo via Getty Images.

Researchers and scientists at Rice University and Houston Methodist are developing a “sleep cap” that aims to protect the brain against dementia and other similar diseases by measuring and improving deep sleep.

The project is a collaboration between Rice University engineering professors Daniel Preston, Vanessa Sanchez and Behnaam Aazhang; and Houston Methodist neurologist Dr. Timea Hodics and Dr. Gavin Britz, director of the Houston Methodist Neurological Institute and chairman of the Department of Neurosurgery.

According to Rice, deep sleep is essential for clearing waste products from the brain and nightly “cleaning cycles” help remove toxic proteins. These toxic proteins, like amyloids, can accumulate during the day and are linked to Alzheimer’s disease and other neurological issues.

Aazhang, director of the Rice Neuroengineering Initiative, and his team are building a system that not only tracks the brain’s clearing process but can also stimulate it, improving natural mechanisms that protect against neurodegeneration.

Earlier proof-of-concept versions of the caps successfully demonstrated the promise of this approach; however, they were rigid and uncomfortable for sleep.

Preston and Sanchez will work to transform the design of the cap into a soft, lightweight, textile-based version to make sleep easier, while also allowing the caps to be customizable and tailored for each patient.

“One of the areas of expertise we have here at Rice is designing wearable devices from soft and flexible materials,” Preston, an assistant professor of mechanical engineering, said in a news release. “We’ve already shown this concept works in rigid device prototypes. Now we’re building a soft, breathable cap that people can comfortably wear while they sleep.”

Additionally, the research team is pursuing ways to adapt their technology to measure neuroinflammation and stimulate the brain’s natural plasticity. Neuroinflammation, or swelling in the brain, can be caused by injury, stroke, disease or lifestyle factors and is increasingly recognized as a driver of neurodegeneration, according to Rice.

“Our brain has an incredible ability to rewire itself,” Aazhang added in the release. “If we can harness that through technology, we can open new doors for treating not just dementia but also traumatic brain injury, stroke, Parkinson’s disease and more.”

The project represents Rice’s broader commitment to brain health research and its support for the Dementia Prevention Research Institute of Texas (DPRIT), which passed voter approval last week. The university also recently launched its Rice Brain Institute.

As part of the project, Houston Methodist will provide access to clinicians and patients for early trials, which include studies on patients who have suffered traumatic brain injury and stroke.

“We have entered an era in neuroscience that will result in transformational cures in diseases of the brain and spinal cord,” Britz said in the release. “DPRIT could make Texas the hub of these discoveries.”
From advanced computation to robots, Rice University, the University of Houston, and Houston Methodist are all working on using technology for medical innovation. Graphic via Getty Images

Houston researchers tap into tech to provide new brain-related health care solutions

research roundup

Research, perhaps now more than ever, is crucial to expanding and growing innovation in Houston — and it's happening across the city right under our noses.

In InnovationMap's latest roundup of research news, three Houston institutions are working on brain-related health care solutions thanks to technologies.

University of Houston research team focused on brain injury treatment through computation

Badri Roysam and his team at the University of Houston are working with the National Institute of Health to develop tools to treat concussions and brain injuries. Photo via uh.edu

A University of Houston researcher is tapping into technology to better treat brain injuries and conditions that scientists have not yet figured out treatment for. Badri Roysam, the current chair of electrical and computer engineering at UH and a Hugh Roy and Lillie Cranz Cullen University Professor, and his team have created a new computational image analysis methods based on deep neural networks.

"We are interested in mapping and profiling unhealthy and drug-treated brain tissue in unprecedented detail to reveal multiple biological processes at once - in context," Roysam says in a UH press release about his latest paper published in Nature Communications. "This requires the ability to record high-resolution images of brain tissue covering a comprehensive panel of molecular biomarkers, over a large spatial extent, e.g., whole-brain slices, and automated ability to generate quantitative readouts of biomarker expression for all cells."

Roysam's system, which was developed at the the National Institute of Neurological Disorders and Stroke, analyzes the images on UH's supercomputer automatically and can reveal multiple processes at once – the brain injury, effects of the drug being tested and the potential side effects of the drug, per the release.

"Compared to existing screening techniques, using iterative immunostaining and computational analysis, our methods are more flexible, scalable and efficient, enabling multiplex imaging and computational analysis of up to 10 – 100 different biomarkers of interest at the same time using direct or indirect IHC immunostaining protocols," says Roysam in the release.

The open-source toolkit, which was developed thanks to a $3.19 million grant from the National Institute of Health, is also adaptable to other tissues.

"We are efficiently overcoming the fluorescence signal limitations and achieving highly enriched and high-quality source imagery for reliable automated scoring at scale," says Roysam. "Our goal is to accelerate system-level studies of normal and pathological brains, and pre-clinical drug studies by enabling targeted and off-target drug effects to be profiled simultaneously, in context, at the cellular scale."

Houston Methodist and Rice University launch new collaboration to use robotics for clinical solutions

Rice University's Behnaam Aazhang and Marcia O'Malley are two of the people at the helm of the new center along with Houston Methodist's Dr. Gavin Britz. Photos via Rice.edu

Rice University and Houston Methodist have teamed up to create a new partnership and to launch the Center for Translational Neural Prosthetics and Interfaces in order to bring together scientists, clinicians, engineers, and surgeons to solve clinical problems with neurorobotics.

"This will be an accelerator for discovery," says the new center's co-director, Dr. Gavin Britz, chair of the Houston Methodist Department of Neurosurgery, in a news release. "This center will be a human laboratory where all of us — neurosurgeons, neuroengineers, neurobiologists — can work together to solve biomedical problems in the brain and spinal cord. And it's a collaboration that can finally offer some hope and options for the millions of people worldwide who suffer from brain diseases and injuries."

The center will have representatives from both Rice and Houston Methodist and also plans to hire three additional engineers who will have joint appointments at Houston Methodist and Rice.

"The Rice Neuroengineering Initiative was formed with this type of partnership in mind," says center co-director Behnaam Aazhang, Rice's J.S. Abercrombie Professor of Electrical and Computer Engineering, who also directs the neuroengineering initiative. "Several core members, myself included, have existing collaborations with our colleagues at Houston Methodist in the area of neural prosthetics. The creation of the Center for Translational Neural Prosthetics and Interfaces is an exciting development toward achieving our common goals."

The team will have a presence on the Rice campus with 25,000 square feet of space in the Rice Neuroengineering Initiative laboratories and experimental spaces in the university's BioScience Research Collaborative. The space at Houston Methodist is still being developed.

"This partnership is a perfect blend of talent," says Rice's Marcia O'Malley, a core member of both the new center and university initiative. "We will be able to design studies to test the efficacy of inventions and therapies and rely on patients and volunteers who want to help us test our ideas. The possibilities are limitless."

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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.”