Rice University's Lei Li has been awarded a $550,000 NSF CAREER Award to develop wearable, hospital-grade medical imaging technology. Photo by Jeff Fitlow/ Courtesy Rice University

Another Houston scientist has won one of the highly competitive National Science Foundation (NSF) CAREER Awards.

Lei Li, an assistant professor of electrical and computer engineering at Rice University, has received a $550,000, five-year grant to develop wearable, hospital-grade medical imaging technology capable of visualizing deep tissue function in real-time, according to the NSF. The CAREER grants are given to "early career faculty members who demonstrate the potential to serve as academic models and leaders in research and education."

“This is about giving people access to powerful diagnostic tools that were once confined to hospitals,” Li said in a news release from Rice. “If we can make imaging affordable, wearable and continuous, we can catch disease earlier and treat it more effectively.”

Li’s research focuses on photoacoustic imaging, which merges light and sound to produce high-resolution images of structures deep inside the body. It relies on pulses of laser light that are absorbed by tissue, leading to a rapid temperature rise. During this process, the heat causes the tissue to expand by a fraction, generating ultrasound waves that travel back to the surface and are detected and converted into an image. The process is known to yield more detailed images without dyes or contrast agents used in some traditional ultrasounds.

However, current photoacoustic systems tend to use a variety of sensors, making them bulky, expensive and impractical. Li and his team are taking a different approach.

Instead of using hundreds of separate sensors, Li and his researchers are developing a method that allows a single sensor to capture the same information via a specially designed encoder. The encoder assigns a unique spatiotemporal signature to each incoming sound wave. A reconstruction algorithm then interprets and decodes the signals.

These advances have the potential to lower the size, cost and power consumption of imaging systems. The researchers believe the device could be used in telemedicine, remote diagnostics and real-time disease monitoring. Li’s lab will also collaborate with clinicians to explore how the miniaturized technology could help monitor cancer treatment and other conditions.

“Reducing the number of detection channels from hundreds to one could shrink these devices from bench-top systems into compact, energy-efficient wearables,” Li said in the release. “That opens the door to continuous health monitoring in daily life—not just in hospitals.”

Amanda Marciel, the William Marsh Rice Trustee Chair of chemical and biomolecular engineering and an assistant professor at Rice, received an NSF CAREER Award last year. Read more here.

The device is lighter than a Band-Aid and could be used as robot skin to track movement and health conditions. Photo via uh.edu

University of Houston professors identify super thin wearable device

Data collecting skin

Imagine a wearable device so thin it's less noticeable and lighter than a Band-Aid but can track and record important health information. According to some University of Houston researchers, you might not need to imagine it at all.

A recent paper, which ran as the cover story in Science Advances, identified a wearable human-machine interface device that is so thin a wearer might not even notice it. Cunjiang Yu, a Bill D. Cook associate professor of Mechanical Engineering at the University of Houston, was the lead author for the paper.

"Everything is very thin, just a few microns thick," says Yu, who also is a principal investigator at the Texas Center for Superconductivity at UH, in a release. "You will not be able to feel it."

The device is reported in the paper to be made of a metal oxide semiconductor on a polymer base. It could be attached to a robotic hand or prosthetic, as well as other robotic devices, that can collect and report information to the wearer.

"What if when you shook hands with a robotic hand, it was able to instantly deduce physical condition?" Yu asks in the release.

The device could also be used to help make decisions in situations that are hazardous to humans, such as chemical spills.

Current devices on the market or being developed are much slower to respond and bulkier to wear, not to mention expensive to develop.

"We report an ultrathin, mechanically imperceptible, and stretchable (human-machine interface) HMI device, which is worn on human skin to capture multiple physical data and also on a robot to offer intelligent feedback, forming a closed-loop HMI," the researchers write in the paper. "The multifunctional soft stretchy HMI device is based on a one-step formed, sol-gel-on-polymer-processed indium zinc oxide semiconductor nanomembrane electronics."

The paper's co-authors, in addition to Yu, include first author Kyoseung Sim, Zhoulyu Rao, Faheem Ershad, Jianming Lei, Anish Thukral, and Jie Chen, who are all from UH; Zhanan Zou and Jianliang Xiao of the University of Colorado; and Qing-An Huang of Southeast University in Nanjing, China.


Soft Wearable Multifunctional Human-Machine Interfaces (HMIs)www.youtube.com

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TMC, Memorial Hermann launch partnership to spur new patient care technologies

medtech partnership

Texas Medical Center and Memorial Hermann Health System have launched a new collaboration for developing patient care technology.

Through the partnership, Memorial Hermann employees and physicians will now be able to participate in the TMC Center for Device Innovation (CDI), which will assist them in translating product innovation ideas into working prototypes. The first group of entrepreneurs will pitch their innovations in early 2026, according to a release from TMC.

“Memorial Hermann is excited to launch this new partnership with the TMC CDI,” Ini Ekiko Thomas, vice president of information technology at Memorial Hermann, said in the news release. “As we continue to grow (a) culture of innovation, we look forward to supporting our employees, affiliated physicians and providers in new ways.”

Mentors from Memorial Hermann, TMC Innovation and industry experts with specialties in medicine, regulatory strategy, reimbursement planning and investor readiness will assist with the program. The innovators will also gain access to support systems like product innovation and translation strategy, get dedicated engineering and machinist resources and personal workbench space at the CDI.

“The prototyping facilities and opportunities at TMC are world-class and globally recognized, attracting innovators from around the world to advance their technologies,” Tom Luby, chief innovation officer at TMC Innovation Factor, said in the release.

Memorial Hermann says the partnership will support its innovation hub’s “pilot and scale approach” and hopes that it will extend the hub’s impact in “supporting researchers, clinicians and staff in developing patentable, commercially viable products.”

“We are excited to expand our partnership with Memorial Hermann and open the doors of our Center for Device Innovation to their employees and physicians—already among the best in medical care,” Luby added in the release. “We look forward to seeing what they accomplish next, utilizing our labs and gaining insights from top leaders across our campus.”

Google to invest $40 billion in AI data centers in Texas

Google is investing a huge chunk of money in Texas: According to a release, the company will invest $40 billion on cloud and artificial intelligence (AI) infrastructure, with the development of new data centers in Armstrong and Haskell counties.

The company announced its intentions at a meeting on November 14 attended by federal, state, and local leaders including Gov. Greg Abbott who called it "a Texas-sized investment."

Google will open two new data center campuses in Haskell County and a data center campus in Armstrong County.

Additionally, the first building at the company’s Red Oak campus in Ellis County is now operational. Google is continuing to invest in its existing Midlothian campus and Dallas cloud region, which are part of the company’s global network of 42 cloud regions that deliver high-performance, low-latency services that businesses and organizations use to build and scale their own AI-powered solutions.

Energy demands

Google is committed to responsibly growing its infrastructure by bringing new energy resources onto the grid, paying for costs associated with its operations, and supporting community energy efficiency initiatives.

One of the new Haskell data centers will be co-located with — or built directly alongside — a new solar and battery energy storage plant, creating the first industrial park to be developed through Google’s partnership with Intersect and TPG Rise Climate announced last year.

Google has contracted to add more than 6,200 megawatts (MW) of net new energy generation and capacity to the Texas electricity grid through power purchase agreements (PPAs) with energy developers such as AES Corporation, Enel North America, Intersect, Clearway, ENGIE, SB Energy, Ørsted, and X-Elio.

Water demands

Google’s three new facilities in Armstrong and Haskell counties will use air-cooling technology, limiting water use to site operations like kitchens. The company is also contributing $2.6 million to help Texas Water Trade create and enhance up to 1,000 acres of wetlands along the Trinity-San Jacinto Estuary. Google is also sponsoring a regenerative agriculture program with Indigo Ag in the Dallas-Fort Worth area and an irrigation efficiency project with N-Drip in the Texas High Plains.

In addition to the data centers, Google is committing $7 million in grants to support AI-related initiatives in healthcare, energy, and education across the state. This includes helping CareMessage enhance rural healthcare access; enabling the University of Texas at Austin and Texas Tech University to address energy challenges that will arise with AI, and expanding AI training for Texas educators and students through support to Houston City College.

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This article originally appeared on CultureMap.com.

TMCi names 11 global startups to latest HealthTech Accelerator cohort

new class

Texas Medical Center Innovation has named 11 medtech startups from around the world to its latest HealthTech Accelerator cohort.

Members of the accelerator's 19th cohort will participate in the six-month program, which kicked off this month. They range from startups developing on-the-go pelvic floor monitoring to 3D-printed craniofacial and orthopedic implants. Each previously participated in TMCi's bootcamp before being selected to join the accelerator. Through the HealthTech Accelerator, founders will work closely with TMC specialists, researchers, top-tier hospital experts and seasoned advisors to help grow their companies and hone their clinical trials, intellectual property, fundraising and more.

“This cohort of startups is tackling some of today’s most pressing clinical challenges, from surgery and respiratory care to diagnostics and women’s health," Tom Luby, chief innovation officer at Texas Medical Center, said in a news release. "At TMC, we bring together the minds behind innovation—entrepreneurs, technology leaders, and strategic partners—to help emerging companies validate, scale, and deliver solutions that make a real difference for patients here and around the world. We look forward to seeing their progress and global impact through the HealthTech Accelerator and the support of our broader ecosystem.”

The 2025 HealthTech Accelerator cohort includes:

  • Houston-based Respiree, which has created an all-in-one cardiopulmonary platform with wearable sensors for respiratory monitoring that uses AI to track breathing patterns and detect early signs of distress
  • College Station-based SageSpectra, which designs an innovative patch system for real-time, remote monitoring of temperature and StO2 for assessing vascular occlusion, infection, and other surgical flap complications
  • Austin-based Dynamic Light, which has developed a non-invasive imaging technology that enables surgeons to visualize blood flow in real-time without the need for traditional dyes
  • Bangkok, Thailand-based OsseoLabs, which develops AI-assisted, 3D-printed patient-specific implants for craniofacial and orthopedic surgeries
  • Sydney, Australia-based Roam Technologies, which has developed a portable oxygen therapy system (JUNO) that provides real-time oxygen delivery optimization for patients with chronic conditions
  • OptiLung, which develops 3D-printed extracorporeal blood oxygenation devices designed to optimize blood flow and reduce complications
  • Bengaluru, India-based Dozee, which has created a smart remote patient monitor platform that uses under-the-mattress bed sensors to capture vital signs through continuous monitoring
  • Montclair, New Jersey-based Endomedix, which has developed a biosurgical fast-acting absorbable hemostat designed to eliminate the risk of paralysis and reoperation due to device swelling
  • Williston, Vermont-based Xander Medical, which has designed a biomechanical innovation that addresses the complications and cost burdens associated with the current methods of removing stripped and broken surgical screws
  • Salt Lake City, Utah-based Freyya, which has developed an on-the-go pelvic floor monitoring and feedback device for people with pelvic floor dysfunction
  • The Netherlands-based Scinvivo, which has developed optical imaging catheters for bladder cancer diagnostics