Rice University lands $18M to revolutionize lymphatic disease detection

fresh funding

Rice University scientists are pioneering two technologies to better diagnose and treat complex lymphatic anomalies. Photo via Getty Images.

An arm of the U.S. Department of Health and Human Services has awarded $18 million to scientists at Rice University for research that has the potential to revolutionize how lymphatic diseases are detected and help increase survivability.

The lymphatic system is the network of vessels all over the body that help eliminate waste, absorb fat and maintain fluid balance. Diseases in this system are often difficult to detect early due to the small size of the vessels and the invasiveness of biopsy testing. Though survival rates of lymph disease have skyrocketed in the United States over the last five years, it still claims around 200,000 people in the country annually.

Early detection of complex lymphatic anomalies (CLAs) and lymphedema is essential in increasing successful treatment rates. That’s where Rice University’s SynthX Center, directed by Han Xiao and Lei Li, an assistant professor of electrical and computer engineering, comes in.

Aided by researchers from Texas Children’s Hospital, Baylor College of Medicine, the University of Texas at Dallas and the University of Texas Southwestern Medical Center, the center is pioneering two technologies: the Visual Imaging System for Tracing and Analyzing Lymphatics with Photoacoustics (VISTA-LYMPH) and Digital Plasmonic Nanobubble Detection for Protein (DIAMOND-P).

Simply put, VISTA-LYMPH uses photoacoustic tomography (PAT), a combination of light and sound, to more accurately map the tiny vessels of the lymphatic system. The process is more effective than diagnostic tools that use only light or sound, independent of one another. The research award is through the Advanced Research Projects Agency for Health (ARPA-H) Lymphatic Imaging, Genomics and pHenotyping Technologies (LIGHT) program, part of the U.S. HHS, which saw the potential of VISTA-LYMPH in animal tests that produced finely detailed diagnostic maps.

“Thanks to ARPA-H’s award, we will build the most advanced PAT system to image the body’s lymphatic network with unprecedented resolution and speed, enabling earlier and more accurate diagnosis,” Li said in a news release.

Meanwhile, DIAMOND-P could replace the older, less exact immunoassay. It uses laser-heated vapors of plasmonic nanoparticles to detect viruses without having to separate or amplify, and at room temperature, greatly simplifying the process. This is an important part of greater diagnosis because even with VISTA-LYMPH’s greater imaging accuracy, many lymphatic diseases still do not appear. Detecting biological markers is still necessary.

According to Rice, the efforts will help address lymphatic disorders, including Gorham-Stout disease, kaposiform lymphangiomatosis and generalized lymphatic anomaly. They also could help manage conditions associated with lymphatic dysfunction, including cancer metastasis, cardiovascular disease and neurodegeneration.

“By validating VISTA-LYMPH and DIAMOND-P in both preclinical and clinical settings, the team aims to establish a comprehensive diagnostic pipeline for lymphatic diseases and potentially beyond,” Xiao added in the release.

The ARPA-H award funds the project for up to five years.

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Rice University scientists Kshitij Rai, Caleb Bashor and Ronan O’Connell have developed CLASSIC, a new AI-driven process that can generate and test millions of DNA designs at the same. Photo by Jeff Fitlow. Courtesy Rice University.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”

Xiaoyu Yang, a graduate student at Rice, is the lead author on a study published in the journal Science on smart cell design. Photo by Jeff Fitlow/ Courtesy Rice University

Rice research breakthrough paves the way for advanced disease therapies

study up

Bioengineers at Rice University have developed a “new construction kit” for building custom sense-and-respond circuits in human cells, representing a major breakthrough in the field of synthetic biology, which could "revolutionize" autoimmune disease and cancer therapeutics.

In a study published in the journal Science, the team focused on phosphorylation, a cellular process in the body in which a phosphate group is added to a protein, signaling a response. In multicellular organisms, phosphorylation-based signaling can involve a multistage, or a cascading-like effect. Rice’s team set out to show that each cycle in a cascade can be treated as an elementary unit, meaning that they can be reassembled in new configurations to form entirely novel pathways linking cellular inputs and outputs.

Previous research on using phosphorylation-based signaling for therapeutic purposes has focused on re-engineering pathways.

“This opens up the signaling circuit design space dramatically,” Caleb Bashor, assistant professor of bioengineering and biosciences and corresponding author on the study, said in a news release. “It turns out, phosphorylation cycles are not just interconnected but interconnectable … Our design strategy enabled us to engineer synthetic phosphorylation circuits that are not only highly tunable but that can also function in parallel with cells’ own processes without impacting their viability or growth rate.”

Bashor is the deputy director for the Rice Synthetic Biology Institute, which launched last year.

The Rice lab's sense-and-respond cellular circuit design is also innovative because phosphorylation occurs rapidly. Thus, the new circuits could potentially be programmed to respond to physiological events in minutes, compared to other methods, which take hours to activate.

Rice’s team successfully tested the circuits for sensitivity and their ability to respond to external signals, such as inflammatory issues. The researchers then used the framework to engineer a cellular circuit that can detect certain factors, control autoimmune flare-ups and reduce immunotherapy-associated toxicity.

“This work brings us a whole lot closer to being able to build ‘smart cells’ that can detect signs of disease and immediately release customizable treatments in response,” Xiaoyu Yang, a graduate student in the Systems, Synthetic and Physical Biology Ph.D. program at Rice who is the lead author on the study, said in a news release.

Ajo-Franklin, a professor of biosciences, bioengineering, chemical and biomolecular engineering and a Cancer Prevention and Research Institute of Texas Scholar, added “the Bashor lab’s work vaults us forward to a new frontier — controlling mammalian cells’ immediate response to change.”

For the eighteenth year in a row, the annual Pumps & Pipes event will showcase and explore convergence innovation and common technology themes across Houston’s three major industries. Image courtesy of Pumps & Pipes

Uniquely Houston event to convene innovation experts across aerospace, energy, and medicine

guest column

Every year, Houston's legacy industries — energy, medicine, and aerospace — come together to share innovative ideas and collaborate on future opportunities.

For the eighteenth year in a row, the annual Pumps & Pipes event will showcase and explore convergence innovation and common technology themes across Houston’s three major industries. The hosting organization, also called Pumps & Pipes, was established in 2007 in Houston and is dedicated to fostering collaboration amongst the city's three major industries.

With NASA in its backyard, the world’s largest medical center, and a reputation as the “Energy Capital of the World,” Houston is uniquely positioned to lead in cross-industry convergence innovation and is reflected in the theme of this year’s event – Blueprint Houston: Converge and Innovate.

Here's what you can expect to explore at the event, which will take place this year on December 9 at TMC Helix Park. Tickets are available online.

The state of Texas’ aerospace investments

How are the recent strategic investments in aerospace by the State of Texas transforming the space economy and driving growth in adjacent industries? What is the case for cultivating a more dynamic and vibrant aerospace R&D environment?

These are the key questions explored in the opening session of Pumps & Pipes, moderated by David Alexander (Director, Rice Space Institute). Joining the discussion are distinguished leaders Norman Garza, Jr., Executive Director of the Texas Space Commission (TSC); as well as two members of the TSC board of directors: Sarah “Sassie” Duggelby, CEO/Co-Founder of Venus Aerospace; and Kathryn Lueders, GM at Starbase, SpaceX.

This panel will spotlight Texas’ critical role in shaping the future of aerospace, with a focus on its cross-sector impact, from space exploration to innovation in energy and health care. We’ll explore how the state’s investments are fueling research and development, creating economic opportunities, and fostering a more interconnected, high-tech ecosystem for the future.

Real-world applications of robotics and synthetic biology

Explore the groundbreaking intersection of synthetic biology and robotics as they reshape industries from aerospace to energy to health care. Experts from academia and industry — Rob Ambrose of Texas A&M University, Shankar Nadarajah of ExxonMobil, Shalini Yadav of the Rice Synthetic Biology Institute, and Moji Karimi of Cemvita — will discuss the real-world applications and future possibilities of these two fields, including innovative uses of robotics and drones to monitor emissions from deep-sea oil rigs, and synthetic microbes that convert carbon dioxide into valuable chemical products.

Discover how synthetic biology and robotics are paving the way for a more sustainable, autonomous, efficient, and interconnected future.

The total artificial heart – a uniquely Houston story

Heart failure affects millions globally, yet only a small fraction of patients receive life-saving heart transplants. The Total Artificial Heart (TAH), developed by BiVACOR, offers a revolutionary solution for patients with severe heart failure who are ineligible for a transplant.

Luminary leader, Dr. Billy Cohn, will discuss the groundbreaking BiVACOR TAH, a device that fully replaces the function of the heart using a magnetically levitated rotary pump. This innovative approach is part of an FDA-approved first-in-human study, aiming to evaluate its use as a bridge-to-transplant for patients awaiting heart transplants.

Moderated by Dr. Alan Lumsden (Chair Dept. of CV Surgery at Houston Methodist Hospital), join Dr. Cohn as he shares insights, and the story-behind, this pioneering technology and its potential to reshape the future of heart failure treatment, offering new hope to thousands of patients in need.

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Stuart Corr is the director of innovation engineering at The Bookout Center at Houston Methodist and executive director of Pumps & Pipes.

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

Houston research team invents cost-saving innovation for automated drug dosing

groundbreaking tech

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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Rice student startup lands $1.85M to launch medical drone network

critical cargo

Students at Rice University have developed a medical cargo drone transport system to help deliver sensitive medical supplies and improve mobile healthcare efforts.

Haast Autonomous is the brainchild of graduating seniors Ege Halac, Jason Chen and Santiago Brent, who got their venture idea off the ground with help from the Liu Idea Lab for Innovation and Entrepreneurship (Lilie) Summer Venture Studio. The founders have developed the prototype at Rice’s Oshman Engineering Design Kitchen (OEDK) with fellow Rice researchers Felix Hasson, Ethan Javedan, Kenna Sanders and Caden Schmidt.

The startup has raised $1.85 million in pre-seed funding, according to Rice. The founders plan to focus on Haast full-time following graduation. They said they aim to launch pilot trials in 2027 and head to market later that year.

“We need better alternatives for a fast, safe and on-demand system of transport for life-critical cargo,” Halac said in a news release from Rice.

The Haast team has developed a custom aircraft with software that manages dispatch, routes, and chain of custody to assist in how materials move between sites in centralized medical systems. Generally, the transportation of medical supplies and materials between facilities and points of care relies on ground shipping or expensive air transport.

Haast Autonomous’ aircraft can take off and land vertically, and is designed around a mission profile of 50 to 62 miles. It can carry a payload of at least 5 pounds, with future versions intended to scale up in size. It also includes a built-in payload bay that regulates temperature, pressure, vibration and tilt to protect sensitive contents such as patient samples, antivenom or poisoning kits and radioligands or other therapies, according to Rice.

At first, the company envisioned the mission to be centered around transplants, but saw the product being best suited for a variety of operations.

“What we realized is that the platform we are building is suited for medicine, but it really underlies a much larger problem of mission-critical transport across industries,” Brent added in the news release. “We are building the fastest, most secure logistics chain for the world’s most sensitive cargo.”

Haast Autonomous was recognized at the 2026 Oshman Engineering Design Showcase and Competition, where it won Best Aerospace or Transportation Technology. It also performed well in the 2026 Napier Rice Launch Challenge.

In the future, Haast Autonomous plans to deploy a fleet of aircraft. The software will be designed to assist hospitals in requesting flights and tracking deliveries in real time.

“The drone is only part of the solution,” Chen also added in the release. “What matters is moving something from point A to point B in a way that fits into how hospitals already operate.”

Houston scientist wins prestigious Pew Scholar award for brain cancer research

standout scholar

Christina Tringides, an assistant professor of materials science and nanoengineering at Rice University, is one of 21 scientists to win a prestigious Pew Biomedical Scholar award.

She is the first faculty member from Rice to win the distinction, which provides $300,000 over four years for advances in biomedicine, according to the university. The awards are granted to researchers who are in the first few years at the assistant professor level.

In Tringides’ case, the funding will support her innovative new method of modeling glioblastoma, a common and extremely aggressive form of brain cancer. Thanks to producing its own blood supply, glioblastoma spreads quickly, weaving tendrils of blighted tissue throughout the brain. Because of this, surgery is difficult and conventional therapies ineffective.

Understanding the way glioblastoma spreads is crucial to the search for a cure. Tringides is using hydrogels that mimic the brain’s extracellular matrix. Using cultures and a microscopic labyrinth, her team can see how the cancer spreads, bonds with neurons and changes cell wall activity. Essentially, Tringides has devised an intelligence test for tumors in hopes of learning how to outsmart them.

“As cancer crawls through the maze, we can look at how it is interacting with the neurons more and more, and measure how electrical activity is changing as a result,” she said in a news release from Rice.

Examining how cancer cells grow can reveal which conditional changes slow them down. Finding ways to alter the structure of brain matter in a way that makes it inhospitable to the cancer could lead to therapies that would impede growth or even reverse it. Using her custom-made ersatz brain maze makes it easier to observe changes than it would be in a patient’s brain.

“Imaging synapses is time-intensive ⎯ it can involve large data files that are hard to visualize, but if we know that the only place where we might have a synapse is this tiny 1-by-4-by-10 micron channel, it makes it much faster and reliable to image them,” Tringides said.

Born in Ames, Iowa, Tringides received her doctorate in biophysics from Harvard before joining Rice in 2024 through a Cancer Prevention and Research Institute of Texas (CPRIT) recruitment award.

Her research was also one of the first four projects to receive research awards through the Rice Brain Institute and TMC Neuro Collaboration Seed Grant Program.

Texas residents earn 11th highest income in U.S., says 2026 study

Money Matters

A new WalletHub study comparing income disparities across America has ranked Texas residents No. 11 on the list of states with the highest earning residents in the nation.

The report, "States Where People Have the Highest Income (2026)," analyzed U.S. Census Bureau income data in all 50 states and the District of Columbia. The report evaluated the average annual income of the top five percent, the median annual household income, and the average annual income of the bottom 20 percent of residents in every state, all adjusted for the cost of living.

The report's data revealed the top five percent of Texans, the highest earners, make $520,378 on average yearly after adjusting for the cost of living. That's the seventh-highest income among the top five percent of earners nationwide.

Meanwhile, the median annual income of a Texas household is just under $76,000. The bottom 20 percent of Texas residents make $17,651 a year, the report found.

For additional context, the latest data from the Federal Reserve shows an American household's median yearly income is about $83,700. WalletHub analyst Chip Lupo also found that the highest earning 10 percent of individuals in the U.S. earn over 12 times more than those in the lowest-earning 10 percent, based on the latest Census data.

"By measuring the income of various percentiles against a state's median income, we can better identify where income disparities are more prevalent, which could help us better understand why residents of certain states struggle more to make ends meet," said Lupo.

Virginia is the state where residents earn the highest income in the U.S., WalletHub said. Based on the report's findings, the top five percent of Virginians make $545,097 on average per year after adjusting for the cost of living. The median annual income of a Virginia household comes out to $95,339, and the bottom 20 percent of residents make $19,671 annually on average.

Conversely, West Virginia is the state where people have the lowest income in the U.S. A West Virginia household makes a median annual income of $56,610, the third-lowest nationally, and the bottom 20 percent of residents make $13,260 on average per year, which is the fifth-lowest in the nation. The top five percent of West Virginians make $372,218 on average per year.

The top 10 states where residents have the highest income are:

  • No. 1 – Virginia
  • No. 2 – New York
  • No. 3 – New Jersey
  • No. 4 – Washington
  • No. 5 – Connecticut
  • No. 6 – Utah
  • No. 7 – Colorado
  • No. 8 – Minnesota
  • No. 9 – Illinois
  • No. 10 – Massachusetts

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This article originally appeared on CultureMap.com.

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