Rice and MD Anderson scientists are researching new methods for treating brain cancer by overcoming the blood-brain barrier. Photo via Getty Images.

Rice University chemist Han Xiao, who also serves as director of the university’s Synthesis X Center, and cancer biologist Dihua Yu of The University of Texas MD Anderson Cancer Center have received a three-year, $1.5 million grant from the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation.

The funding will allow them to continue their research on treating brain metastasis by overcoming the blood-brain barrier, or the BBB, according to a news release.

Brain metastasis is the leading form of brain cancer, with survival rates below 20 percent within a year of diagnosis, according to the National Library of Medicine. It commonly originates from breast, lung and melanoma cancers.

The BBB typically acts as a protective barrier for the brain. However, it prevents most drugs from being able to directly reach the brain. According to Rice, only 2 percent of FDA-approved small molecule drugs can penetrate the BBB, limiting treatment options.

Xiao and Yu’s approach to dealing with the BBB includes a light-induced brain delivery (LIBD) platform. The advanced system employs nanoparticles that are embedded with a near-infrared dye for the transport of therapeutic agents across the BBB. The research will evaluate the LIBD’s ability to improve the delivery of small-molecule drugs and biological therapies. Some therapies have shown potential for reducing cancer growth in laboratory studies, but they have struggled due to limited BBB penetration in animal models.

“Our LIBD platform represents a novel strategy for delivering drugs to the brain with precision and efficiency,” Xiao said in a news release. “This technology could not only improve outcomes for brain metastasis patients but also pave the way for treating other neurological diseases.”

The Kleberg Foundation looks for groundbreaking medical research proposals from leading institutions that focus on “innovative basic and applied biological research that advances scientific knowledge and human health” according to the foundation.

“This research is a testament to the power of collaboration and innovation,” Xiao said in a news release. “Together, we’re pushing the boundaries of what’s possible in treating brain metastasis and beyond.”

Rice launched the Synthesis X Center, or Synth X, last spring. It was born out of what started about eight years ago as informal meetings between Xiao's research group and others from the Baylor College of Medicine’s Dan L Duncan Comprehensive Cancer Center. It aims to turn fundamental research into clinical applications through collaboration.

“This collaboration builds on the strengths of both research teams,” Xiao said in the release. “By combining SynthX Center's expertise in chemistry with Dr. Yu's expertise in cancer biology and brain metastases, we aim to create a transformative solution.”

Breakthrough research on metastatic breast cancer, a new way to turn toxic pollutants into valuable chemicals, and an evolved brain tumor chip are three cancer-fighting treatments coming out of Houston. Getty Inages

These 3 Houston research projects are aiming to fight or prevent cancer

Research roundup

Cancer remains to be one of the medical research community's huge focuses and challenges, and scientists in Houston are continuing to innovate new treatments and technologies to make an impact on cancer and its ripple effect.

Three research projects coming out of Houston institutions are providing solutions in the fight against cancer — from ways to monitor treatment to eliminating cancer-causing chemicals in the first place.

Baylor College of Medicine's breakthrough in breast cancer

Photo via bcm.edu

Researchers at Baylor College of Medicine and Harvard Medical School have unveiled a mechanism explains how "endocrine-resistant breast cancer acquires metastatic behavior," according to a news release from BCM. This research can be game changing for introducing new therapeutic strategies.

The study was published in the Proceedings of the National Academy of Sciences and shows that hyperactive FOXA1 signaling — previously reported in endocrine-resistant metastatic breast cancer — can trigger genome-wide reprogramming that enhances resistance to treatment.

"Working with breast cancer cell lines in the laboratory, we discovered that FOXA1 reprograms endocrine therapy-resistant breast cancer cells by turning on certain genes that were turned off before and turning off other genes," says Dr. Xiaoyong Fu, assistant professor of molecular and cellular biology and part of the Lester and Sue Smith Breast Center at Baylor, in the release.

"The new gene expression program mimics an early embryonic developmental program that endow cancer cells with new capabilities, such as being able to migrate to other tissues and invade them aggressively, hallmarks of metastatic behavior."

Patients whose cancer is considered metastatic — even ones that initially responded to treatment — tend to relapse and die due to the cancer's resistance to treatment. This research will allow for new conversations around therapeutic treatment that could work to eliminate metastatic cancer.

University of Houston's evolved brain cancer chip

Photo via uh.edu

A biomedical research team at the University of Houston has made improvements on its microfluidic brain cancer chip. The Akay Lab's new chip "allows multiple-simultaneous drug administration, and a massive parallel testing of drug response for patients with glioblastoma," according to a UH news release. GBM is the most common malignant brain tumor and makes up half of all cases. Patients with GBM have a five-year survival rate of only 5.6 percent.

"The new chip generates tumor spheroids, or clusters, and provides large-scale assessments on the response of these GBM tumor cells to various concentrations and combinations of drugs. This platform could optimize the use of rare tumor samples derived from GBM patients to provide valuable insight on the tumor growth and responses to drug therapies," says Metin Akay, John S. Dunn Endowed Chair Professor of Biomedical Engineering and department chair, in the release.

Akay's team published a paper in the inaugural issue of the IEEE Engineering in Medicine & Biology Society's Open Journal of Engineering in Medicine and Biology. The report explains how the technology is able to quickly assess how well a cancer drug is improving its patients' health.

"When we can tell the doctor that the patient needs a combination of drugs and the exact proportion of each, this is precision medicine," Akay explains in the release.

Rice University's pollution transformation technology

Photo via rice.edu

Rice University engineers have developed a way to get rid of cancer-causing pollutants in water and transform them into valuable chemicals. A team lead by Michael Wong and Thomas Senftle has created this new catalyst that turns nitrate into ammonia. The study was published in the journal ACS Catalysis.

"Agricultural fertilizer runoff is contaminating ground and surface water, which causes ecological effects such as algae blooms as well as significant adverse effects for humans, including cancer, hypertension and developmental issues in babies," says Wong, professor and chair of the Department of Chemical and Biomolecular Engineering in Rice's Brown School of Engineering, in a news release. "I've been very curious about nitrogen chemistry, especially if I can design materials that clean water of nitrogen compounds like nitrites and nitrates."

The ability to transform these chemicals into ammonia is crucial because ammonia-based fertilizers are used for global food supplies and the traditional method of creating ammonia is energy intensive. Not only does this process eliminate that energy usage, but it's ridding the contaminated water of toxic chemicals.

"I'm excited about removing nitrite, forming ammonia and hydrazine, as well as the chemistry that we figured out about how all this happens," Wong says in the release. "The most important takeaway is that we learned how to clean water in a simpler way and created chemicals that are more valuable than the waste stream."

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Houston researchers develop material to boost AI speed and cut energy use

ai research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

jobs report

For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”