Houston chemist lands $2M NIH grant for cancer treatment research

future of cellular health

The funds were awarded to Han Xiao, a scientist at Rice University.

A Rice University chemist has landed a $2 million grant from the National Institute of Health for his work that aims to reprogram the genetic code and explore the role certain cells play in causing diseases like cancer and neurological disorders.

The funds were awarded to Han Xiao, the Norman Hackerman-Welch Young Investigator, associate professor of chemistry, from the NIH's Maximizing Investigators’ Research Award (MIRA) program, which supports medically focused laboratories.

Xiao will use the five-year grant to develop noncanonical amino acids (ncAAs) with diverse properties to help build proteins, according to a statement from Rice. He and his team will then use the ncAAs to explore the vivo sensors for enzymes involved in posttranslational modifications (PTMs), which play a role in the development of cancers and neurological disorders. Additionally, the team will look to develop a way to detect these enzymes in living organisms in real-time rather than in a lab.

“This innovative approach could revolutionize how we understand and control cellular functions,” Xiao said in the statement.

According to Rice, these developments could have major implications for the way diseases are treated, specifically for epigenetic inhibitors that are used to treat cancer.

Xiao helped lead the charge to launch Rice's new Synthesis X Center this spring. The center, which was born out of informal meetings between Xio's lab and others from the Baylor College of Medicine’s Dan L Duncan Comprehensive Cancer Center at the Baylor College of Medicine, aims to improve cancer outcomes by turning fundamental research into clinical applications.

They will build upon annual retreats, in which investigators can share unpublished findings, and also plan to host a national conference, the first slated for this fall titled "Synthetic Innovations Towards a Cure for Cancer.”

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Rice University's SynthX Center, a collaborative lab focused on cancer treatments, named its inaugural seed grant recipients. Photo via Getty Images

3 Houston cancer-focused research projects receive seed grants from new innovative initiative

funding the future

Three groundbreaking projects have just received seed grants from a new Houston-based source.

This spring, Rice University launched its Synthesis X Center with the goal of fostering the growth of cancer technologies and medications. Now, the SynthX, as it is known, and Baylor College of Medicine’s Dan L Duncan Comprehensive Cancer Center have announced joint awards of grants to promising teams, all of which have principals at either Rice or Baylor.

The teams include:

  • A project from Drs. Pabel Miah of Baylor and Lei Li of Rice that involves the development and optimization of high-resolution imaging technology that’s intended for use in removing breast cancer from patients. The researchers combine ultrasound with photoacoustic technology to produce real-time imaging that allows surgeons to spot hard-to-locate tumors. This could reduce or eliminate tumor localization procedures which are invasive and costly.
  • A leukemia treatment profiting from molecular jackhammers, a type of molecule invented in the Rice University lab of Dr. James Tour. He’s joined in the project by Drs. Xin Li and Yongcheng Song, both of Baylor. Molecular jackhammers vibrate more than a trillion times per second when activated by a specific light frequency. Doing this can kill nearby cancer cells. The new treatment is intended to disrupt the activity of a transcription protein called ENL that helps fuel the growth of leukemia cells in several acute forms of the disease.
  • A project that could discover how to inspire cancer cells to kill themselves, using a cancer-associated enzyme called lysine demethylase 4A. Baylor’s Dr. Ruhee Dere and Rice’s Dr. Anna Karin-Gustavsson are studying the KDM4A with the process of apoptosis, or programmed cell death, in mind for the aberrant cells.

The seed grants are managed by Rice’s office for Educational and Research Initiatives for Collaborative Health (ENRICH). Each of the three grants is intended to last two years and includes funds of up to $80,000.

The goal is to allow research teams to collect preliminary data that can be used to apply for more substantial grants from bodies like the Cancer Prevention and Research Institute of Texas (CPRIT) or the National Institute of Health (NIH).

Three quarters of the funds will be provided in the first year. Teams that produce grant submissions with multiple principal investigators in that first year will be eligible to collect the additional quarter.

CellChorus created a visualization AI program that helps scientists to better understand the functioning of cells, including their activation, killing and movement. Photo via Getty Images

Houston health tech startup scores $2.5M SBIR grant to advance unique cell therapy AI technology

fresh funding

A Houston biotech company just announced a new award of $2.5 million.

CellChorus, a spinoff of the Single Cell Lab at the University of Houston, announced the fresh funding, which comes from an SBIR (Small Business Innovation Research) grant from the National Institute of Health (NIH) through its National Center for Advancing Translational Sciences (NCATS).

CellChorus is the business behind a technology called TIMING, which stands for Time-lapse Imaging Microscopy In Nanowell Grids. It’s a visualization AI program that helps scientists to better understand the functioning of cells, including their activation, killing and movement. This more in-depth knowledge of immune cells could be instrumental in developing novel therapies in countless disorders, including cancers and infectious diseases.

“While many cell therapies have been approved and are in development, the industry needs an integrated analytical platform that provides a matrix of functional readouts, including cell phenotype and metabolism on the same cells over time,” Rebecca Berdeaux, vice president of science at CellChorus, says in a press release. “We are grateful to NCATS for its support of the development of application-specific kits that apply dynamic, functional single-cell analysis of immune cell phenotype and function. The product we will develop will increase the impact of these therapies to improve the lives of patients.”

A two-year, $2.1 million Phase II grant will begin after the company achieves predetermined milestones under a $350,000 Phase I grant that is currently taking place. As Berdeaux explained, the funds will be used to develop TIMING kits which will manufacture analytics that provide end-users with rapid, specific and predictive results to accelerate translational research and the development and manufacture of more effective cell therapies.

TIMING is more than a great idea whose time has yet to come. It has already been proven in great depth. In fact, last June, CellChorus CEO Daniel Meyer told InnovationMap that he was initially attracted to the technology because it was “very well validated.” At the time, CellChorus had just announced a $2.3 million SBIR Fast-Track grant from the National Institute of General Medical Sciences. The company also went on to win an award in the Life Science category of the 2023 Houston Innovation Awards.

That confirmation of success comes from more than 200 peer-reviewed papers that describe myriad cell types and types of therapy, all of which used data from TIMING assays. TIMING data has benefited industry leaders in everything from research and clinical development to manufacturing. With the new grant, TIMING will become more widely available to scientists making important discoveries relating to the inner workings of the cells that drive our immunity.

The NIH grant goes toward TransplantAI's work developing more precise models for heart and lung transplantation. Photo via Getty Images

Houston health tech company scores $2.2M grant to use AI to make organ transplants smarter, more successful

future of medicine

The National Institute of Health has bestowed a Houston medtech company with a $2.2 million Fast-Track to Phase 2 award. InformAI will use the money for the product development and commercialization of its AI-enabled organ transplant informatics platform.

Last year, InformAI CEO Jim Havelka told InnovationMap, “A lot of organs are harvested and discarded.”

TransplantAI solves that problem, as well as organ scarcity and inefficiency in allocation of the precious resource.

How does it work? Machine learning and deep learning from a million donor transplants informs the AI, which determines who is the best recipient for each available organ using more than 500 clinical parameters. Organ transplant centers and organ procurement organizations (OPOs) will be able to use the product to make a decision on how to allocate each organ in real time. Ultimately, the tool will service 250 transplant centers and 56 OPOs around the United States.

The NIH grant goes toward developing more precise models for heart and lung transplantation (kidney and liver algorithms are further along in development thanks to a previous award from the National Science Foundation), as well as Phase 2 efforts to fully commercialize TransplantAI.

"There is an urgent need for improved and integrated predictive clinical insights in solid organ transplantation, such as for real-time assessment of waitlist mortality and the likelihood of successful post-transplantation outcomes," according to the grant’s lead clinical investigator, Abbas Rana, associate professor of surgery at Baylor College of Medicine.

“This information is essential for healthcare teams and patients to make informed decisions, particularly in complex cases where expanded criteria allocation decisions are being considered," Rana continues. "Currently, the separation of donor and recipient data into different systems requires clinical teams to conduct manual, parallel reviews for pairing assessments. Our team, along with those at other leading transplant centers nationwide, receives hundreds of organ-recipient match offers weekly.”

Organ transplantation is moving into the future, and Transplant AI is at the forefront.

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

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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.”

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