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They will build upon annual retreats, in which investigators can share unpublished findings, and also plan to host a national conference, the first slated for this fall titled "Synthetic Innovations Towards a Cure for Cancer.”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

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

New accelerator joins the Ion and more Houston innovation news to know

Trending News

Editor's note: The Houston innovation scene is buzzing with big news this month, from a new accelerator joining the fold at the Ion to pre-IPO funding and national expansion plans. Below are the five most-read InnovationMap stories from Feb. 1-15, 2026:

New accelerator for AI startups to launch at Houston's Ion this spring

The new AI Native Dual-Use Sports, Health & Wellness Accelerator is expected to launch in March. Photo courtesy of the Ion

The Collectiv Foundation and Rice University have established a sports, health and wellness startup accelerator at the Ion District’s Collectiv, a sports-focused venture capital platform. The AI Native Dual-Use Sports, Health & Wellness Accelerator is scheduled to formally launch in March. Continue reading.

10+ can't-miss Houston business and innovation events in February

From recurring monthly favorites to the return of annual celebrations and summits, here's what not to miss in February. Photo courtesy the Ion.

February may be a short month, but its event calendar isn’t. From recurring monthly favorites to the return of annual celebrations and summits, here are the Houston business and innovation events not to miss — and how to register. Continue reading.

Houston lab-test startup seeks $1M for nationwide expansion

Jim Gebhart, founder and CEO of TheLabCafe.com. Courtesy photo.

Health care industry veteran Jim Gebhart knew there had to be a better way for patients to access lab services, especially those with high health insurance deductibles or no insurance at all. Continue reading.

Houston wearable biosensing company closes $13M pre-IPO round

Wellysis is known for its continuous ECG/EKG monitor with AI reporting, known as the S-Patch. Photo via wellysis.com.

Wellysis, a Seoul, South Korea-headquartered wearable biosensing company with its U.S. subsidiary based in Houston, has closed a $13.5 million pre-IPO funding round and plans to expand its Texas operations. Continue reading. Continue reading.

Texas booms as No. 3 best state to start a business right now

Texas is rebounding in a report of the best states to start a business. Photo via Getty Images

High employment growth and advantageous entrepreneurship rates have led Texas into a triumphant No. 3 spot in WalletHub's ranking of "Best and Worst States to Start a Business" for 2026. Continue reading.

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.”

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