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They will build upon annual retreats, in which investigators can share unpublished findings, and also plan to host a national conference, the first slated for this fall titled "Synthetic Innovations Towards a Cure for Cancer.”

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Researchers at the new SynthX Center will aim to turn fundamental research into clinical applications and make precision adjustments to drug properties and molecules. Photo via Rice University

Houston organizations launch collaborative center to boost cancer outcomes

new to HOU

Rice University's new Synthesis X Center officially launched last month to bring together experts in cancer care and chemistry.

The center was born out of what started about seven years ago as informal meetings between Rice chemist Han Xiao's research group and others from the Baylor College of Medicine’s Dan L Duncan Comprehensive Cancer Center at the Baylor College of Medicine. The level of collaboration between the two teams has grown significantly over the years, and monthly meetings now draw about 100 participants from across disciplines, fields and Houston-based organizations, according to a statement from Rice.

Researchers at the new SynthX Center will aim to turn fundamental research into clinical applications and make precision adjustments to drug properties and molecules. It will focus on improving cancer outcomes by looking at an array of factors, including prevention and detection, immunotherapies, the use of artificial intelligence to speed drug discovery and development, and several other topics.

"At Rice, we are strong on the fundamental side of research in organic chemistry, chemical biology, bioengineering and nanomaterials,” Xiao says in the statement. “Starting at the laboratory bench, we can synthesize therapeutic molecules and proteins with atom-level precision, offering immense potential for real-world applications at the bedside ... But the clinicians and fundamental researchers don’t have a lot of time to talk and to exchange ideas, so SynthX wants to serve as the bridge and help make these connections.”

SynthX plans to issue its first merit-based seed grants to teams with representatives from Baylor and Rice this month.

With this recognition from Rice, the teams from Xiao's lab and the TMC will also be able to expand and formalize their programs. 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.”

“I am confident that the SynthX Center will be a great resource for both students and faculty who seek to translate discoveries from fundamental chemical research into medical applications that improve people’s lives,” Thomas Killian, dean of the Wiess School of Natural Sciences, says in the release.

Rice announced that it had invested in four other research centers along with SynthX last month. The other centers include the Center for Coastal Futures and Adaptive Resilience, the Center for Environmental Studies, the Center for Latin American and Latinx Studies and the Rice Center for Nanoscale Imaging Sciences.

Earlier this year, Rice also announced its first-ever recipients of its One Small Step Grant program, funded by its Office of Innovation. The program will provide funding to faculty working on "promising projects with commercial potential," according to the website.

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Houston college joins inaugural workforce accelerator supported by Google

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Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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