CellChorus has landed its latest SBIR award. Photo via Getty Images

Houston-based CellChorus and Stanford Medicine were recently awarded a Phase I Small Business Innovation Research grant for the company's AI platform to test how certain cancer patients will respond to therapies.

The funding comes from the National Cancer Institute of the National Institutes of Health. According to a filing, the grant totaled just under $400,000.

CellChorus, which spun out from the University of Houston’s Technology Bridge, has developed TIMING (Time-lapse Imaging Microscopy In Nanowell Grids), which analyzes the behavior of thousands of individual immune cells over time and can identify early indicators of treatment success or failure.

The company will work with Stanford's Dr. David Miklos and Dr. Saurabh Dahiya, who have built the Bone Marrow Transplantation and Cell Therapy Biobank. The biobank manages and stores biological samples from patients treated at their clinic and in clinical trials.

"Predicting which patients will achieve durable responses after CAR-T therapy remains one of the most important challenges in the field,” Miklos said in a news release. “We aim to uncover functional cellular signatures that can guide treatment decisions and improve patient outcomes.”

The project will specifically profile cells from patients with relapsed/refractory large B-cell lymphoma (r/rLBCL). According to CellChorus, only about half of r/rLBCL patients who receive CAR-T therapy "achieve a durable, long-term remission." Others do not respond to therapy or experience relapse.

“The sooner we know whether a cancer therapy is working, the better. To maximize patient benefit, we need technology that can provide a robust and early prediction of response to therapy. The technology needs to be scalable, cost-efficient, and capable of rapid turnaround times,” Rebecca Berdeaux, chief scientific officer of CellChorus, added in the release. “We are excited to work with Drs. David Miklos and Saurabh Dahiya and their colleagues on this very important project.”

CellChorus has previously received SBIR grants from federal agencies, including a $2.5 million award in 2024 from its National Center for Advancing Translational Sciences (NCATS) and a $2.3 million SBIR Fast-Track award from the National Institute of General Medical Sciences in 2023.

UTHealth Houston has secured millions in grant funding — plus has reached a new milestone for one of its projects. Photo via utsystem.edu

Houston health care leader secures funding, milestones for latest initiatives across cancer, stroke, and more

news roundup

UTHealth Houston is making waves in many disciplines right now. From cancer to Alzheimer’s disease to stroke, the institution is improving outcomes for patients in new ways. Last week, UTHealth announced three exciting updates to its roster of accomplishments.

On October 8, UTHealth announced that it had received a $4.8 million grant from the National Cancer Institute, aimed at helping cancer survivors to continue their healing and enhancing primary care capacity. It will be put into action by UTHealth researchers working with eight community health centers around Texas that treat un- and underinsured patients. The initiative is called Project CASCADE, which stands for Community and Academic Synergy for Cancer Survivorship Care Delivery Enhancement.

“Project CASCADE focuses on how primary healthcare teams provide whole-person and coordinated care to underserved patients who have a history of cancer,” says Bijal Balasubramanian, professor of epidemiology and the Rockwell Distinguished Chair in Society and Health at UTHealth Houston School of Public Health, a multiple principal investigator of the study. “Primary care is uniquely suited to deliver whole-person and coordinated care for cancer survivors because, at its core, it prioritizes, personalizes and integrates healthcare for all conditions, not just the cancer.”

She continued by adding that 70 percent of cancer survivors live with other chronic conditions. The study will help by taking a holistic approach, rather than relegating people’s care to many different teams. Project CASCADE is one of only four National Cancer Institute-funded U01 grants that have been awarded to applicants focused on primary care for cancer survivors.

“Community health centers are the primary-care homes for patients who are underinsured or uninsured. In collaboration with community health center clinics, this study will develop a model of cancer survivorship care that can be disseminated and scaled up to be used across other health systems in Texas,” Balasubramanian says.

The intervention will use a designated care coordinator champion to oversee every aspect of patients’ health journey. Project ECHO will provide a backbone for treatment. That’s a telementoring strategy that improves primary care clinicians’ knowledge about post-cancer care, recognition and management of the effects of cancer and its treatments, and communication between oncologists and the primary care team. Project CASCADE is also a partnership between The University of Texas System institutions, including UT Southwestern Medical Center and The University of Texas MD Anderson Cancer Center.

The previous week, UTHealth made history by performing the first infusion in Houston of a newly FDA-approved drug, Kisunla, for the treatment of early symptomatic Alzheimer’s disease. The lucky recipient was 79-year-old Terrie Frankel. Though Kisunla is not a cure for Alzheimer’s, it has been noted to slow progress when administered early in the disease’s encroachment.

“Mrs. Frankel is the ideal patient for this treatment,” her doctor, David Hunter says. “We want to see patients as soon as they, or their family, notice the slightest trace of forgetfulness. The earlier the patient is in their Alzheimer’s disease, the more they benefit from treatments like Kisunla.”

UTHealth was one of the sites in the trial that charted the fact that Kisunla reduced amyloid plaques on average by 84 percent at 10 months after infusion. Frankel will receive her infusions monthly for the next 18 months, and her doctors will keep tabs on her progress with PET scans and use MRIs to scan for possible side effects. Next year, researchers will begin recruiting participants over the age of 55 with a family history of dementia, but no memory loss themselves, for a new trial, one of several currently working against Alzheimer’s that are taking place at UTHealth.

Stroke is no less of a worry to many patients. Last week, UTHealth received another grant that will improve the odds for patients who have had a stroke with the successful re-opening of a blocked vessel through endovascular surgery. The $2.5 million grant from the National Institute of Neurological Disorders and Stroke, part of the National Institutes of Health, will fund a five-year study that will include the creation of a machine-learning program that will be able to predict which stroke patients with large blood vessel blockages will benefit most from endovascular therapy.

The investigators will form a database of imaging and outcomes of patients whose blockages were successfully opened, called reperfusion, from three U.S. hospitals. This will allow them to identify clinical and imaging-based predictors of damage in the brain after reperfusion. From there, the deep-learning model will help clinicians to know which patients might go against the tenet that the sooner you treat a patient, the better.

“This is shaking our core of deciding who we treat, and when, and how, but also, how we are evaluating them? Our current methods of determining benefit with imaging are not good enough,” says principal investigator and associate professor in the Department of Neurology at McGovern Medical School at UTHealth Houston, Sunil Sheth.

And this is just some of the groundbreaking work taking place at UTHealth each day.

A team of researchers out of the University of Houston has secured funding to continue research on aggressive stomach and esophageal cancers. Photo via Getty Images

UH team lands $4.7M grant for discovery linking origins of two aggressive cancers

funds granted

Frank McKeon, professor of biology and biochemistry and director of the Somatic Stem Cell Center at the University of Houston, will lead a new five-year $4.7 million grant from the National Cancer Institute to advance important findings about aggressive stomach and esophageal cancers.

McKeon and a team of researchers have already uncovered a surprising finding about two types of cancers: stomach and esophagus esophageal adenocarcinoma (EAC) and intestinal gastric cancer (iGC). According to their research, the two cancers have identical precursor stem cells or "cells of origin."

The cells are highly susceptible to mutations, which can cause them to develop into cancerous lesions.

Currently, patients who present these types of lesions struggle with an advanced disease with a low survival rate, according to a statement from UH.

"We anticipate that the identification of these cells will enable drug discovery to pre-empt these cancers at their site of origin,” McKeon said in a statement.

Uncovering this information about the cancers' cells of origin also helps researchers group EAC and iGC as a cluster distinct from other gastric and esophageal cancers.

McKeon will be joined on the project by Wa Xian, research associate professor of biology and biochemistry at UH, and Dr. Jaffer Ajani of MD Anderson Cancer Center.

Xian is an expert in stem cell cloning. The team aims to clone the EAC and iGC precursor legions to better understand the evolution of the cancers as part of their research.

"We anticipate that our studies will provide new insights into the biology and origin of these remarkably similar and widespread cancers, provide datasets essential for prospective early detection screens and yield highly selective therapeutics that eliminate the nascent lesions essential for the evolution of these cancers,” McKeon added in the statement.

Other UH researchers have received major grants for cancer-fighting innovations in recent months. Shaun Zhang, director of the Center for Nuclear Receptors and Cell Signaling at the University of Houston and a M.D. Anderson professor in the Department of Biology & Biochemistry, received a $1.8 million grant from the National Institutes of Health to develop a cancer-fighting virus in July.

The nonprofit Cancer Prevention & Research Institute of Texas (CPRIT) also shelled out nearly $22 million in grants to successfully lure nine high-profile cancer researchers to Houston late last year.

Wa Xian (left) research associate professor of biology and biochemistry, with Frank McKeon, professor of biology and biochemistry and director of the Somatic Stem Cell Center at UH. Photo via UH.edu

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

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.