UH scores $18M NIH grant for chronic disease research

research funding

The initiative will focus on chronic diseases like heart disease, diabetes and strokes. Photo courtesy UH

The University of Houston has received a coveted $18.8 million grant from the National Institutes of Health to launch a program to address the root causes of chronic disease.

Only 22 institutions nationwide receive this NIH award, and the 5-year process aligns with the newly established UH Health’s mission to expand healthcare innovations in Texas and beyond. The initiative will be housed in the UH Population Health department.

"This generous funding allows us to directly confront the root causes of chronic illness that place a heavy burden on so many families," Dr. Jonathan McCullers, vice president for health affairs at UH, said in a news release. "With the recent launch of UH Health, we have an unprecedented opportunity to translate scientific discovery into healthier outcomes for our communities by bringing together experts from across the university to improve health where it matters most.”

Through the program, UH researchers from different areas of expertise will work together to address the challenges of chronic illness by looking at biological, social and behavioral factors.

According to the university, chronic diseases like heart disease, diabetes, strokes and others are the leading cause of illness, disability and death in the U.S. They account for 90 percent of the nation’s $5.3 trillion in annual healthcare spending.

Bettina Beech, chief of population health and translational science at UH, serves as principal investigator for the program.

“Chronic disease management largely happens during the 8,700 hours each year that people are not visiting their healthcare provider,” Beech added in the news release. “While healthcare is indispensable, it only accounts for 20 percent of how health is created — genetics accounts for another 10 percent, and the other 70 percent is determined by behavior, social conditions and environment.”

With the funds from the grant, UH will also be able to expand research infrastructure, add to community partnerships, support complementary research, and invest in early-career investigators, according to the news release. UH also aims to develop solutions that could help ease the economic burden of chronic disease.

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The campus-wide initiative is focusing on health equity. Photo courtesy of University of Houston

University of Houston launches new health equity initiative, degree programs

population health

The University of Houston announced its latest and largest initiative to improve health equity and outcomes in the city, state, and county this week.

About 70 percent of health outcomes can be traced back to factors outside of health care and genetics, according to the program's website. The campus-wide initiative, called UH Population Health, aims to take a deeper look into those outside factors, which can include lifestyle, environment, access to healthcare, and more.

UH will add health courses and degree programs to the university's curriculum as part of the initiative and aims to help undergraduate students align population health studies with their major.

It will also look to collaborate across industries to build digital solutions for chronic disease management, and boost its population health research. Currently individuals at the university are working on 27 research grants in the population health field totaling about $37 million in funds.

“The numbers add up to one inexorable fact: Health is a social, not just medical matter,” Bettina Beech, chief population health officer at UH and a clinical professor of population health in the Department of Health Systems and Population Health Sciences at the UH College of Medicine, says in a statement. “UH Population Health is a better approach to better health. We will work together to build healthier communities and a stronger society by focusing on health equity.”

UH has been a leader in health equity programs over the last few years.

Last summer the University of Houston College of Medicine opened a low-cost health care facility on the campus of Memorial Hermann Southwest Hospital. Funded by a $1 million gift from The Cullen Trust for Health Care, the facility offers direct primary care to the uninsured, where patients pay a monthly membership.

Additionally, the university paired up with Humana to launch a value-based care program in the spring. And it's even launched research on how to use AI to improve its health equity research and vice versa.

Bettina Beech is the chief population health officer at UH. Photo via UH.edu

This week's roundup of Houston innovators includes Sarah Groen of Bell & Bly Travel, Alex Reed of Fluence Analytics, and Bettina Beech of UH. Courtesy photos

3 Houston innovators to know this week

who's who

Editor's note: In this week's roundup of Houston innovators to know, I'm introducing you to three local innovators across industries — from travel to analytics— recently making headlines in Houston innovation.

Sarah Groen, founder of Bell and Bly Travel

Sarah Groen, travel entrepreneur and longtime Houston tech ecosystem member, joins the Houston Innovators Podcast. Photo courtesy of Bell and Bly Travel

It's been a scary time for travel-related businesses, and Sarah Groen has had to get innovative to maintain her business as a travel adviser. Lucky for Groen, who has a long career in tech and innovation, she had all the right pivots, including offering digital travel packages, launching a new podcast, and more.

"During COVID, a lot of businesses either shutdown or took a pause, but we accelerated," Groen says.

Groen her career on the Houston Innovators Podcast. She also gives some strategic advice for founders — like trusting your gut and reading the signs when it comes to product-market fit — on the podcast. Click here to read more and stream the episode.

Alex Reed, co-founder and CEO of Fluence Analytics

Alex Reed joined InnovationMap for a Q&A on the company's move to Houston and its growth plans. Photo courtesy of Fluence Analytics

Alex Reed watched his father work in the labs on his research as he grew up, but he realized his future wasn't in the lab. Instead, he launched a career in taking that research and turning it into a company.

Founded in 2012 in New Orleans, Fluence Analytics has entered its next phase of growth by moving its headquarters to Houston following a $7.5 million venture capital raise.

We're working with the Houston of today, but also the Houston of tomorrow," Reed tells InnovationMap in a Q&A. Click here to read more.

Bettina Beech, chief population health officer at the University of Houston

Bettina Beech is a newly named AIM-AHEAD coordinating center team member. Photo via UH.edu

The University of Houston has joined in on a national initiative to increase the diversity of artificial intelligence researchers, according to a news release from the school. Unfortunately, AI — designed by humans — mimics human decision making through its choice of algorithms. This means that the same biases humans deal with have made it into the AI decision making too. These gaps can lead to continued disparities and inequities for underrepresented communities especially in regards to health care, job hiring, and more.

"Beyond health care, AI has been used in areas from facial recognition to self-driving cars and beyond, but there is an extreme lack of diversity among the developers of AI/ML tools. Many studies have shown that flawed AI systems and algorithms perpetuate gender and racial biases and have resulted in untoward outcomes," says Bettina Beech, chief population health officer at the University of Houston and newly named AIM-AHEAD coordinating center team member.

The initiative will bring together collaborators and experts across AI and machine learning, health equity research, data science training, data infrastructure and more. The other universities involved include: University of Colorado-Anschutz Medical Center in Aurora; University of California, Los Angeles; Meharry Medical College in Nashville; Morehouse School of Medicine in Atlanta; Johns Hopkins University, and Vanderbilt University Medical Center. Click here to read more.

UH is officially part of an initiative to diversify machine learning research. Photo courtesy of University of Houston

University of Houston joins $50M initiative to expand and diversify AI and machine learning research

money moves

A $50 million grant from the National Institutes of Health is expanding research in machine learning and artificial intelligence, and the University of Houston now has a seat at the table.

UH has joined in on a national initiative to increase the diversity of artificial intelligence researchers, according to a news release from the school. Thanks to a $50 million grant from the National Institutes of Health, the University of North Texas Health Science Center will lead the coordinating center of the AIM-AHEAD program, which stands for Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity.

"This network will be foundational to achieving the goals of the AIM-AHEAD program, which include providing more inclusive data for health disparities research, and enhancing the diversity of AI/ML leadership," says Susan Gregurick, NIH associate director for data science, in the release.

Unfortunately, AI — designed by humans — mimics human decision making through its choice of algorithms. This means that the same biases humans deal with have made it into the AI decision making too. These gaps can lead to continued disparities and inequities for underrepresented communities especially in regards to health care, job hiring, and more.

"AI solutions need to be implemented in a responsible manner and are now guided by AI ethical FAIR (findable, accessible, interoperable, reusable) principles," says Beech in the release. "The AIM-AHEAD project directly connects with the University of Houston's plan to train and diversify the future workforce in population health, increase the use of digital tools for chronic disease self-management, and to advance population health research."

Bettina Beech is the chief population health officer at the University of Houston and newly named AIM-AHEAD coordinating center team member. 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.

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