These are the latest COVID-19-focused research projects happening at Houston institutions

research roundup

A new AI-optimized COVID screening device, a free response resource, and more — here's your latest roundup of research news. Image via Getty Images

Researchers across the Houston area are working on COVID-19 innovations every day, and scientists are constantly finding new ways this disease is affecting humankind.

From a COVID breathalyzer to a new collaboration in Houston — here's your latest roundup of local coronavirus research news.

A&M System to collaborate on a COVID-19 breathalyzer

A prototype of the device will be used on the Texas A&M campus. Photo via tamu.edu

Researchers at Texas A&M University System are collaborating on a new device that uses artificial intelligence in a breathalyzer situation to detect whether individuals should be tested for COVID-19. The technology is being developed through a collaboration with Dallas-based company, Worlds Inc., and the U.S. Air Force.

The device is called Worlds Protect and a patient can use a disposable straw to blow into a copper inlet. In less than a minute, test results can be sent to the person's smartphone. Worlds Inc. co-founders Dave Copps and Chris Rohde envision Worlds Protect kiosks outside of highly populated areas to act as a screening process, according to a news release.

"People can walk up and, literally, just breathe into the device," says Rohde, president of Worlds Inc., in the release. "It's completely noninvasive. There's no amount of touching. And you quickly get a result. You get a yay or nay."

The university system has contributed $1 million in the project's development and is assisting Worlds Inc. with engineering and design, prototype building and the mapping of a commercial manufacturing process. According to the release, the plan was to test the prototypes will be tried out this fall on the Texas A&M campus.

"Getting tech innovations to market is one of our sweet spots," says John Sharp, chancellor of the Texas A&M System, in the release. "This breakthrough could have lasting impact on global public health."

Baylor College of Medicine researchers to determine cyclosporine’s role in treating hospitalized COVID-19 patients

BCM researchers are looking into the treatment effect of an existing drug on COVID-19 patients. Photo via BCM.edu

The Baylor College of Medicine has launched a randomized clinical trial to look into how the drug cyclosporine effects the prevention of disease progression in pre-ICU hospitalized COVID-19 patients. The drug has been used for about 40 years to prevent rejection of organ transplants and to treat patients with rheumatoid arthritis and psoriasis.

"The rationale is strong because the drug has a good safety profile, is expected to target the body's hyperimmune response to COVID and has been shown to directly inhibit human coronaviruses in the lab," says Dr. Bryan Burt, chief of thoracic surgery in the Michael E. DeBakey Department of Surgery at Baylor, says in a press release.

Burt initiated this trial and BCM is the primary site for the study, with some collaboration with Brigham and Women's. The hypothesis is that the drug will help prevent the cytokine storm that patients with COVID-19 experience that causes their health to decline rapidly, according to the release.

The study, which is funded by Novartis, plans to enroll 75 hospitalized COVID-19 patients at Baylor St. Luke's Medical Center who are not in the ICU. There will be an initial evaluation at six months but Burt expects to have the final study results in one year.

Rice launches expert group to help guide pandemic response

A new response team is emerging out of a collaboration led by Rice University. Photo courtesy of Rice

Rice University is collaborating with other Houston institutions to create the Biomedical Expert Panel, supported by Texas Policy Lab, to assist officials in long-term pandemic recovery.

"Not all agencies and decision-makers have an in-house epidemiologist or easy access to leaders in infectious disease, immunology and health communications," says Stephen Spann, chair of the panel and founding dean of the University of Houston College of Medicine, in a news release. "This panel is about equity. We must break out of our knowledge siloes and face this challenge together, with a commitment to inclusivity and openness."

The purpose of the panel is to be available as a free resource to health departments, social service agencies, school districts and other policymakers. The experts will help design efficient public health surveillance plans, advise on increasing testing capacity and access for underserved communities, and more.

"The precise trajectory of the local epidemic is difficult to predict, but we know that COVID-19 will continue to be a long-term challenge," says E. Susan Amirian, an epidemiologist who leads the TPL's health program, in the release. "Although CDC guidelines offer a good foundation, there is no one-size-fits-all approach when managing a crisis of this magnitude across diverse communities with urgent needs."

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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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