UH experts join $10M initiative advancing biopharmaceutical manufacturing

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Richard Willson (center) and his team are working to develop a mix-and-read antibody measurement system that uses fluorescent materials to determine the amount of antibody present in a sample. Photo via UH.edu

An engineering project at the University of Houston has been selected to join a $10 million effort to bring biopharmaceutical manufacturing into the future. The National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL) chose the lab of Richard Willson, Huffington-Woestemeyer Professor of chemical and biomolecular engineering at UH, as one of eight development projects that it will fund.

Willson and his team are working to develop a mix-and-read antibody measurement system that uses fluorescent materials to determine the amount of antibody present in a sample. The funding for this project is $200,000. This is the first grant UH has received from NIIMBL.

“In the course of the manufacturing processes, it's important to know the concentration of antibody in your sample and this measurement needs to be made many times in a typical manufacturing process,” said Willson in a press release. In the realm of fluorescents, he is also working to pioneer the use of glow sticks to detect biothreats for the U.S. Navy. His discoveries include a fluorescent material that emits one color of light when excited with another color of light.

Antibodies are what immune cells produce in response to alien substances such as bacteria and viruses. Lab-made antibodies, called monoclonal antibodies, have been in use since the 1980s. Antibody treatments now account for some of the world’s top-selling drugs.

“The nice thing about this reagent is that it becomes more fluorescent in the presence of antibodies, and you can determine the amount of antibody present in a sample by using it,” said Willson. “Along with our industrial partners Genentech, Agilent and Bristol Myers Squibb, we think that this might be a useful tool for people who do everything from growing the cells that make the antibodies, to determining concentrations of antibody before purifying them.”

Willson’s team also includes Katerina Kourentzi, research associate professor of chemical and biomolecular engineering at UH; Yan Chen, Agilent; Midori Greenwood-Goodwin, Genentech/Roche; and Mathura Raman, Bristol-Myers Squibb.

“One really distinguishing feature of this project is the tight coupling to industry,” said Kourentzi. “We got a lot of guidance from our industrial partners who volunteer to work with us through NIIMBL.” And through that, the technology could make it to the market in record time.

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At-home COVID-19 testing is about to get lit. Photo via Getty Images

UH researcher lights up at-home COVID-19 testing with glow-in-the-dark materials

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A Houston-based research team is tapping glow-in-the-dark materials to upgrade at-home rapid COVID-19 testing.

Researchers at the University of Houston have been rethinking the lateral flow assay (LFA) test used for at-home COVID-19 diagnostics. The traditional method indicates the sample's results with colored lines.

“We are making those lines glow-in-the-dark so that they are more detectable, so the sensitivity of the test is better,” says Richard Willson, a professor at the University of Houston, in a UH news release. He previously created a smartphone-based diagnostics app.

Willson's inspiration came from a familiar and nostalgic method — the glow-in-the-dark stars in a child's bedroom. In Willson's case, it was his daughter's bedroom, and within a few days his team of students and postdocs was designing a test featuring glowing nanoparticles made of phosphors.

The team evolved into a spin-off company called Clip Health, originally founded as Luminostics by two of the researchers. The operation is again evolving with new glowing applications.

“In this new development, there are two tricks. First, we use enzymes, proteins that catalyze reactions, to drive reactions that emit light, like a firefly. Second, we attached those light-emitting enzymes onto harmless virus particles, along with antibodies that bind to COVID proteins,” says Willson in the Royal Society of Chemistry’s journal Analyst.

The test now also can be read with a smartphone app. The group is also entertaining additional tests for other diseases.

“This technology can be used for detecting all kinds of other things, including flu and HIV, but also Ebola and biodefense agents, and maybe toxins and environmental contaminants and pesticides in food,” says Willson.

In addition to Willson, the original technology was explained in a paper with co-authors:

  • Katerina Kourentzi, University of Houston research associate professor of chemical and biomolecular engineering
  • Jacinta Conrad, Frank M. Tiller Associate Professor of Chemical and Biomolecular Engineering,
  • UH researchers Maede Chabi, Binh Vu, Kristen Brosamer, Maxwell Smith, and Dimple Chavan

Researcher Richard Willson says he was inspired by the glow-in-the-dark scars on his daughter's bedroom ceiling. Photo via UH.edu

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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