Houston researchers tap into tech to provide new brain-related health care solutions

research roundup

From advanced computation to robots, Rice University, the University of Houston, and Houston Methodist are all working on using technology for medical innovation. Graphic via Getty Images

Research, perhaps now more than ever, is crucial to expanding and growing innovation in Houston — and it's happening across the city right under our noses.

In InnovationMap's latest roundup of research news, three Houston institutions are working on brain-related health care solutions thanks to technologies.

University of Houston research team focused on brain injury treatment through computation

Badri Roysam and his team at the University of Houston are working with the National Institute of Health to develop tools to treat concussions and brain injuries. Photo via uh.edu

A University of Houston researcher is tapping into technology to better treat brain injuries and conditions that scientists have not yet figured out treatment for. Badri Roysam, the current chair of electrical and computer engineering at UH and a Hugh Roy and Lillie Cranz Cullen University Professor, and his team have created a new computational image analysis methods based on deep neural networks.

"We are interested in mapping and profiling unhealthy and drug-treated brain tissue in unprecedented detail to reveal multiple biological processes at once - in context," Roysam says in a UH press release about his latest paper published in Nature Communications. "This requires the ability to record high-resolution images of brain tissue covering a comprehensive panel of molecular biomarkers, over a large spatial extent, e.g., whole-brain slices, and automated ability to generate quantitative readouts of biomarker expression for all cells."

Roysam's system, which was developed at the the National Institute of Neurological Disorders and Stroke, analyzes the images on UH's supercomputer automatically and can reveal multiple processes at once – the brain injury, effects of the drug being tested and the potential side effects of the drug, per the release.

"Compared to existing screening techniques, using iterative immunostaining and computational analysis, our methods are more flexible, scalable and efficient, enabling multiplex imaging and computational analysis of up to 10 – 100 different biomarkers of interest at the same time using direct or indirect IHC immunostaining protocols," says Roysam in the release.

The open-source toolkit, which was developed thanks to a $3.19 million grant from the National Institute of Health, is also adaptable to other tissues.

"We are efficiently overcoming the fluorescence signal limitations and achieving highly enriched and high-quality source imagery for reliable automated scoring at scale," says Roysam. "Our goal is to accelerate system-level studies of normal and pathological brains, and pre-clinical drug studies by enabling targeted and off-target drug effects to be profiled simultaneously, in context, at the cellular scale."

Houston Methodist and Rice University launch new collaboration to use robotics for clinical solutions

Rice University's Behnaam Aazhang and Marcia O'Malley are two of the people at the helm of the new center along with Houston Methodist's Dr. Gavin Britz. Photos via Rice.edu

Rice University and Houston Methodist have teamed up to create a new partnership and to launch the Center for Translational Neural Prosthetics and Interfaces in order to bring together scientists, clinicians, engineers, and surgeons to solve clinical problems with neurorobotics.

"This will be an accelerator for discovery," says the new center's co-director, Dr. Gavin Britz, chair of the Houston Methodist Department of Neurosurgery, in a news release. "This center will be a human laboratory where all of us — neurosurgeons, neuroengineers, neurobiologists — can work together to solve biomedical problems in the brain and spinal cord. And it's a collaboration that can finally offer some hope and options for the millions of people worldwide who suffer from brain diseases and injuries."

The center will have representatives from both Rice and Houston Methodist and also plans to hire three additional engineers who will have joint appointments at Houston Methodist and Rice.

"The Rice Neuroengineering Initiative was formed with this type of partnership in mind," says center co-director Behnaam Aazhang, Rice's J.S. Abercrombie Professor of Electrical and Computer Engineering, who also directs the neuroengineering initiative. "Several core members, myself included, have existing collaborations with our colleagues at Houston Methodist in the area of neural prosthetics. The creation of the Center for Translational Neural Prosthetics and Interfaces is an exciting development toward achieving our common goals."

The team will have a presence on the Rice campus with 25,000 square feet of space in the Rice Neuroengineering Initiative laboratories and experimental spaces in the university's BioScience Research Collaborative. The space at Houston Methodist is still being developed.

"This partnership is a perfect blend of talent," says Rice's Marcia O'Malley, a core member of both the new center and university initiative. "We will be able to design studies to test the efficacy of inventions and therapies and rely on patients and volunteers who want to help us test our ideas. The possibilities are limitless."

Three UH researchers are revolutionizing the way we think the brain works. Andriy Onufriyenko/Getty Images

3 ways University of Houston researchers are innovating brain treatments and technologies

Brain teasers

While a lot of scientists and researchers have long been scratching their heads over complicated brain functionality challenges, these three University of Houston researchers have made crucial discoveries in their research.

From dissecting the immediate moment a memory is made or incorporating technology to solve mobility problems or concussion research, here are the three brain innovations and findings these UH professors have developed.

Brains on the move

Professor of biomedical engineering Joe Francis is reporting work that represents a significant step forward for prosthetics that perform more naturally. Photo courtesy of UH Research

Brain prosthetics have come a long way in the past few years, but a UH professor and his team have discovered a key feature of a brain-computer interface that allows for an advancement in the technology.

Joe Francis,a UH professor of biomedical engineering, reported in eNeuro that the BCI device is able to learn on its own when its user is expecting a reward through translating interactions "between single-neuron activities and the information flowing to these neurons, called the local field potential," according to a UH news release. This is all happening without the machine being specifically programmed for this capability.

"This will help prosthetics work the way the user wants them to," says Francis in the release. "The BCI quickly interprets what you're going to do and what you expect as far as whether the outcome will be good or bad."

Using implanted electrodes, Francis tracked the effects of reward on the brain's motor cortex activity.

"We assume intention is in there, and we decode that information by an algorithm and have it control either a computer cursor, for example, or a robotic arm," says Francis in the release.

A BCI device would be used for patients with various brain conditions that, as a result of their circumstances, don't have full motor functionality.

"This is important because we are going to have to extract this information and brain activity out of people who cannot actually move, so this is our way of showing we can still get the information even if there is no movement," says Francis.

Demystifying the memory making moments

Margaret Cheung, a UH professor, is looking into what happens when a memory is formed in the brain. Photo courtesy of UH Research

What happens when a brain forms a new memory? Margaret Cheung, a UH professor in the school of physics, computer science, and chemistry, is trying to find out.

Cheung is analyzing the exact moment a neuron forms a memory in our brains and says this research will open doors to enhancing memory making in the future.

"The 2000 Nobel laureate Eric Kandel said that human consciousness will eventually be explained in terms of molecular signaling pathways. I want to see how far we can go to understand the signals," says Cheung in a release.

Cheung is looking at calcium in particular, since this element impacts most of cellular life.

"How the information is transmitted from the calcium to the calmodulin and how CaM uses that information to activate decisions is what we are exploring," says Cheung in the release. "This interaction explains the mechanism of human cognition."

Her work is being funded by a $1.1 million grant from the National Institute of General Medical Science from the National Institutes of Health, and she's venturing into uncharted territories with her calcium signaling studies. Previous research hasn't been precise or conclusive enough for real-world application.

"In this work we seek to understand the dynamics between calcium signaling and the resulting encoded CaM states using a multiphysics approach," says Cheung. "Our expected outcome will advance modeling of the space-time distribution of general secondary messengers and increase the predictive power of biophysical simulations."

New tech for brain damage treatment

Badri Roysam, chair of the University of Houston Department of Electrical and Computer Engineering, is leading the project that uncovering new details surrounding concussions. Photo courtesy of UH Research

Concussions and brain damage have both had their fair shares of question marks, but this UH faculty member is tapping into new technologies to lift the curtain a little.

Badri Roysam, the chair of the University of Houston Department of Electrical and Computer Engineering, is heading up a multimillion-dollar project that includes "super microscopes" and the UH supercomputer at the Hewlett Packard Enterprise Data Science Institute. Roysam calls the $3.19 million project a marriage between these two devices.

"By allowing us to see the effects of the injury, treatments and the body's own healing processes at once, the combination offers unprecedented potential to accelerate investigation and development of next-generation treatments for brain pathologies," says Roysam in a release.

The project, which is funded by the National Institute of Neurological Disorders and Stroke (NINDS), is lead by Roysam and co-principal investigator John Redell, assistant professor at UTHealth McGovern Medical School. The team also includes NINDS scientist Dragan Maric and UH professors Hien Van Nguyen and Saurabh Prasad.

Concussions, which affect millions of people, have long been mysterious to scientists due to technological limitations that hinder treatment options and opportunities.

"We can now go in with eyes wide open whereas before we had only a very incomplete view with insufficient detail," says Roysam in the release. "The combinations of proteins we can now see are very informative. For each cell, they tell us what kind of brain cell it is, and what is going on with that cell."

The technology and research can be extended to other brain conditions, such as strokes, brain cancer, and more.

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Houston lab develops AI tool to improve neurodevelopmental diagnoses

developing news

One of the hardest parts of any medical condition is waiting for answers. Speeding up an accurate diagnosis can be a doctor’s greatest mercy to a family. A team at Baylor College of Medicine has created technology that may do exactly that.

Led by Dr. Ryan S. Dhindsa, assistant professor of pathology and immunology at Baylor and principal investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, the scientists have developed an artificial intelligence-based approach that will help doctors to identify genes tied to neurodevelopmental disorders. Their research was recently published the American Journal of Human Genetics.

According to its website, Dhindsa Lab uses “human genomics, human stem cell models, and computational biology to advance precision medicine.” The diagnoses that stem from the new computational tool could include specific types of autism spectrum disorder, epilepsy and developmental delay, disorders that often don’t come with a genetic diagnosis.

“Although researchers have made major strides identifying different genes associated with neurodevelopmental disorders, many patients with these conditions still do not receive a genetic diagnosis, indicating that there are many more genes waiting to be discovered,” Dhindsa said in a news release.

Typically, scientists must sequence the genes of many people with a diagnosis, as well as people not affected by the disorder, to find new genes associated with a particular disease or disorder. That takes time, money, and a little bit of luck. AI minimizes the need for all three, explains Dhindsa: “We used AI to find patterns among genes already linked to neurodevelopmental diseases and predict additional genes that might also be involved in these disorders.”

The models, made using patterns expressed at the single-cell level, are augmented with north of 300 additional biological features, including data on how intolerant genes are to mutations, whether they interact with other known disease-associated genes, and their functional roles in different biological pathways.

Dhindsa says that these models have exceptionally high predictive value.

“Top-ranked genes were up to two-fold or six-fold, depending on the mode of inheritance, more enriched for high-confidence neurodevelopmental disorder risk genes compared to genic intolerance metrics alone,” he said in the release. “Additionally, some top-ranking genes were 45 to 500 times more likely to be supported by the literature than lower-ranking genes.”

That means that the models may actually validate genes that haven’t yet been proven to be involved in neurodevelopmental conditions. Gene discovery done with the help of AI could possibly become the new normal for families seeking answers beyond umbrella terms like “autism spectrum disorder.”

“We hope that our models will accelerate gene discovery and patient diagnoses, and future studies will assess this possibility,” Dhindsa added.

Texas robotics co. begins new search for missing Malaysia Airlines flight 370

International News

Malaysia’s government has given final approval for a Texas-based marine robotics company to renew the search for Malaysia Airlines Flight 370, which is believed to have crashed in the southern Indian Ocean more than a decade ago.

Cabinet ministers agreed to terms and conditions for a “no-find, no-fee” contract with Texas-based Ocean Infinity to resume the seabed search operation at a new 5,800-square-mile site in the ocean, Transport Minister Anthony Loke said in a statement Wednesday. Ocean Infinity will be paid $70 million only if wreckage is discovered.

The Boeing 777 plane vanished from radar shortly after taking off on March 8, 2014, carrying 239 people, mostly Chinese nationals, on a flight from Malaysia’s capital, Kuala Lumpur, to Beijing. Satellite data showed the plane turned from its flight path and headed south to the far-southern Indian Ocean, where it is believed to have crashed.

An expensive multinational search failed to turn up any clues to its location, although debris washed ashore on the east African coast and Indian Ocean islands. A private search in 2018 by Ocean Infinity also found nothing.

The final approval for a new search came three months after Malaysia gave the nod in principle to plans for a fresh search.

Ocean Infinity CEO Oliver Punkett earlier this year reportedly said the company had improved its technology since 2018. He has said the firm is working with many experts to analyze data and had narrowed the search area to the most likely site.

Loke said his ministry will ink a contract with Ocean Infinity soon but didn’t provide details on the terms. The firm has reportedly sent a search vessel to the site and indicated that January-April is the best period for the search.

“The government is committed to continuing the search operation and providing closure for the families of the passengers of flight MH370,” he said in a statement.

Harris County booms with 3rd biggest population in U.S.

Boomtown

Newly released U.S. Census Bureau data has revealed Harris County became the third most populous county nationwide in 2024, and it had the highest year-over-year growth rate from 2023.

The new population report, published this month, estimated year-over-year population data from 2023 to 2024 across all 3,144 U.S. counties, and 387 metro areas.

Harris County's numeric growth rate outpaced all other U.S. counties from July 1, 2023 to July 1, 2024, the report found. The Census Bureau estimated Harris County's population grew by 105,852 people year-over-year, bringing the total population to 5,009,302 residents. That's around a 2.16 percent growth rate.

Los Angeles County, California (No. 1) and Illinois' Cook County (No. 2) are the only two U.S. counties that have larger populations than Harris County. Los Angeles County now boasts a population of nearly 9.76 million, while Cook County's has increased to more than 5.18 million people.

The top 10 most populous counties in the U.S. are:

No. 1 – Los Angles County, California
No. 2 – Cook County, Illinois
No. 3 – Harris County, Texas
No. 4 – Maricopa County, Arizona
No. 5 – San Diego County, California
No. 6 – Orange County, California
No. 7 – Miami-Dade County, Florida
No. 8 – Dallas County, Texas
No. 9 – Kings County, New York
No. 10 – Riverside County, California

Montgomery County also ranked among the top 10 U.S. counties with the highest numeric growth, ranking 9th nationally after gaining 34,268 residents from 2023 to 2024. Montgomery County's population has now grown to 749,613 people.

In the report's national comparison of counties with the largest population growth by percentage, Montgomery County ranked No. 7 with a year-over-year growth rate of 4.8 percent.

Most populated U.S. metro areas

The U.S. Census Bureau additionally found Houston-Pasadena-The Woodlands nearly led the nation as the second-fastest growing metro area in 2024.

From July 2023 to July 2024, the Houston metro added 198,171 residents to bring the total population to 7,796,182.

New York-Newark-Jersey City was the only metro area to outpace Houston's growth during the one-year period. The New York-New Jersey metro added 213,403 new residents, which brought the total population to over 19.94 million last year.

Kristie Wilder, a Census Bureau Population Division demographer, said in the report that the nation's population growth in its major metros was largely impacted by international migration rather than changes in birth rates.

"While births continue to contribute to overall growth, rising net international migration is offsetting the ongoing net domestic outmigration we see in many of these areas," Wilder said.

Dallas-Fort Worth-Arlington was right behind Houston as the third-fastest growing U.S. metro in 2024. The Metroplex gained 177,922 residents last year, and now has a total population of more than 8.34 million.

The top 10 U.S. metros with the highest numeric growth from 2023 to 2024 are:

No. 1 – New York-Newark-Jersey City, New York-New Jersey
No. 2 – Houston-Pasadena-The Woodlands, Texas
No. 3 – Dallas-Fort Worth-Arlington, Texas
No. 4 – Miami-Fort Lauderdale-West Palm Beach, Florida
No. 5 – Washington-Arlington-Alexandria, D.C.-Virginia-Maryland-West Virginia
No. 6 – Phoenix-Mesa-Chandler, Arizona
No. 7 – Orlando-Kissimmee-Sanford, Florida
No. 8 – Atlanta-Sandy Springs-Roswell, Georgia
No. 9 – Chicago-Naperville-Elgin, Illinois-Indiana
No. 10 – Seattle-Tacoma-Bellevue, Washington

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This article originally appeared on our sister site, CultureMap.com.

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