Houston researchers create AI model to tap into how brain activity relates to illness

brainiac

BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies. Photo via Getty Images

Houston researchers are part of a team that has created an AI model intended to understand how brain activity relates to behavior and illness.

Scientists from Baylor College of Medicine worked with peers from Yale University, University of Southern California and Idaho State University to make Brain Language Model, or BrainLM. Their research was published as a conference paper at ICLR 2024, a meeting of some of deep learning’s greatest minds.

“For a long time we’ve known that brain activity is related to a person’s behavior and to a lot of illnesses like seizures or Parkinson’s,” Dr. Chadi Abdallah, associate professor in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor and co-corresponding author of the paper, says in a press release. “Functional brain imaging or functional MRIs allow us to look at brain activity throughout the brain, but we previously couldn’t fully capture the dynamic of these activities in time and space using traditional data analytical tools.

"More recently, people started using machine learning to capture the brain complexity and how it relates it to specific illnesses, but that turned out to require enrolling and fully examining thousands of patients with a particular behavior or illness, a very expensive process,” Abdallah continues.

Using 80,000 brain scans, the team was able to train their model to figure out how brain activities related to one another. Over time, this created the BrainLM brain activity foundational model. BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies.

Abdallah said that using BrainLM will cut costs significantly for scientists developing treatments for brain disorders. In clinical trials, it can cost “hundreds of millions of dollars,” he said, to enroll numerous patients and treat them over a significant time period. By using BrainLM, researchers can enroll half the subjects because the AI can select the individuals most likely to benefit.

The team found that BrainLM performed successfully in many different samples. That included predicting depression, anxiety and PTSD severity better than other machine learning tools that do not use generative AI.

“We found that BrainLM is performing very well. It is predicting brain activity in a new sample that was hidden from it during the training as well as doing well with data from new scanners and new population,” Abdallah says. “These impressive results were achieved with scans from 40,000 subjects. We are now working on considerably increasing the training dataset. The stronger the model we can build, the more we can do to assist with patient care, such as developing new treatment for mental illnesses or guiding neurosurgery for seizures or DBS.”

For those suffering from neurological and mental health disorders, BrainLM could be a key to unlocking treatments that will make a life-changing difference.

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

Houston researcher scores prestigious NSF award for machine learning, power grid tech

grant funding

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also

granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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This article originally ran on EnergyCapital.

The NIH grant goes toward TransplantAI's work developing more precise models for heart and lung transplantation. Photo via Getty Images

Houston health tech company scores $2.2M grant to use AI to make organ transplants smarter, more successful

future of medicine

The National Institute of Health has bestowed a Houston medtech company with a $2.2 million Fast-Track to Phase 2 award. InformAI will use the money for the product development and commercialization of its AI-enabled organ transplant informatics platform.

Last year, InformAI CEO Jim Havelka told InnovationMap, “A lot of organs are harvested and discarded.”

TransplantAI solves that problem, as well as organ scarcity and inefficiency in allocation of the precious resource.

How does it work? Machine learning and deep learning from a million donor transplants informs the AI, which determines who is the best recipient for each available organ using more than 500 clinical parameters. Organ transplant centers and organ procurement organizations (OPOs) will be able to use the product to make a decision on how to allocate each organ in real time. Ultimately, the tool will service 250 transplant centers and 56 OPOs around the United States.

The NIH grant goes toward developing more precise models for heart and lung transplantation (kidney and liver algorithms are further along in development thanks to a previous award from the National Science Foundation), as well as Phase 2 efforts to fully commercialize TransplantAI.

"There is an urgent need for improved and integrated predictive clinical insights in solid organ transplantation, such as for real-time assessment of waitlist mortality and the likelihood of successful post-transplantation outcomes," according to the grant’s lead clinical investigator, Abbas Rana, associate professor of surgery at Baylor College of Medicine.

“This information is essential for healthcare teams and patients to make informed decisions, particularly in complex cases where expanded criteria allocation decisions are being considered," Rana continues. "Currently, the separation of donor and recipient data into different systems requires clinical teams to conduct manual, parallel reviews for pairing assessments. Our team, along with those at other leading transplant centers nationwide, receives hundreds of organ-recipient match offers weekly.”

Organ transplantation is moving into the future, and Transplant AI is at the forefront.

Houston can learn a lot from the decades of success from Silicon Valley, according to this Houston founder, who outlines just what all the city needs to do to become the startup city it has the potential to be. Photo via Getty Images

Houston expert: Can Houston replicate and surpass the success of Silicon Valley?

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Anyone who knows me knows, as a Houston Startup Founder, I often muse about the still developing potential for startups in Houston, especially considering the amount of industry here, subject matter expertise, capital, and size.

For example, Houston is No. 2 in the country for Fortune 500 Companies — with 26 Bayou City companies on the list — behind only NYC, which has 47 ranked corporations, according to Fortune.

Considering layoffs, fund closings, and down rounds, things aren’t all that peachy in San Francisco for the first time in a long time, and despite being a Berkeley native, I’m rooting for Houston now that I’m a transplant.

Let’s start by looking at some stats.

While we’re not No. 1 in all areas, I believe we have the building blocks to be a major player in startups, and in tech (and not just energy and space tech). How? If the best predictor of future success is history, why not use the template of the GOAT of all startup cities: San Francisco and YCombinator. Sorry fellow founders – you’ve heard me talk about this repeatedly.

YCombinator is considered the GOAT of Startup Accelerators/Incubators based on:

  1. The Startup success rate: I’ve heard it’s as high as 75 percent (vs. the national average of 5 to 10 percent) Arc Search says 50 percent of YC Co’s fail within 12 years – not shabby.
  2. Their startup-to-unicorn ratio: 5 to 7 percent of YC startups become unicorns depending on the source — according to an Arc Search search (if you haven’t tried Arc Search do – super cool).
  3. Their network.

YC also parlayed that success into a "YC Startup School" offering:

  1. Free weekly lessons by YC partners — sometimes featuring unicorn alumni
  2. A document and video Library (YC SAFE, etc)
  3. Startup perks for students (AWS cloud credits, etc.)
  4. YC co-founder matching to help founders meet co-founders

Finally, there’s the over $80 billion in returns, according to Arc search, they’ve generated since their 2005 inception with a total of 4,000 companies in their portfolio at over $600 billion in value. So GOAT? Well just for perspective there were a jaw-dropping 18,000 startups in startup school the year I participated – so GOAT indeed.

So how do they do it? Based on anecdotal evidence, their winning formula is said to be the following well-oiled process:

  1. Bring over 282 startups (the number in last cohort) to San Francisco for 90 days to prototype, refine the product, and land on the go-to-market strategy. This includes a pre-seed YC SAFE investment of a phased $500,000 commitment for a fixed min 7 percent of equity, plus more equity at the next round’s valuation, according to YC.
  2. Over 50 percent of the latest cohort were idea stage and heavily AI focused.
  3. Traction day: inter-portfolio traction the company. YC has over 4,000 portfolio companies who can and do sign up for each other’s companies products because “they’re told to."
  4. Get beta testers and test from YC portfolio companies and YC network.
  5. If they see the traction scales to a massively scalable business, they lead the seed round and get this: schedule and attend the VC meetings with the founders.
  6. They create a "fear of missing out" mentality on Sand Hill Road as they casually mention who they’re meeting with next.
  7. They block competitors in the sector by getting the top VC’s to co-invest with then in the seed so competitors are locked out of the A list VC funding market, who then are up against the most well-funded and buzzed about players in the space.

If what I've seen is true, within a six-month period a startup idea is prototyped, tested, pivoted, launched, tractioned, seeded, and juiced for scale with people who can ‘make’ the company all in their corner, if not already on their board.

So how on earth can Houston best this?

  1. We have a massive amount of businesses — around 200,000 — and people — an estimated 7.3 million and growing.
  2. We have capital in search of an identity beyond oil.
  3. Our Fortune 500 companies that are hiring consultants for things that startups here that can do for free, quicker, and for a fraction of the extended cost.
  4. We have a growing base of tech talent for potential machine learning and artificial intelligence talent
  5. A sudden shot at the increasingly laid off big tech engineers.
  6. We have more accelerators and incubators.

What do we need to pull it off?

  1. An organized well-oiled YC-like process
  2. An inter-Houston traction process
  3. An "Adopt a Startup" program where local companies are willing to beta test and iterate with emerging startup products
  4. We have more accelerators but the cohorts are small — average five to 10 per cohort.
  5. Strategic pre-seed funding, possibly with corporate partners (who can make the company by being a client) and who de-risk the investment.
  6. Companies here to use Houston startup’s products first when they’re launched.
  7. A forum to match companies’ projects or labs groups etc., to startups who can solve them.
  8. A process in place to pull all these pieces together in an organized, structured sequence.

There is one thing missing in the list: there has to be an entity or a person who wants to make this happen. Someone who sees all the pieces, and has the desire, energy and clout to make it happen; and we all know this is the hardest part. And so for now, our hopes of besting YC may be up in the air as well.

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Jo Clark is the founder of Circle.ooo, a Houston-based tech startup that's streamlining events management.

The $63.5 million contract aims to support UH in developing analytical modeling and simulation platforms that help the U.S. Army make timely and effective decisions. Photo via uhsystem.edu

University of Houston lands $63.5M contract with DOD to develop tech for the 'future battlefield'

ready to innovate

The University of Houston was recently awarded its largest grant in history—this time, from the U.S. Department of Defense.

The $63.5 million contract aims to support UH in developing analytical modeling and simulation platforms that help the U.S. Army make timely and effective decisions, according to a release from UH.

Craig Glennie, professor of civil and environmental engineering and director of engineering defense research initiatives at the UH Cullen College of Engineering, who is leading the project, says the team's work will focus on creating tools for the time period before conflict begins.

“We are not looking at what happens once bullets start flying. We are looking at what happens during the competition and crisis phases, the buildup and the posturing and the projection of forces before you actually get to the point of armed conflict,” he says in a statement. “The Army needs tools to understand how they can effectively position themselves and project their force towards the adversary in such a manner that they can avoid armed conflict, or if that is not possible, be prepared for the onset of armed conflict.”

The team, which also includes members from the University of Massachusetts Amherst, New Mexico State University and other organizations, will work closely with the U.S. Army Combat Capabilities Development Command Analysis Center, known as DAC. They've been commissioned to help build realistic modeling, analysis and simulation tools that the Army can use in the "future battlefield."

DAC has named several high priority issues for the team including quantum technology, artificial intelligence, and machine learning.

“For example, we will look at the electromagnetic spectrum, at owning the airspace, and projecting that we have the radio frequency technology that is capable of jamming a neighbor’s signals," Glennie adds.

UH president Renu Khator says the university is honored to revive the contract.

“We understand the significance of this project in enhancing the Army’s decision-making capabilities, and we are proud to contribute to our nation’s security and strategic competitiveness," she said in a statement. "We look forward to the remarkable contributions that will emerge from this collaboration, strengthening the University of Houston’s commitment to driving innovation that matters.”

UH has inked a number of grants and contracts in recent months that are pushing innovative initiatives forward at the university.

Last month, UH received a $100,000 grant from the Baker Hughes Foundation to go toward workforce development programs, and environmental justice research at its Energy Transition Institute. The ETI was launched last year through a $10 million grant from Shell USA Inc. and Shell Global Solutions (US) Inc.

And earlier this month, Houston-based The Welch Foundation awarded its inaugural $5 million Catalyst for Discovery Program Grant to a new initiative led by Jeffrey Rimer, UH's Abraham E. Dukler Professor of Chemical Engineering. The grant launched the Welch Center for Advanced Bioactive Materials Crystallization, which will build upon Rimer's work relating to the use of crystals to help treat malaria and kidney stones.

Craig Glennie, professor of civil and environmental engineering and director of engineering defense research initiatives at the UH Cullen College of Engineering, is leading the project. Photo via uh.edu

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.

"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.

"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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West Coast innovation organization unveils new location in Houston suburb to boost Texas tech ecosystem

plugging in

Leading innovation platform Plug and Play announced the opening of its new flagship Houston-area location in Sugar Land, which is its fourth location in Texas.

Plug and Play has accelerated over 2,700 startups globally last year with corporate partners that include Dell Technologies, Daikin, Microsoft, LG Chem, Shell, and Mercedes. The company’s portfolio includes PayPal, Dropbox, LendingClub, and Course Hero, with 8 percent of the portfolio valued at over $100 million.

The deal, which facilitated by the Sugar Land Office of Economic Development and Tourism, will bring a new office for the organization to Sugar Land Town Square with leasing and hiring between December and January. The official launch is slated for the first quarter of 2025, and will feature 15 startups announced on Selection Day.

"By expanding to Sugar Land, we’re creating a space where startups can access resources, build partnerships, and scale rapidly,” VP Growth Strategy at Plug and Play Sherif Saadawi says in a news release. “This location will help fuel Texas' innovation ecosystem, providing entrepreneurs with the tools and networks they need to drive real-world impact and contribute to the state’s technological and economic growth."

Plug and Play plans to hire four full-time equivalent employees and accelerate two startup batches per year. The focus will be on “smart cities,” which include energy, health, transportation, and mobility sectors. One Sugar Land City representative will serve as a board member.

“We are excited to welcome Plug and Play to Sugar Land,” Mayor of Sugar Land Joe Zimmerma adds. “This investment will help us connect with corporate contacts and experts in startups and businesses that would take us many years to reach on our own. It allows us to create a presence, attract investments and jobs to the city, and hopefully become a base of operations for some of these high-growth companies.”

The organization originally entered the Houston market in 2019 and now has locations in Bryan/College Station, Frisco, and Cedar Park in Texas.

Uniquely Houston event to convene innovation experts across aerospace, energy, and medicine

guest column

Every year, Houston's legacy industries — energy, medicine, and aerospace — come together to share innovative ideas and collaborate on future opportunities.

For the eighteenth year in a row, the annual Pumps & Pipes event will showcase and explore convergence innovation and common technology themes across Houston’s three major industries. The hosting organization, also called Pumps & Pipes, was established in 2007 in Houston and is dedicated to fostering collaboration amongst the city's three major industries.

With NASA in its backyard, the world’s largest medical center, and a reputation as the “Energy Capital of the World,” Houston is uniquely positioned to lead in cross-industry convergence innovation and is reflected in the theme of this year’s event – Blueprint Houston: Converge and Innovate.

Here's what you can expect to explore at the event, which will take place this year on December 9 at TMC Helix Park. Tickets are available online.

The state of Texas’ aerospace investments

How are the recent strategic investments in aerospace by the State of Texas transforming the space economy and driving growth in adjacent industries? What is the case for cultivating a more dynamic and vibrant aerospace R&D environment?

These are the key questions explored in the opening session of Pumps & Pipes, moderated by David Alexander (Director, Rice Space Institute). Joining the discussion are distinguished leaders Norman Garza, Jr., Executive Director of the Texas Space Commission (TSC); as well as two members of the TSC board of directors: Sarah “Sassie” Duggelby, CEO/Co-Founder of Venus Aerospace; and Kathryn Lueders, GM at Starbase, SpaceX.

This panel will spotlight Texas’ critical role in shaping the future of aerospace, with a focus on its cross-sector impact, from space exploration to innovation in energy and health care. We’ll explore how the state’s investments are fueling research and development, creating economic opportunities, and fostering a more interconnected, high-tech ecosystem for the future.

Real-world applications of robotics and synthetic biology

Explore the groundbreaking intersection of syntheticbiology and robotics as they reshape industries from aerospace to energy to health care. Experts from academia and industry — Rob Ambrose of Texas A&M University, Shankar Nadarajah of ExxonMobil, Shalini Yadav of the Rice Synthetic Biology Institute, and Moji Karimi of Cemvita — will discuss the real-world applications and future possibilities of these two fields, including innovative uses of robotics and drones to monitor emissions from deep-sea oil rigs, and synthetic microbes that convert carbon dioxide into valuable chemical products.

Discover how synthetic biology and robotics are paving the way for a more sustainable, autonomous, efficient, and interconnected future.

The total artificial heart – a uniquely Houston story

Heart failure affects millions globally, yet only a small fraction of patients receive life-saving heart transplants. The Total Artificial Heart (TAH), developed by BiVACOR, offers a revolutionary solution for patients with severe heart failure who are ineligible for a transplant.

Luminary leader, Dr. Billy Cohn, will discuss the groundbreaking BiVACOR TAH, a device that fully replaces the function of the heart using a magnetically levitated rotary pump. This innovative approach is part of an FDA-approved first-in-human study, aiming to evaluate its use as a bridge-to-transplant for patients awaiting heart transplants.

Moderated by Dr. Alan Lumsden (Chair Dept. of CV Surgery at Houston Methodist Hospital), join Dr. Cohn as he shares insights, and the story-behind, this pioneering technology and its potential to reshape the future of heart failure treatment, offering new hope to thousands of patients in need.

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Stuart Corr is the director of Innovation Systems Engineering at Houston Methodist and executive director of Pumps & Pipes.

Houston schools shine on annual ranking of top institutions for 2025

best in class

Several Houston elementary and middle schools are at the top of the class when it comes to educating and preparing the next generation for a successful life and career, according to U.S. News & World Report's just-released list of 2025 Elementary and Middle Schools Rankings.

One such school – T.H. Rogers School in Houston ISD – is the No. 8 best middle school in Texas for 2025.

U.S. News ranked over 79,000 public schools on the state and district level using data from the U.S. Department of Education. Schools were analyzed based on their students' proficiencies in mathematics and reading/language arts on state assessments, and tie-breakers were decided based on student-teacher ratios.

Texas' best middle schools for 2025

Three Houston middle schools achieved spots among the top 10 best Texas middle schools for 2025, according to U.S. News.

T.H. Rogers School has a total enrollment of 1,063 students, with 87 percent of the student population scoring "at or above the proficient level" in mathematics, and 90 percent proficiency in reading. The school has a student-teacher ratio of 17:1, with 62 full-time teachers.

T.H. Rogers School also topped the district-wide list as the No. 1 best middle school in HISD.

Houston Gateway Academy - Coral Campus also ranked among the statewide top 10, coming in at No. 9 with a total enrollment of 914 students. U.S. News says 82 percent of HGA students are proficient in math, and 80 percent are proficient in reading.

"Houston Gateway Academy - Coral Campus did better in math and better in reading in this metric compared with students across the state," U.S. News said in the school's profile. "In Texas, 51 percent of students tested at or above the proficient level for reading, and 41 percent tested at or above that level for math."

Right behind HGA to round out the top 10 best Texas middle schools is Houston ISD's Briarmeadow Charter School. This middle school has 600 students, 69 percent of which are proficient in math and 74 percent are proficient reading.

Briarmeadow's student-teacher ratio is 16:1, which is better than the district-wide student-teacher ratio, and it employs 38 full-time teachers.

U.S. News also ranked Briarmeadow as the second best middle school in Houston ISD.

Six additional Houston-area schools ranked among the top 25 best middle schools in Texas, including:

  • No. 18 – Cornerstone Academy, Spring Branch ISD
  • No. 19 – Mandarin Immersion Magnet School, Houston ISD
  • No. 21 – Smith Middle School, Cypress-Fairbanks ISD
  • No. 22 – Seven Lakes Junior High, Katy ISD
  • No. 23 – Houston Gateway Academy
  • No. 25 – Beckendorff Junior High, Katy ISD

The best elementary schools in Texas

Jesus A. Kawas Elementary school in Laredo was crowned the No. 1 elementary school in Texas for 2025, while two Houston-area schools made it into the top 10.Tomball ISD's Creekside Forest Elementary in The Woodlands is the No. 7 best elementary school statewide, boasting 656 students, 42 full-time teachers, and one full-time counselor. Students at this school, which U.S. News designates is situated in a "fringe rural setting," scored 90 percent efficiency in math and 94 percent efficiency in reading.Following one spot behind Creekside Forest in the statewide ranking is Sugar Land's Commonwealth Elementary School in Fort Bend ISD, coming in at No. 8. Commonwealth has a student population of 954 with 55 full-time teachers, and two full-time counselors. The school's student-teacher ratio is 17:1, and 90 percent of students are proficient in math, and 94 percent in reading.U.S. News says student success at Commonwealth is significantly higher than the rest of Fort Bend ISD."In Fort Bend Independent School District, 59 percent of students tested at or above the proficient level for reading, and 47 percent tested at or above that level for math," U.S. News said in Commonwealth's profile. "Commonwealth Elementary [also] did better in math and better in reading in this metric compared with students across the state."Other Houston-area schools that were ranked among the 25 best in Texas are:
  • No. 13 – Bess Campbell Elementary, Sugar Land, Lamar CISD
  • No. 20 – West University Elementary, Houston ISD
  • No. 23 – T.H. Rogers School, Houston ISD
  • No. 25 – Griffin Elementary, Katy ISD

"The 2025 Best Elementary and Middle Schools rankings offer parents a way to evaluate how schools are providing a high-quality education and preparing students for future success," said LaMont Jones, Ed.D., the managing editor for Education at U.S. News. "The data empowers families and communities to advocate for their children’s education. Research continues to indicate that how students perform academically at these early grade levels is a big factor in their success in high school and beyond."

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This article originally ran on CultureMap.

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