Houston med school lands $3.5M grant to rollout genetic telehealth platform for underserved newborns

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Baylor College of Medicine received $3.5 million to expand its telehealth platform to improve genomic diagnostics and care for critically ill newborns in underserved neonatal intensive care units in West and South Texas. Photo by Tim Bish on Unsplash

Baylor College of Medicine received $3.5 million to help hospitals in Texas better care for and diagnose some of the state's most vulnerable patients.

The funds come from the National Human Genome Research Institute for the Making Genomics Accessible to Newborns in Texas, or MAGNET, program. They'll be used to adapt BCM's Consultagene telehealth platform to be used in underserved neonatal intensive care units in West and South Texas, according to a statement.

Families in this region of the state currently can travel up to 300 miles to reach the nearest in-state geneticist, according to MAGNET. The program aims to help close that gap through BCM's established remote consultation service. Investigators also plan to create educational videos in English and Spanish to educate providers and patient caregivers on genetic diagnoses.

“Only 20 years ago, less than 3 percent of genetic conditions in newborns could be molecularly diagnosed,” Dr. Brendan Lee, co-principal investigator and professor and chair of the Department of Molecular and Human Genetics and Robert and Janice McNair Endowed Chair in Molecular and Human Genetics at BCM, says in a statement. “Today, with routine genomic tests at academic medical centers, more than one-third of these cases can be diagnosed with state-of-the-art approaches. Unfortunately, many babies born at smaller hospitals lack access to genetic evaluation and testing, remain undiagnosed and are unable to benefit from early personalized medical treatment.”

BCM has already used Consultagene to improve care for children with rare diseases at the Texas-Mexico border. In this latest program, BCM will develop a consortium of partners at underserved NICUs in the area. On-site providers will be trained on genomic medicine and creating personalized treatments for patients with genetic diseases. Baylor researchers will also study the program's impact from the perspectives of the patients, families, and providers.

“By studying how access to advanced genomics services affects critically ill newborns and those involved in their care, the MAGNET program seeks to develop best practices for implementing cost-effective, comprehensive genomic platforms like Consultagene in under-resourced settings. Understanding how best to implement programs like this can inform broader efforts to close gaps in healthcare access and equity,” Dr. Stacey Pereira, associate professor in the Center for Medical Ethics and Health Policy at Baylor and co-principal investigator, adds.

The MAGNET program is focused on finding ways to use low-cost whole genome and RNA sequencing technologies to better diagnose sick newborns in Level III and Level IV NICUs in Texas.

This fall, Baylor secured $50 million in donations to construct the Lillie and Roy Cullen Tower to house its School of Medicine and the School of Health Professions. It's set for completion next year.

Baylor Genetics has paired with Baylor’s department of molecular and human genetics to launch the Medical Genetics Multiomics Laboratory with a goal for the collaboration is to turn research into clinical diagnostics. Photo via Getty Images

This new Houston lab is translating genetics research into clinical diagnostics

DNA innovation

A new lab at Baylor College of Medicine is primed to do groundbreaking work in the field of genetics.

Baylor Genetics has paired with Baylor’s department of molecular and human genetics to launch the Medical Genetics Multiomics Laboratory (MGML). The goal for the collaboration is to turn research into clinical diagnostics.

MGML’s freshly launched first clinical test is Whole Transcriptomic RNA Sequencing (WT RNAseq). The new test builds upon the success of existing tests like whole exome sequencing (WES) and whole genome sequencing (WGS) currently on offer from Baylor Genetics by focusing on additional variants that could be missed by the other tests.

Baylor Genetics is offering WT RNAseq to the Undiagnosed Diseases Network (UDN) and its affiliated institutions. For more than a decade, the NIH-funded UDN has united clinical and research experts from across many fields and institutions to give answers to patients with rare genetic diseases. Since it became one of the first institutions to join the UDN in 2014, Baylor Genetics has been the UDN’s sequencing core, using WES, WGS and RNA sequencing to help diagnose patients. The additional offering of WT RNAseq could improve the diagnostic yield by as much as 17 percent.

“This agreement, and the MGML lab, bring to life our vision of innovation, allowing us to co-develop new tests, evaluate in terms of clinical utility, and offer commercially in either a research or clinical setting,” says Dr. Brendan Lee, professor, chair and Robert and Janice McNair Endowed Chair of Molecular and Human Genetics at Baylor College of Medicine, and scientific advisory and board of directors member at Baylor Genetics. “Baylor Genetics is turning around critical high-volume testing, but the challenge is also maintaining our innovative edge and our position as leaders in discovery and genomic health implementation. This agreement is a realization of the vision when Baylor Genetics was founded 10 years ago.”

The lab’s product offerings will continue to expand as it becomes commercially feasible to do so, and the new tests will be used both commercially and clinically.

Baylor Genetics combines the powers of Baylor College of Medicine, which has the NIH’s best-funded department of molecular and human genetics, and Japanese clinical diagnostic testing company H.U. Group Holdings.

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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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