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

NIH funding

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 received a $10 million, five-year grant from the National Institutes of Health last month 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.

The center was originally funded by an NIH grant, and its models have contributed to the discovery of several new rare disease genes and new symptoms caused by known disease genes. It hosts an online portal that allows physicians, families and advocacy groups to nominate genetic variants or rare diseases that need further investigation or new treatments.

Since its founding in 2020, it has received 156 disease/variant nominations, accepted 63 for modeling and produced more than 200 precision models, according to Baylor.

The center plans to use the latest round of funding to bring together more experts in rare disease research, animal modeling and bioinformatics, and to expand its focus and model more complex diseases.

Dr. Jason Heaney, associate professor in the Department of Molecular and Human Genetics at BCM, serves as the lead principal investigator of the center.

“The Department of Molecular and Human Genetics is uniquely equipped to bring together the diverse expertise needed to connect clinical human genetics, animal research and advanced bioinformatics tools,” Heaney added in the release. “This integration allows us to drive personalized medicine forward using precision animal models and to turn those discoveries into better care for patients.”

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A new AI tool from a Baylor College of Medicine Lab could help better diagnose specific types of autism spectrum disorder, epilepsy and developmental delay disorders. Photo via Getty Images.

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.

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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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.

SpaceX to get more than 700 acres of Texas wildlife refuge in land swap

Space News

A federal judge on Monday, September 21, refused to block the Trump administration from giving SpaceX more than 700 acres of wildlife refuge as part of a land swap in Texas, while environmental groups vowed to continue their legal challenge.

U.S. District Judge Fernando Rodriguez Jr. declined the plaintiffs' request for a preliminary injunction to prevent the parcel exchange, saying they failed to prove it would worsen ecological risks to a Gulf Coast region already transformed by billionaire Elon Musk’s rocket operations.

In June, the U.S. Fish and Wildlife Service approved moving forward with the deal with SpaceX, which would surrender 683 acres the company owns in exchange for the federal land in the Lower Rio Grande Valley National Wildlife Refuge. The 103,000-acre refuge spans four counties along the Texas border and is home to animal habitats and historical landmarks.

Maps show the land SpaceX would acquire would be closer to the company's launchpad near the U.S.-Mexico border.

The swap amounts to a gift of public lands to SpaceX, “clearing the way for bulldozers to tear into this wildlife refuge as soon as next week and turn a public treasure into a private payday,” said Laiken Jordahl, a spokesperson with the Center for Biological Diversity, which filed the lawsuit alongside other opponents including tribal groups. Jordahl said Monday that the litigation will continue even as the exchange goes forward.

“This court order is not the final word. These lands hold incredible spiritual, historical and conservation value for the people and wildlife of South Texas. We won’t stop fighting to keep this irreplaceable public wildlife refuge safe from SpaceX bulldozers,” Jordahl said in a statement.

The lawsuit asks the federal court to halt the exchange, which has worried SpaceX opponents in the area who have long criticized the company's expanding footprint over lost access to beaches and concerns over exploding rockets.

The Fish and Wildlife Service didn’t respond to a request for comment on Monday’s decision. Previously, a spokesperson had said the agency does not comment on ongoing litigation.

The agency issued a final environmental assessment report in June that determined the exchange would cause no significant impact to the area. The report said the federal government believed the acquisition would represent a “net conservation benefit” and provide “substantial long-term conservation value and improving landscape-scale habitat connectivity across refuges in South Texas.”

The judge said that the plaintiffs offered “relatively weak” evidence of environmental harm.

“While they rightfully argue that the preservation of wildlife and historical lands furthers the public interest, they present no evidence demonstrating that the Property will suffer aesthetic, environmental, cultural, or historical degradation during the pendency of this lawsuit,” Rodriguez wrote in his ruling.

In addition, the judge said a preliminary injunction would result in modifications to SpaceX’s development plans, “placing additional hardship on the company’s ability to meet milestones and contractual obligations.”

SpaceX did not return an email seeking comment on the judge's ruling.

The space exploration company first broke ground in Texas more than a decade ago and has expanded rapidly, so much that SpaceX employees last year voted to incorporate their own local government called Starbase.

Rice Alliance, Greentown name winners of Houston Energy and Climate Week pitch competitions

winner winners

Approximately 100 startups from around the world pitched their breakthrough technologies and businesses during Houston Energy and Climate Week, with a select few taking home top prizes and bragging rights.

Each year, investors at the Rice Alliance Energy Technology Venture Forum name the 10 most-promising startups. Greentown's Climatetech Summit also culminates in a pitch event, where member companies can earn cash prizes.

Here's who won at two of the week's anchor events and competitions.

Rice Alliance Energy Tech Venture Forum

The 23nd annual event was held Thursday, Sept. 17, at Rice University’s Jones Graduate School of Business. The most-promising companies were selected by industry experts and participating investors attending the event.

The 10 most-promising companies included:

  • Australia-based Aquafortus, which has developed a non-thermal liquid to liquid desalination technology for resource recovery from wastewater brine
  • Houston-based Focis AI, which converts industrial laser scans into a queryable digital twin of refineries and plants
  • Houston-based ironlattice, a semiconductor manufacturing company
  • Houston-based Licube, which has developed technology to produce ultra-high-purity lithium compounds for the fusion energy, pharmaceuticals, semiconductors and high-performance solid-state battery sectors
  • Houston-based Mars Materials, a clean chemical manufacturing business that is working to convert captured carbon into resources, such as carbon fiber and wastewater treatment chemicals
  • Dallas-based MCatalysis, which has developed a suite of proprietary microwave-driven catalysts to produce high-quality, ready-to-use fuels compatible with existing infrastructure
  • Oslo, Norway-based OTee, an automation machinery manufacturer
  • Houston-based Pike Robotics, which deploys its Wall-Eye robot to inspect hazardous tanks without taking assets offline
  • New Mexico-based Spiritus, a direct-air-capture (DAC) technology company
  • San Francisco-based UptimeAI Inc., which develops AI reasoning agents for industrial operations teams

Stellai won the People's Choice Award. The Norwegian company develops AI products for the waste management industry.

The energy technology ventures selected to participate in the forum were named earlier this year. See the full list here, and read about last year's winners here.

Greentown Lab's Climatetech Summit

The annual summit was held Wednesday, Sept. 16, featured a number of Houston startups in its pitch competition and lighting pitch round. Judges included Dave Dreessen,, Jon Greene, Naval Preet Singh, Philip Llewellyn, Erin Madro, Justin Yeung, Jay Kim, Rawand Rasheed and Moji Karimi.

Pitch winners included:

  • First place: Elementium Materials' CEO Matthew Dawson, winning a $10,000 cash prize sponsored by TotalEnergies plus another $10,000 in legal services sponsored by Foley Hoag. The company develops advanced battery electrolytes. It is a Greentown Boston member; though Dawson is based in Houston.
  • Second place: Houston-based Solidec CEO and co-founder Ryan DuChanois, winning $5,000 in legal services sponsored by Foley Hoag. The company electrolyzes air, water and electricity into onsite hydrogen peroxide.

Lightening pitch winners included:

  • First place: Montana-based MagDrive Technologies, winning a $1,000 cash prize sponsored by Energy Transition Ventures. The company develops magnetically actuated, zero-emission valve systems that eliminate fugitive emissions and improve reliability.
  • Second place: Houston-based HEXASpec, winning a $500 cash prize sponsored by Foley Hoag. The company has created a new material to improve heat management for the semiconductor industry.

Read Greentown's recap of the summit here.

Houston Energy and Climate Week announced that the 2027 event will move to the spring, held April 4-10.

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

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