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.”

From Your Site Articles
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.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

5 Houston scientists named winners of prestigious Hill Prizes 2026

prized research

Five Houston scientists were recognized for their "high-risk, high-reward ideas and innovations" by Lyda Hill Philanthropies and the Texas Academy of Medicine, Engineering, Science and Technology (TAMEST).

The 2026 Hill Prizes provide seed funding to top Texas researchers. This year's prizes were given out in seven categories, including biological sciences, engineering, medicine, physical sciences, public health and technology, and the new artificial intelligence award.

Each recipient’s institution or organization will receive $500,000 in direct funding from Dallas-based Lyda Hill Philanthropies. The organization has also committed to giving at least $1 million in discretionary research funding on an ad hoc basis for highly-ranked applicants who were not selected as recipients.

“It is with great pride that I congratulate this year’s Hill Prizes recipients. Their pioneering spirit and unwavering dedication to innovation are addressing some of the most pressing challenges of our time – from climate resilience and energy sustainability to medical breakthroughs and the future of artificial intelligence,” Lyda Hill, founder of Lyda Hill Philanthropies, said in a news release.

The 2026 Houston-area recipients include:

Biological Sciences: Susan M. Rosenberg, Baylor College of Medicine

Rosenberg and her team are developing ways to fight antibiotic resistance. The team will use the funding to screen a 14,000-compound drug library to identify additional candidates, study their mechanisms and test their ability to boost antibiotic effectiveness in animal models. The goal is to move toward clinical trials, beginning with veterans suffering from recurrent infections.

Medicine: Dr. Raghu Kalluri, The University of Texas MD Anderson Cancer Center

Kalluri is developing eye drops to treat age-related macular degeneration (AMD), the leading cause of vision loss globally. Kalluri will use the funding to accelerate studies and support testing for additional ocular conditions. He was also named to the National Academy of Inventors’ newest class of fellows last month.

Engineering: Naomi J. Halas, Rice University

Co-recipeints: Peter J. A. Nordlander and Hossein Robatjazi, Rice University

Halas and her team are working to advance light-driven technologies for sustainable ammonia synthesis. The team says it will use the funding to improve light-driven catalysts for converting nitrogen into ammonia, refine prototype reactors for practical deployment and partner with industry collaborators to advance larger-scale applications. Halas and Nordlander are co-founders of Syzygy Plasmonics, and Robatjazi serves as vice president of research for the company.

The other Texas-based recipients include:

  • Artificial Intelligence: Kristen Grauman, The University of Texas at Austin
  • Physical Sciences: Karen L. Wooley, Texas A&M University; Co-Recipient: Matthew Stone, Teysha Technologies
  • Public Health: Dr. Elizabeth C. Matsui, The University of Texas at Austin and Baylor College of Medicine
  • Technology: Kurt W. Swogger, Molecular Rebar Design LLC; Co-recipients: Clive Bosnyak, Molecular Rebar Design, and August Krupp, MR Rubber Business and Molecular Rebar Design LLC

Recipients will be recognized Feb. 2 during the TAMEST 2026 Annual Conference in San Antonio. They were determined by a committee of TAMEST members and endorsed by a committee of Texas Nobel and Breakthrough Prize Laureates and approved by the TAMEST Board of Directors.

“On behalf of TAMEST, we are honored to celebrate the 2026 Hill Prizes recipients. These outstanding innovators exemplify the excellence and ambition of Texas science and research,” Ganesh Thakur, TAMEST president and a distinguished professor at the University of Houston, added in the release. “Thanks to the visionary support of Lyda Hill Philanthropies, the Hill Prizes not only recognize transformative work but provide the resources to move bold ideas from the lab to life-changing solutions. We are proud to support their journeys and spotlight Texas as a global hub for scientific leadership.”

Investment bank opens new Houston office focused on energy sector

Investment bank Cohen & Co. Capital Markets has opened a Houston office to serve as the hub of its energy advisory business and has tapped investment banking veteran Rahul Jasuja as the office’s leader.

Jasuja joined Cohen & Co. Capital Markets, a subsidiary of financial services company Cohen & Co., as managing director, and head of energy and energy transition investment banking. Cohen’s capital markets arm closed $44 billion worth of deals last year.

Jasuja previously worked at energy-focused Houston investment bank Mast Capital Advisors, where he was managing director of investment banking. Before Mast Capital, Jasuja was director of energy investment banking in the Houston office of Wells Fargo Securities.

“Meeting rising [energy] demand will require disciplined capital allocation across traditional energy, sustainable fuels, and firm, dispatchable solutions such as nuclear and geothermal,” Jasuja said in a news release. “Houston remains the center of gravity where capital, operating expertise, and execution come together to make that transition investable.”

The Houston office will focus on four energy verticals:

  • Energy systems such as nuclear and geothermal
  • Energy supply chains
  • Energy-transition fuel and technology
  • Traditional energy
“We are making a committed investment in Houston because we believe the infrastructure powering AI, defense, and energy transition — from nuclear to rare-earth technology — represents the next secular cycle of value creation,” Jerry Serowik, head of Cohen & Co. Capital Markets, added in the release.

---

This article originally appeared on EnergyCaptialHTX.com.

MD Anderson makes AI partnership to advance precision oncology

AI Oncology

Few experts will disagree that data-driven medicine is one of the most certain ways forward for our health. However, actually adopting it comes at a steep curve. But what if using the technology were democratized?

This is the question that SOPHiA GENETICS has been seeking to answer since 2011 with its universal AI platform, SOPHiA DDM. The cloud-native system analyzes and interprets complex health care data across technologies and institutions, allowing hospitals and clinicians to gain clinically actionable insights faster and at scale.

The University of Texas MD Anderson Cancer Center has just announced its official collaboration with SOPHiA GENETICS to accelerate breakthroughs in precision oncology. Together, they are developing a novel sequencing oncology test, as well as creating several programs targeted at the research and development of additional technology.

That technology will allow the hospital to develop new ways to chart the growth and changes of tumors in real time, pick the best clinical trials and medications for patients and make genomic testing more reliable. Shashikant Kulkarni, deputy division head for Molecular Pathology, and Dr. J. Bryan, assistant professor, will lead the collaboration on MD Anderson’s end.

“Cancer research has evolved rapidly, and we have more health data available than ever before. Our collaboration with SOPHiA GENETICS reflects how our lab is evolving and integrating advanced analytics and AI to better interpret complex molecular information,” Dr. Donna Hansel, division head of Pathology and Laboratory Medicine at MD Anderson, said in a press release. “This collaboration will expand our ability to translate high-dimensional data into insights that can meaningfully advance research and precision oncology.”

SOPHiA GENETICS is based in Switzerland and France, and has its U.S. offices in Boston.

“This collaboration with MD Anderson amplifies our shared ambition to push the boundaries of what is possible in cancer research,” Dr. Philippe Menu, chief product officer and chief medical officer at SOPHiA GENETICS, added in the release. “With SOPHiA DDM as a unifying analytical layer, we are enabling new discoveries, accelerating breakthroughs in precision oncology and, most importantly, enabling patients around the globe to benefit from these innovations by bringing leading technologies to all geographies quickly and at scale.”

View All Listings