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.

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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Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”

Houston biomanufacturing accelerator adds pilot plant to support scale-ups

new digs

Houston accelerator BioWell announced this month that it has taken over operations of Texas BioTechnology’s pilot plant in Richmond, Texas.

The 33,000-square-foot facility is one of the largest of its kind in the U.S. and features molecular biology labs, advanced automation, fermentation equipment and 16 dedicated benches for early-stage industrial biomanufacturing companies, according to a release from the company. It will allow BioWell to offer on-site education, workforce development, and lab training for students and workers.

BioWell and its founding company, First Bight Ventures, report that the facility should help address the industry's "scale-up bottleneck due to limited pilot- and demonstration-scale infrastructure" in the U.S.

"As a Houston-based accelerator dedicated exclusively to early-stage biomanufacturing startups, partnering with this facility was a natural and highly strategic decision for us. The site is fully operational and offers a strong platform to support biomanufacturing companies, industry leaders, and research institutions, providing critical expertise and infrastructure across a broad range of biotechnology production processes,” Veronica Breckenridge, founder of First Bight Ventures and BioWell, said in a news release.

First Bight Ventures shares that the partnership with the facility will also allow it to better support its portfolio companies and make them more attractive to future investors.

BioWell will host an open house and tours of the fermentation and lab spaces and an overview of current bioindustrial projects Wednesday, May 28, at 10:30 a.m. and 2 p.m. RSVPs are required.

BioWell was originally funded by a $700,000 U.S. Economic Development Administration’s Build to Scale grant and launched as a virtual accelerator for bioindustrial startups. Listen to an interview with Carlos Estrada, head of venture acceleration at BioWell, here.

Ultra-fast EV charging bays coming to Waffle House locations in Texas and beyond

power breakfast

Scattered, smothered and ... charged?

Starting next year, EV drivers can connect to ultra-fast charging stations at select Waffle House locations throughout Texas, courtesy of bp pulse.

The EV arm of British energy giant bp announced a strategic partnership with the all-day breakfast chain this week. The company aims to deploy a network of 400kW DC fast chargers and a mix of CCS and NACS connectors at Waffle House locations in Texas, Georgia, Florida, and other restaurants in the South.

Each Waffle House site will feature six ultra-fast EV charging bays, allowing drivers to "(enjoy) Waffle House’s 24/7 amenities," the announcement reads.

“Adding an iconic landmark like Waffle House to our growing portfolio of EV charging sites is such an exciting opportunity. As an integrated energy company, bp is committed to providing efficient solutions like ultra-fast charging to support our customers’ mobility needs," Sujay Sharma, CEO of bp pulse U.S., said in a news release. "We’re building a robust network of ultra-fast chargers across the country, and this is another example of third-party collaborations enabling access to charging co-located with convenient amenities for EV drivers.”

The news comes as bp pulse continues to grow its charging network in Texas.

The company debuted its new high-speed electric vehicle charging site, known as the Gigahub, at the bp America headquarters in Houston last year. In partnership with Hertz Electrifies Houston, it also previously announced plans to install a new EV fast-charging hub at Hobby Airport. In a recent partnership with Simon Malls, bp also shared plans to install EV charging Gigahubs at The Galleria and Katy Mills Mall.

bp has previously reported that it plans to invest $1 billion in EV charging infrastructure by 2030, with $500 million invested by the end of 2025.

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A version of this article originally appeared on EnergyCapitalHTX.com.