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.

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Houston healthtech startup raises $30M to scale surgical healing gel

fresh funding

Houston-based healthtech startup TYBR Health has raised a $30 million Series A round to scale its B3 GEL System, which helps protect tendons from scarring after surgery.

The round was led by Minneapolis-based Vensana Capital and Cleveland-based Mutual Capital Partners, with participation from Denver-based Neovate Capital Partners and existing investors, according to a news release from the company.

TYBR Health said it plans to use the funding to broaden the B3 GEL System's clinical applications, expand commercialization and conduct studies to evaluate its ability to protect tissue and improve healing outcomes.

"Surgeons are exceptionally good at the structural repair, but the biology that follows is what determines how it heals. That part of the equation has gone largely unaddressed ... There's a shift underway across surgical specialties, from focusing almost entirely on the mechanical repair to also weighing the biological conditions that repair needs to succeed," Tim Keane, co-founder and CEO of TYBR Health, said in the news release. "This financing lets us reach more surgeons and generate the clinical evidence to move that shift forward."

As part of the financing round, Greg Banker of Vensana Capital and Liz Todia Zambory of Mutual Capital Partners will join the TYBR board, alongside independent director Aaron Smith.

"TYBR Health is addressing a gap surgeons have lived with for a long time, with a product that fits the way they already work," Zambory, principal at Mutual Capital Partners, added in the release. "We're excited to co-lead this round and support the company's growth."

TYBR was founded in 2020 and originated from the TMCi’s Biodesign fellowship and participated in the TMC's Accelerator for HealthTech. Its B3 GEL System is a flowable extracellular matrix hydrogel designed to protect tendons, ligaments, muscles, and the surrounding soft tissue while they heal from orthopedic surgery. It received FDA 510(k) clearance last June and launched an Australian clinical trial in the fall.

The B3 GEL System has been used in hand, wrist, shoulder, foot and ankle, and sports medicine procedures since it launched, according to the company, and was first used in the clinical setting earlier this year by Dr. Tammam Hanna with Texas Tech University Health Sciences Center.

Houston space companies win NASA funding to build Mars exploration robots

mission to mars

Two Houston-area spacetech companies have landed a portion of a $17 million award from NASA to develop robots for exploring the surface of Mars, the agency announced this month.

Houston-based Inuitive Machines and Webster, Texas-based MEI Technologies, which does business as Aegis Aerospace, were among the seven companies selected to receive the funding from NASA's Science Transport and Robotic Innovation for Deployment and Exploration (STRIDE) initiative.

According to the release from NASA, the companies are tasked with creating "innovative mobility systems" that would allow future Mars missions to access more challenging terrain and difficult-to-reach regions of the planet, and to travel farther distances. NASA estimated that the work will begin this fall.

NASA solicited proposals for participants in the STRIDE initiative in January. The seven named companies are the first selected to participate in the program.

The additional five companies to receive STRIDE funding include:

"STRIDE demonstrates NASA’s commitment to strong public-private partnerships, allowing the agency to explore new approaches for Mars surface exploration while identifying key capability gaps and development needs for commercial systems that could operate and traverse realistic Martian environments," NASA shared in the announcement.

Last month, Intuitive Machines was awarded $148.3 million to deliver its Nova-C lander to the moon. The funding was part of $600 million the space agency awarded to three companies as part of its Moon Base Program and was Intuitive Machines' sixth task order under NASA's Commercial Lunar Payload Services (CLPS) program. Astrobotic was also one of the companies to land funding for the Moon Base program, as well as Austin-based Firefly Aerospace.

Around the same time, Firefly Aerospace was awarded a $13 million subcontract from NASA’s Jet Propulsion Laboratory to develop technology for NASA’s SkyFall mission to Mars. The mission aims to deploy three Mars helicopters to "perform science and demonstrate airborne subsurface mapping and resource prospecting on the planet." Read more here.