Khaliah Guillory, founder of Nap Bar, says she hopes to expand to 30 locations in three years. Photo courtesy Khaliah Guillory

Editor's note: These Houston innovators are making big strides in the fields of neurotechnology, neurodevelopmental diagnosis, and even improving the way we rest and recharge.

For our latest roundup of Innovators to Know, we meet a researcher who is working with teams in Houston and abroad to develop an innovative brain implant; a professor who has created an AI approach to diagnosis; and a local entrepreneur whose brand is poised for major expansion in the coming years.

Jacob Robinson, CEO of Motif Neurotech

Houston startup Motif Neurotech has been selected by the United Kingdom's Advanced Research + Invention Agency (ARIA) to participate in its inaugural Precision Neurotechnologies program. The program aims to develop advanced brain-interfacing technologies for cognitive and psychiatric conditions. Three Rice labs will collaborate with Motif Neurotech to develop Brain Mesh, which is a distributed network of minimally invasive implants that can stimulate neural circuits and stream neural data in real time. The project has been awarded approximately $5.9 million.

Motif Neurotech was spun out of the Rice lab of Jacob Robinson, a professor of electrical and computer engineering and bioengineering and CEO of Motif Neurotech.

Robinson will lead the system and network integration and encapsulation efforts for Mesh Points implants. According to Rice, these implants, about the size of a grain of rice, will track and modulate brain states and be embedded in the skull through relatively low-risk surgery. Learn more.

Dr. Ryan S. Dhindsa, Dhindsa Lab

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, and his team 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.

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 says. Learn more.

Khaliah Guillory, Founder of Nap Bar

From nap research to diversity and inclusion, this entrepreneur is making Houston workers more productiveFrom opening Nap Bar and consulting corporations on diversity and inclusion to serving the city as an LGBT adviser, Khaliah Guillory is focused on productivity. Courtesy of Khaliah Guillory

Khalia Guillory launched her white-glove, eco-friendly rest sanctuary business, Nap Bar, in Houston in 2019 to offer a unique rest experience with artificial intelligence integration for working professionals, entrepreneurs and travelers who needed a place to rest, recharge and rejuvenate.

Now she is ready to take it to the next level, with a pivot to VR and plans to expand to 30 locations in three years.

Guillory says she’s now looking to scale the business by partnering with like-minded investors with experience in the wellness space. She envisions locations at national and international airports, which she says offer ripe scenarios for patrons needing to recharge. Additionally, Guillory wants to build on her initial partnership with UT Health by going onsite to curate rest experiences for patients, caregivers, faculty, staff, nurses and doctors. Colleges also offer an opportunity for growth. Learn more.

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.

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Mark Cuban calls AI ‘the greater democratizer’ for young entrepreneurs

eyes on AI

Texas billionaire Mark Cuban—whose investment portfolio includes Houston-based Holliball, a startup that makes and sells large inflatable holiday ornaments—believes AI is leveling the playing field for budding low-income entrepreneurs.

At the recent Clover x Shark Tank Summit in Las Vegas, the Shark Tank alum called AI “the greater democratizer.”

Cuban told Axios that free and low-cost AI tools enable disadvantaged teenagers to compete with seasoned professionals.

“Right now, if you’re a 14- to 18-year-old and you’re in not-so-good circumstances, you have access to the best professors and the best consultants,” Cuban said. “It allows people who otherwise would not have access to any resources to have access to the best resources in real time. You can compete with anybody.”

While Cuban believes AI is “the great democratizer” for low-income young people, low-income workers still face hurdles in navigating the AI landscape, according to Public Works Partners, an urban planning and consulting firm. The firm says access to AI among low-income workers may be limited due to cost, insufficient digital literacy and infrastructure gaps.

“Without adequate resources and training, these workers may struggle to adapt to AI-driven workplaces or access the educational opportunities necessary to acquire new skills,” Public Works Partners said.

Texas 2036, a public policy organization focused on the state’s future, reported in January AI jobs in Texas are projected to grow 27 percent over the next decade. The number 2036 refers to the year when Texas will celebrate its bicentennial.

As for the current state of AI, Cuban said he doesn’t think the economy is witnessing an AI bubble comparable to the dot-com bubble, which lasted from 1998 to 2000.

“The difference is, the improvement in technology basically slowed to a trickle,” Cuban said of the dot-com era. “We’re nowhere near the improvement in technology slowing to a trickle in AI.”

CPRIT hires MD Anderson official as chief cancer prevention officer

new hire

The Austin-based Cancer Prevention and Research Institute of Texas, which provides funding for cancer research across the state, has hired Ruth Rechis as its chief prevention officer. She comes to CPRIT from Houston’s University of Texas MD Anderson Cancer Center, where she led the Cancer Prevention and Control Platform.

Before joining MD Anderson, Rechis was a member of the executive leadership team at the Livestrong Foundation, an Austin-based nonprofit that supports people affected by cancer.

“Ruth has widespread connections throughout the cancer prevention community, both in Texas and across the nation,” CPRIT CEO Kristen Doyle said in a news release. “She is a long-term passionate supporter of CPRIT, and she is very familiar with our process, programs, and commitment to transparency. Ruth is a terrific addition to the team here at CPRIT.”

Rechis said that by collaborating with researchers, policymakers, public health leaders and community partners, CPRIT “can continue to drive forward proven prevention strategies that improve health outcomes, lower long-term costs, and create healthier futures for all.”

At MD Anderson, Rechis and her team worked with more than 100 organizations in Texas to bolster cancer prevention initiatives at clinics and community-based organizations.

Rechis is a longtime survivor of Hodgkin lymphoma, a type of cancer that affects the lymph nodes, which are part of a person’s immune system.