Researchers at Baylor College of Medicine’s Human Genome Sequencing Center have trained an AI assistant to explain genetic test results to patients. Photo via Getty Images

Artificial intelligence in the health care setting has a lot of potential, and one Houston institution is looking into one particular use.

Researchers at Baylor College of Medicine’s Human Genome Sequencing Center have trained an AI assistant to explain genetic test results to patients. According to findings published in the Journal of the American Medical Informatics Association (JAMIA), the team has developed generative AI to understand and interpret genetic tests. They have also tested its accuracy against Open AI’s ChatGPT 3.5.

“We created a chatbot that can provide guidance on general pharmacogenomic testing, dosage implications, and the side effects of therapeutics, and address patient concerns,” explains first author Mullai Murugan in a press release. Murugan is director of software engineering and programming at the Human Genome Sequencing Center. “We see this tool as a superpowered assistant that can increase accessibility and help both physicians and patients answer questions about genetic test results.”

The initial chatbot training specifically targeted pharmacogenomic testing for statins, meaning a patient’s potential response to cholesterol-lowering drugs, as dictated by genetics.

Murugan explains why they decided to create their own chatbot in the key publication on statin pharmacogenomics was published in May 2022, four months after the training cutoff date for ChatGPT 3.5 in January 2022. Alternatively, her team’s technology uses Retrieval Augmented Generation (RAG) and was trained on the most recent guidelines.

How did the two AI assistants compare? Four experts on cardiology and pharmacogenomics rated both chatbots based on accuracy, relevancy, risk management, and language clarity, among other factors. Though the AI scored similarly on language clarity, Baylor’s chatbot scored 85 percent in accuracy and 81 percent in relevancy compared to ChatGPT’s 58 percent in accuracy and 62 percent in relevancy when asked questions from healthcare providers.

“We are working to fine-tune the chatbot to better respond to certain questions, and we want to get feedback from real patients,” Murugan says. “Based on this study, it is very clear that there is a lot of potential here.” Nonetheless, Murugan emphasized that there is much work still to be done before the program is ready for clinical applications. That includes training the chatbot to explain results in the language used by genetic counselors. Funds from the NIH’s All of Us Research Program helped to make the research possible.

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

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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

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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.