Emmanuel Urquieta, chief medical officer of TRISH, joins the Houston Innovators Podcast. Photo via LinkedIn

With the rise of commercial space flight, researchers have increased access to space health data that's key to the future of the industry as a whole. The organization that's conducting this valuable research is based right in Houston's Texas Medical Center.

TRISH, or the Translational Research Institute for Space Health, is an organization based out of Baylor College of Medicine and partnered with NASA's Human Spaceflight group. As commercial space companies have emerged, TRISH has strategically aligned with these businesses to bring back health data from the civilian trips.

“Most of the research that’s done at NASA and other government agencies usually takes decades to get something that could be implemented in space or terrestrially," Dr. Emmanuel Urquieta, chief medical officer for TRISH, says on the Houston Innovators Podcast. "What we do at TRISH is something different.

"On the one hand, we look at really new technologies that are just an idea, but could be really game changing," he continues. "Then on the other hand, we look at technologies already in the market that could be tweaked to work in spaceflight.”

Since 2021, TRISH has conducted its research on four missions — Inspiration4, the first all-civilian mission to space; Axiom Mission 1, the first all civilian mission to the International Space Station; MS20, which flew two Japanese civilians to ISS; and, most recently, Axiom Mission 2, which included the first all-private crew commanded by a woman and two members of the Kingdom of Saudi Arabia's national astronaut program.

“We really saw the value of implementing research in civilians because they are different from your traditional government astronaut,” Urquieta says. “In civilians, you see a more diverse population.”

Urquieta says TRISH's experiments on these missions all fall within a few pillars of space health, including space's effects on sensory motor skills, like balance and motion sickness, as well as mental health, environmental data from the vehicles, vital monitoring, and more.

“We’ve developed a capability to collect high-priority, high-value data from these space flight participants without having to train them for long periods of time — which is a challenge, because they don’t train for years like traditional astronauts,” he explains.

The plan, Urquieta says, is to be able to share TRISH's space health data in order to more safely send humans into space. He shares more about TRISH's program and the challenges the organization faces on the show. Listen to the interview below — or wherever you stream your podcasts — and subscribe for weekly episodes.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”