According to a new report, the existing energy infrastructure of Texas makes it a great spot to lead the development of the hydrogen economy. Photo via Getty Images

All signs point to Texas leading the development of a hydrogen market, says one new report out of Rice University.

The Baker Institute for Public Policy released a new report this week about the hydrogen economy and the role Texas will play in it. According to the experts, Texas’ legacy energy industry — as well as its geology — makes it an ideal hub for hydrogen as an energy source. Ken Medlock, senior director of the Baker Institute’s Center for Energy Studies, and Shih Yu (Elsie) Hung, research manager at the center, wrote the report.

“Texas is in a very advantageous position to play a leading role in driving hydrogen market growth, but the evolution of policy and market structure will dictate whether or not this comes to pass,” write the co-authors.

Medlock and Hung make the case for hydrogen's impact on the energy transition in the report.

“It can be produced in a number of different ways — including steam-methane reforming, electrolysis and pyrolysis — so it can leverage a variety of comparative advantages across regions,” they write.

The report explains that — with the state's existing and robust oil and gas infrastructure — Texas is the best spot to affordably develop hydrogen while managing economic challenges. Plus, Texas's coastal geology is an advantageous spot for storage and transport.

One factor to be determined, write the authors, is whether or not the policy will support the industry's growth.

“(Hydrogen’s) expansion as an energy carrier beyond its traditional uses in industrial applications will depend heavily on significant investment in infrastructure and well-designed market structures with appropriate regulatory architectures,” they write. “A lack of either will risk coordination failure along hydrogen supply chains and, thus, threaten to derail any momentum that may currently be building.”

GTI Energy and The Cynthia and George Mitchell Foundation funded this report.

Last summer, the Center for Houston's Future reported how Houston-based assets can be leveraged to lead a global clean hydrogen innovation. The Houston region already produces and consumes a third of the nation’s hydrogen, according to the report, and has more than 50 percent of the country’s dedicated hydrogen pipelines. These assets can be utilized to accelerate a transition to clean hydrogen, and the report lays out how.

"Using this roadmap as a guide and with Houston’s energy sector at the lead, we are ready to create a new clean hydrogen economy that will help fight climate change as it creates jobs and economic growth,” says Center for Houston’s Future CEO Brett Perlman. “We are more than ready, able and willing to take on these goals, as our record of overwhelming success in energy innovation and new market development shows.”

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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.”