Only time will tell, but this expert believes the Inflation Reduction Act of 2022 will be a boon to energy tech startups in Texas. Photo via Getty Images

The recently passed Inflation Reduction Act of 2022 includes $369 billion in investment in climate and energy policies, the largest investment in United States history to address climate change. The IRA could be a boon to Texas startups involved in clean energy, clean manufacturing and clean innovation.

Government policy and funding are critical to supporting the research and development for new technologies, which solve complex challenges and require significant upfront and long-term commitments of investment. Early government investment gives private investors more incentive to invest in the later commercialization and scaling of these businesses, and has a multiplier effect in accelerating the development, commercialization, and deployment of new technologies in the time needed in the market to capitalize on energy business opportunities and achieve climate goals.

The IRA’s biggest impact on climate tech businesses is through tax credits and direct investment. The IRA’s expanded tax credits will make it easier to fund and build projects, help reduce cost of construction, and help make renewable energy projects more competitive, encourage more funding and building of new projects, and bring new jobs and economic development. The IRA’s direct investments allow for companies developing new technologies to obtain grants and loans that help them develop their solutions while not diluting their investors, helping them build more value in their businesses and making them more attractive for later investment.

Texas is well positioned to be an energy transition and clean energy leader and beneficiary of the IRA. The state is home to major energy companies, and their technical expertise, know-how and experience in energy, and energy technology is unparalleled. There is huge momentum in innovation in energy transition and energy tech, and there is great research coming out of university and corporate R&D programs. For example, Texas is home to more than 20 energy-focused research and development centers and dozens of energy tech companies. And Texas is already the largest producer of wind power in the U.S.

Texas startups across industries were already attracting massive investment before the IRA became law. According to Pitchbook and the National Venture Capital Association, Texas startups overall raised a record-high $10.55 billion in venture capital in 2021, an increase of 123 percent from 2020’s $4.73 billion.

Early-stage investment in climate tech hit a record $53.7 billion in 2021. While the totals this year aren’t likely to reach 2021 levels, climate tech investors have said they aren’t seeing the size of pullbacks and slowdowns in other sectors. Despite the VC slowdown this year, clean tech and climate tech have remained attractive investments. This includes Texas. For example, the Rice Alliance Clean Energy Accelerator reported in August that 17 of its early- to mid-stage startups have already raised more than $54.5 million this year. Also in August, geothermal startup Fervo Energy, based in Houston, raised $138 million in new VC funding. Earlier in February, Houston’s Zeta Energy, which has developed a battery for the electric vehicle and energy storage markets, closed a $23 million financing round. We expect continued funding in this space.

Large corporates in Texas are building external innovation programs such as venture arms and accelerators. For instance, Houston’s Halliburton Company developed Halliburton Labs, an accelerator that has backed a number of startups in the carbon capture, clean hydrogen, and solar energy tech developers. Big energy companies are also joining Texas-based accelerator hubs such as The Ion in Houston. The Ion’s founding partners include Aramco Americas, Chevron Technology Ventures, and ExxonMobil.

It will require long term efforts to achieve results in climate tech and clean energy projects, but as the benefits of the IRA materialize, more startups in Texas will have the ability to obtain more long-term financial support and resources from all of the sources – government, universities, and research organizations, venture investors and corporations — that are required to develop solutions to the energy and climate challenges and capitalize on the business opportunities of today and tomorrow. Startups are creating transformative innovations that are key to the United States being a leader in clean energy and fighting climate change. And there’s no better place to do that than in Texas.

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Michael Torosian is a partner in the corporate practice in the San Francisco office of Baker Botts. He is outside general counsel to emerging companies and their investors and advisors at all stages.

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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.”