Here's a closer look at why Houston should be pushing for a more rapid transition to EVs. Photo via Getty Images

As urban populations increase and more vehicles hit the roads across the United States, the quality of the air is compromised, directly impacting health, environment, and quality of life ― especially for children, minorities, and other vulnerable populations. A 2023 study by Site Selection Group placed Houston at the vanguard of this trend, projecting the metro area to grow nearly 10 percent by 2028, eclipsing 8 million residents.

According to Evolve Houston, a nonprofit working to accelerate EV adoption by bringing together local public and private organizations, residents, and government, the transportation sector emits 47 percent of all greenhouse gas emissions in the Houston area.

In this context, electric vehicles offer a practical solution to mitigate the challenges posed by tailpipe emissions. Their adoption in urban settings has the potential to significantly improve air quality and enhance public health. It’s no wonder the upcoming Houston Auto Show will feature a dedicated EV Pavilion.

Here's a closer look at why Houston should be pushing for a more rapid transition to EVs:

  1. Children’s development is at stake: Early childhood is a critical period for brain development. However, toxic air pollutants can significantly inhibit this growth during these formative years. The consequences include impairing children’s cognitive capabilities in reading and math, akin to missing an entire month of elementary school.
  2. EVs counteract historical racial inequalities: Beyond being an environmental challenge, air pollution is a glaring racial and social justice issue. Areas with fewer White residents suffer almost triple the nitrogen dioxide levels compared to predominantly White zones, as highlighted by the National Academy of Sciences. Historically marginalized communities, often near major traffic corridors, endure heightened pollution exposure. Transitioning to EVs can help address these deeply ingrained environmental inequities.
  3. The health benefits are monumental: A brighter future awaits if EVs become mainstream. According to the American Lung Association, if all new vehicles sold by 2035 are zero-emission, the U.S. could see up to 89,300 fewer premature deaths by 2050. Additionally, asthma attacks might decline by 2 million, saving 10.7 million workdays and resulting in an incredible $978 billion in public health savings.
  4. Global success stories prove the benefits: The impact of mass EV adoption has already been demonstrated outside the U.S. For instance, Norway has seen a notable reduction in dangerous particle emissions since 87 percent of its new car sales are now fully electric. Likewise, California’s adoption of electric vehicles correlated with a 3.2% decrease in asthma-related ER visits between 2013 and 2019.
  5. Cities have the power and means to lead the way: Many global cities are trailblazers in the electric transition. New York City, with more than 4,000 government-owned EVs, is a prime example. Moreover, by electrifying their take-home fleets, cities can set a precedent for their communities. Seeing neighbors drive electric vehicles daily serves as a powerful endorsement, motivating nearby residents to make the switch. Incentives like public charging stations, free parking for EVs, rebates for home charger installations, reimbursing for charging at home, and reduced tolls, further bolster this movement.

Houstonians stand at a pivotal juncture. The choices made today concerning transportation will profoundly influence the health and well-being of residents tomorrow. The shift to electric vehicles is more than just an eco-friendly choice; it's a commitment to a brighter, cleaner future. By leading with action and vision, cities can create a legacy that upcoming generations will appreciate and thrive in.

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Kate L. Harrison is the co-founder and head of marketing at MoveEV, an AI-backed EV transition company that helps organizations convert fleet and employee-owned gas vehicles to electric, and reimburse for charging at home.

This article originally ran on EnergyCapital.

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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.”