Houston is the ninth worst U.S. metro for ozone pollution, but the future isn't foggy. Electric vehicles can improve air quality by 50 percent. Getty Images

Let's clear the air about Houston's air pollution: A recent report from the American Lung Association ranks Houston the ninth worst U.S. metro area for ozone pollution and the 17th worst in the broad category of long-term particle pollution.

Yet the future might not be so cloudy for Houston's atmosphere.

A newly published study in the journal Atmospheric Environment indicates that replacing at least 35 percent of Houston's gas- and diesel-powered cars and trucks with electric vehicles by 2040 could improve air quality by 50 percent. And if electric vehicles replaced 75 percent of traditional cars and trucks by 2040, air quality could improve by 75 percent, according to the study.

This conversion to electric vehicles would enable residents of the Houston area to "breathe easier, live longer, and enjoy a better economy," the researchers say.

"The population in 2040 Houston will see a huge increase, but we can apply new technology to reduce emissions, improve air quality, and think about health," says one of the researchers, Shuai Pan, a postdoctoral associate in civil and environmental engineering at Cornell University.

Pan earned a doctoral degree in atmospheric science from the University of Houston in 2017.

Kevin Douglass, president of the Houston Electric Auto Association, tells InnovationMap that the study does a good job of emphasizing "the alarming situation that Houston is in with reference to its air quality and how electrification of the transportation system is a … way to improve the bad-air-quality situation."

The nonprofit Houston Electric Auto Association comprises EV owners, hobbyists, educators, and enthusiasts who promote the benefits of these vehicles.

Douglass says he's confident about the progression of the EV evolution in Houston.

"It only took a decade to go from horse-drawn carriage to automobile in the U.S.," he says. "One and a half decades from now, in 2035, at least half of the cars on the road will be electric. Thirty years from now, the vast majority of vehicles will be electric and autonomous."

Houston — which the nonprofit Smart Energy Consumer Collaborative praises as one of the 10 friendliest U.S. cities for EVs — already is on the road toward enhancing air quality by putting more electric vehicles (EVs) on the road. In fact, a 2018 report from the Environment Texas Research and Policy Center predicts the number of EVs in Houston will rise to 65,000 by 2030.

An estimated 9,500 EVs were being driven by Houston motorists in 2018, according to a presentation given in May by Michael Conklin, external engagement manager at Houston-based utility CenterPoint Energy. And by 2028, that number could reach 110,000, the presentation says.

"Electric cars aren't the future — they're already here, and they work," Douglass said in 2018. "As more people learn about them, they will enjoy owning and driving them."

Among Houston's highest-profile EV champions is Mayor Sylvester Turner, who's leading the charge to shift the city-owned fleet away from traditional vehicles and toward hybrids and EVs.

"Transportation is responsible for 48 percent of Houston's greenhouse gas emissions — the highest per capita of all U.S. cities — and something we must address to move our city forward," Turner, co-chair of the Climate Mayors organization, said in 2018.
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CultureMap Emails are Awesome

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.”