Today starts classes in San Jacinto College's new center. Photo via sanjac.edu

San Jacinto College is gearing up to open the Center for Petrochemical, Energy, and Technology at its main campus in Pasadena — a $60 million project designed to bolster the Houston area's petrochemical workforce.

On August 21, the community college hosted media tours of the Center for Petrochemical, Energy, and Technology (CPET). The center will welcome more than 2,800 students August 26 and host a grand opening September 18. The college broke ground on the 151,000-square-foot center in September 2017.

At CPET, future and current petrochemical workers will learn about process operations, troubleshooting, nondestructive testing, instrumentation, and myriad other aspects of the industry. In all, CPET will offer 75 courses. The center's highlights include an 8,000-square-foot glycol distillation unit, 35 labs, and 19 classrooms. San Jacinto College bills the center as the largest petrochemical training site in the Gulf Coast region.

"Four years ago, a team came together from San Jacinto College and the East Harris County Manufacturers Association to put together a long-term plan for workforce development," says Jim Griffin, associate vice chancellor at San Jacinto College and senior vice president of petrochemical, energy, and technology. "The Center for Petrochemical, Energy, and Technology was part of that plan and is now a reality."

Griffin says the curriculum, classrooms, and labs were "designed and influenced" by the petrochemical industry.

Among CPET's more than 20 partners are:

  • Emerson, which donated more than $1.3 million worth of services and equipment.
  • INEOS Olefins & Polymers USA, which contributed $250,000 in cash.
  • Dow Chemical, which donated $250,000 in cash.

All three of those employers — and many others in the region — depend on schools like San Jacinto College to contribute to the pool of highly trained workers in the petrochemical sector.

"We expect to see a higher-than-normal level of retirements over the next five plus years; rebuilding our workforce is critical at this time," Jeff Garry, Dow Chemical's operations director in the Houston area, said when his company's CPET donation was announced. "The need to train and adequately staff our assets will continue to be a pressing concern. As the labor market becomes more competitive for talent, we understand the importance to attract and retain highly skilled and educated workers."

With four campuses in Harris County, San Jacinto College promotes itself as a training hub for the country's largest petrochemical manufacturing complex, featuring 130 plants and employing about 100,000 people. CPET will serve as the centerpiece of that hub. Overall, the community college says it "plays a vital role in helping the region maintain its status as the 'Energy Capital of the World.'"

PetrochemWorks.com — a petrochemical career initiative whose backers include JPMorgan Chase & Co., the Council for Adult and Experiential Learning, and the East Harris County Manufacturing Association — says the local petrochemical industry will need 19,000 more skilled workers annually over the next three to five years.

"Chronic shortages of skilled labor are increasing costs and schedules and resulting in declining productivity, lower quality, more accidents, and missed objectives," according to Petrochemical Update, a news website.

Although robots are on the rise in many industries, Mark Mills, a senior fellow at the Manhattan Institute who's an energy and technology expert, believes that as petrochemical companies increasingly turn to automation, productivity will go up, ultimately creating more jobs — not fewer.

"In large part," Mills writes, "it's desperation, not an infatuation with tech or cost savings, that drives employers to deploy technologies that amplify the capabilities of the employees they have and can find. It is a common misconception to think that automation is always cheaper than using labor."

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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.”