New funds, new classes, and new opportunities for mentorship — these are this week's Houston innovators to know. Courtesy photos

While last week's innovators to know were all starting new jobs, these three for this week are starting new endeavors — from multi-million-dollar funds to education programs. Here are this week's three innovators to know.

Barbara Burger, president of Chevron Technology Ventures

Courtesy of CTV

Houston-based Chevron Technology Ventures announced a new $90 million fund to focus scalable tech companies that could improve and advance Chevron's oil and gas business.

Leading Fund VII is CTV president, Barbara Burger. According to the release, the fund will target early- to mid-stage companies and limited partnership funds.

"CTV serves as an excellent source within Chevron for new business models and novel technologies that can deliver value to the enterprise through their integration," Burger says in the release. "We are using venture capital as a conduit for early access to innovation and to build a pipeline of innovation for Chevron." Read the full story here.

Anthony Ambler, dean of the College of Technology at the University of Houston

Courtesy of UH

Undergraduate students at the University of Houston now have the option to major or minor in Technology Leadership and Innovation Management or minor in Applied Innovation, thanks, in part, to the College of Technology dean Anthony P. Ambler. All three options begin in the fall semester of this year, and the college is also interested in adding a master's and a PhD. program in Innovation Management or a post-graduate certificate program.

"We are about giving people the right tools to innovate," says Ambler in a release. "How do you get more people to the position where they are able to innovate?" Read the full story here.

Myrtle Jones, senior vice president at Halliburton

Courtesy of Myrtle Jones

Despite climbing through the ranks within the energy industry, Myrtle Jones says mentorship wasn't a big priority when she was in the early part of her career.

"I started working in the energy business in the early '80s, and women were new to the industry," Jones says. "We were somewhat getting ourselves established in the business world – there was no such thing as someone saying, 'We're going to get you linked up with mentors,' so you had to find role models."

Now, Jones has teamed up with Austin-based tech company, Bumble Bizz, that helps connect industry professionals and foster networking and mentoring opportunities. As of 2019, users have the option to see only women on the app, too, in order to foster their professional network of women. Read the full story here.

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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.”