ExxonMobil named two winners in its inaugural reverse pitch competition with BBL Ventures. Courtesy of OctoRD

ExxonMobil and BBL Ventures have teamed up to flip the script on pitch competitions. Rather than have startups pitch themselves, the two companies collaborated on a reverse pitch event where Exxon identifies a few problems and search for companies that can build a solution.

The purpose of the event, says Tim Westhoven, technology scouting and venturing at ExxonMobil at the Baytown refinery, was to get the company out of its day-to-day to spark new ideas and innovation.

"Typically, as an engineer, when we think about how we solve a problem, we start inside the organization," Westhoven says at the event, which took place on Wednesday, June 5, at Station Houston. "Then we think about what problems we want to solve. Sometimes, you don't even think at all about what's available on the outside. This reverse pitch is us thinking about the impact we want to have and what the outside can offer."

In his experience, once an organization goes outside itself for solutions, they can find more options to choose from.

"As we cycle through and innovate on these things and find more and more outside solutions to a particular problem, we find the impact scales very quickly," Westhoven says.

The reverse pitch contest, which launched in March, asked for solutions to two problems ExxonMobil employees actually encounter. The first is regarding the opening process equipment, with the goal being to "create a method to stop exposure to flow or residual material," according to the website. The company needs a device that works remotely, thus reducing the risk of exposure and contact with the material for technicians.

The other problem ExxonMobil is looking to solve has to do with reducing arc flash that result in exposure to electrical charges. The company has "identified the promotion of personal safety as a priority action in addressing and reducing negative events on campuses globally," the website says. All the specifics for these two issues are available online.

For both problems, ExxonMobil wants AI and automation involved — and that's deliberate to minimize human involvement, which can lead to error.

"Human error causes 40 to 70 percent of those issues," Westhoven says. "This is why we are looking to robotics and automation to solve this problem."

Seven companies pitched during the evening, and two — one for each solution — were named winners. Here's what solutions stood out to the judges, potentially took home $60,000, and are up for a pilot program at ExxonMobil.

Opening Process Equipment: OctoRD

Courtesy of OctoRD

OctoRD's OPE solution includes using materials that are already available on the market to create a safer solution to the current process. In fact, Kevin Larsen, founder of Phoenix, Arizona-based OctoRD, even brought an early prototype to his pitch to demonstrate for the judges.

"My whole background has been taking technology, applying it to problems, and getting it into production and real life," he says.

OctoRD's product would take 90 days to get to market. It would allow for employees to open and close the device from up to 15 feet away, and, should an emergency occur, would have an automatic shutting feature. While the current model satisfies the requirements for the category, Larsen's pitch even included future ways to advance the tool.

Reducing Arc Flash: CBS ArcSafe

Courtesy of CBS ArcSafe

CBS ArcSafe, based in Denton, Texas, has been around for a while and knows how to increase worker safety using technology, says Justin Gaull, marketing manager for CBS ArcSafe. The company has designed over 700 tools for safety purposes.

"Our business is the business of safety, and decreasing arc flash hazards is our priority," he says to the crowd at the pitch event.

The company's solution would take 10 weeks or less to get from discovery to production to market. The technology includes a switchgear box, the Elliot 230-PM, that syncs with a remote that allows workers to operate well out of the arc flash zone — even up to 300 feet away with the wireless option. There would also be a video camera able to capture a view of the gauges so the operator can see them in real time.

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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.”