A Houston company has acquired a data analytics business. Photo via Getty Images

Houston-based KBR announced it has entered into a definitive agreement to acquire engineering, data analytics and digital integration company LinQuest Corp., which will add “digital integration capabilities for national security customers” according to a news release. The deal is valued at $737 million.

LinQuest is known for assisting in solving complex technical challenges for national security missions and has supported the U.S. Space Force, U.S. Air Force and other U.S. Department of Defense and intelligence agencies. The company does this through development and integrating advanced technology solutions across space, air dominance and connected battle space missions. Some missions include advanced AI and machine learning capabilities.

KBR is a leader in providing science, engineering and technology solutions to governments and companies worldwide.

“LinQuest is an innovator in national security, space and technology solutions. Their talented people deliver high-end, technically and digitally differentiated services that are complementary to KBR,” Stuart Bradie, KBR president and CEO said in a news release.

KBR’s support for strategic U.S. government clients in terms of the rapidly changing defense and national security sector expect to benefit from the fact that over 74 percent of LinQuest’s 1,500-plus employees already hold security clearances.

“LinQuest is a terrific company, and the revenue synergy opportunities are exciting,” Bradie adds. ”Our values are strongly aligned, and we are delighted to welcome this talented team to the KBR family.”

KBR signed a Space Act Agreement with NASA's Johnson Space Center to provide private astronaut training in NASA facilities. Photo via NASA.gov

Houston tech company gets green light from NASA to train commercial astronauts

space tech

For 60 years, Houston-based KBR has supported NASA's astronauts. Now, though a recently signed Space Act Agreement, KBR will also be providing its human spaceflight operation services to commercial companies.

"KBR has pioneered space travel for more than half a century. We will leverage our domain expertise to assist private astronauts with their human spaceflight activities," says Stuart Bradie, KBR President and CEO, in a news release.

The arrangement will include KBR training private astronauts on NASA property — it's the only agreement of its kind. KBR will train for space tasks like operating onboard of the International Space Station, routine operational tasks, health and performance checks, responding to emergencies, and more.

"This historic agreement is a testament to KBR's long standing partnership with NASA. We will continue to work together to propel NASA's mission to fuel a low-Earth orbit economy and advance the future of commercial space," Bradie continues in the release.

Earlier this week, Axiom Space, a Houston-based space tech startup, announced it was selected to design a commercial space flight habitat to be attached to the ISS. KBR is among Axiom's professional partners on the project.

Image---Axiom-modules-connected-to-ISSKBR is one of Axiom Space's partners on its new NASA-sanctioned ISS project. Photo via AxiomSpace.com

The Axiom project includes plans to replace the ISS with a commercially operated space station. The targeted launch date for the commercial destination module is set for late 2024.

Both the Axiom and KBR agreements with NASA are in line with a shift toward commercialization within the space industry. Last June, NASA released its plan to introduce marketing and commercial opportunities to the ISS — with financial expense being a main factory.

"The agency's ultimate goal in low-Earth orbit is to partner with industry to achieve a strong ecosystem in which NASA is one of many customers purchasing services and capabilities at lower cost," reads the release online.

In an interview with InnovationMap last July, NASA Technology Transfer Strategist Steven Gonzalez explains that opening up the space industry to commercial opportunities allows for NASA to focus on research. The government agency doesn't need to worry about a return on investment, like commercial entities have to.

"With the commercial market now, people keep talking about it being a competition, but in reality we need one another," Gonzalez says. "We have 60 years of history that they can stand on and they are doing things differently that we're learning from."

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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.”