A brother and sister team have created a digital tool to connect people on their outdoor adventures. Getty Images

Jeff Long had plenty of professional connections, but he struggled to find a network of people with similar outdoor hobbies.

"I'm a climber and I had no good way to meet other climbers," he says.

His sister, Sarah Long, had a similar problem when she was skiing at the Whistler Resort in British Columbia.

"I was alone and I was looking for people to ski with," she says. "So, I actually got on Tinder and made it a point to say, 'Not looking for a hookup, but if you're here and want to ski, so am I.'"

The siblings weren't alone in their dissatisfaction, and, within a few months of launching Axis Earth, the Houston-based app has over 1,500 users.

The app is part location finder, part social media channel and part professional networking tool. Designed for enthusiasts and professional athletes of individual sports (think: skiing, climbing, surfing, etc.), Axis Earth connects them with others in their area who share their interests, giving them running or climbing partners.

"We use information input by the users and geolocation software to find them the best connections," explained Jeff. "And our algorithm filters through what they've provided us about their interests and level of participation or competition so we can give them the people who seem most compatible."

The app launched on Sept. 15, but the siblings have put in nearly two years of development.

"The first year was really fleshing out the idea, and creating a business plan that allowed us to feel comfortable being able to bring it to market," says Sarah.

The pair divided their tasks for creating the app based on their own strengths. Sarah, who's based in the Washington D.C. area, handles the business development, logistics, and operations. She founded her marketing and communications services firm called Breck — named after the Colorado skiing resort, Breckenridge. Jeff, who Sarah calls "the face of Axis Earth" and is naturally more outgoing, dealt with marketing and brand awareness.

She and Jeff did multiple interviews with athletes about the kinds of things they wanted to see in a site like this. Software teams spent six months building the back-end mechanisms that would put those opinions into practice. Then came all the front-end design.

The result is an app that can appeal, the Longs feel, to users across multiple disciplines and at multiple skill levels. Users select the sport they're passionate about and choose their level of of participation from beginner, intermediate, or professional.

"And for those who select professional, we independently validate that," says Sarah.

The app is designed for those who enjoy being active. Jeff said that they wanted something that would use technology to get people away from technology.

"I want people to be able to use their phones to put down their phones," he says. "Whether you're using the app to find other people who want to do what you do, or if you're looking at a photo someone posted and it inspires you to get out there and be more active."

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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.”