A Houston entrepreneur and investor is bullish on bringing flying motorcycles to existence. Courtesy of Aviator Cycles

When it comes to flying cars, Jeff Chimenti wants to give Elon Musk a run for his money — even though Musk, famously, has a lot of that.

But Chimenti is confident that his startup, Aviator Cycles, might be one of the first to get a vehicle off the ground and up into consumer markets. That's because he's not focusing on cars at all — the prototype, unveiled at a recent promotional event in the Woodlands, is a critical propulsion system for what Chimenti calls a personal air vehicle, or PAV.

The PAVs that Aviator Cycles plans to make are more like motorcycles or four-wheelers and intended for recreational use — but the high-tech system could change how other designers make flying vehicles.

"All of this is really happening," says Chimenti, a Houston-based investor and chief visionary officer and co-founder for the startup. "We're pushing it forward."

And, hopefully, upward. Aviator Cycles's first PAV doesn't fly yet, but smaller models have, and Chimenti expects to see a successful launch within one year. The company is making PAVs because there's a lot of red tape around making cars — traffic systems will need to be redrafted.

So for now, the unique propulsion system, which has come a long way since co-founder Jesse Marcel made his first patent on it before the company was even made, is being fastened to the Aerorunner GSX, a sports vehicle that will flutter from about four feet off the ground for safety.

Aviator Cycles plans to start taking reservations for these in the next six months. But Marcel says that his proprietary propulsion system will eventually make its way to other companies and vehicles; Audi, Porsche and Boeing, for example, have announced flying car projects in recent years.

All this innovation is part of a push toward alternative transportation, but it feels like a resurgent space race — just a little lower this time. Aviator Cycles, based in Spokane, Washington, isn't the only manufacturer. In 2018, California-based Hoversurf announced a hoverbike with a set of helicopter blades. It was supposed to ship out earlier this year for $150,000. Across the world — in Britain and Israel, for example — companies are developing bikes to compete in a brand-new flying vehicle market.

"Everybody that designs is great, but they're ultimately going to have to use our propulsion system," says Chimenti.

A new kind of 4x4 might fly, literally, in the Pacific Northwest, where the culture is all hiking and being outside. Texans, though, tend to have a better relationship with their air-conditioners than the great outdoors. Houston, especially, is mostly the urban sprawl of twisting highways — the same unregulatable stretch of concrete that Chimenti has avoided making vehicles for.

But Chimenti is optimistic about the potential for Space City. Last October, the Houston City Council gave $18.8 million to develop the Houston Spaceport, a kind of "mission control" for the future of commercial alternative transportation. Near Ellington Airport, the site has launch pads and lab space — but, maybe most excitingly for people like Chimenti, it has a tech incubator for developers to design and test their equipment.

Houston, then, has a historical stake in how we explore the space above our heads — and what's left for the regular person to explore is closer, below the stratosphere. If Houston has already been instrumental in getting all the way up there, then some light hovering will be nothing. When it comes to flying motocross, Chimenti says, Houston won't have a problem.

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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.”