Houston's density is possibly its biggest challenge when it comes to developing its innovation ecosystem, says a Houston expert. Getty Images

From the front porch of Houston, Texas, we solve some of humanity's hardest challenges. We're the ones who put humans on the Moon and rovers on Mars, go subsea in search of hydrocarbons, and are discovering a cure for cancer. We solve complex challenges, because of a characteristic seemingly embedded deep within our DNA — we are all explorers of the unknown.

Today, a new challenge is rallying our attention, inspiring us to push the boundaries yet again. And, that's the hard challenge of population density. Houston is fourth in population in the country, and yet 89th in the number of people per unit of area.

Why is this an issue, one might ask? Houston, like many other cities around the world, is racing to become a hub for innovation, a critical catalyst fueling the next generation of growth and economic prosperity. And, density is a key component of innovation — it brings divergent mindsets together to look at challenges from multiple perspectives and creates an environment that brings big bold ideas to life.

However, the nature of our geography has created silos that are not easily broken down and separates us by industries, communities, interests, mindsets, and access to transportation, among other things.

But, let's not underestimate our true spirit — and our ability to explore the unexpected, push the boundaries and tackle the challenges the world throws at us.

If I learned anything from living here my entire life, Houston has grit, imagination, and motivation and knows what it means to be a trailblazer. Houston is the most diverse city in the United States. Our culinary landscape is constantly pushing the boundaries of creativity and imagination. Local graffiti and modern art installations are reshaping the visual identity of our community. Our sports and performing arts "rockstars" consistently deliver real-time experiential immersion.

We need to recognize and embrace how these colors of Houston connect us all regardless of our geographic silos and push innovation forward. Said another way, we have all the colors; we just need to converge and paint the canvas together.

True to our nature, some of our Houstonian friends have begun chipping away at this challenge already. Central Houston is attracting world-renowned incubators and accelerators like MassChallenge and Gener8tor — and this scene alone is ever-expanding. The Cannon, The Ion, Impact Hub, Launchpad, Headquarters, and other players are creating environments that bring people together and meet the needs of an ever-evolving workforce through experiential community. We even have a dedicated publication for all things innovation — Innovation Map — sharing resources across our vast city and ensuring no great story is left untold.

Our rich diversity means we have access to human beings from a multitude of backgrounds, which in itself is a force to be reckoned with. By interacting with a variety of human beings, we become more empathetic, understanding, and celebratory of new ideas. This is fundamental to continuous innovation — how we interact and approach challenges, engage in new experiences, and become an inspirational leader in life and work. So, break down the silos and access the diversity of thinking that's already outside the door.

At the same time, the challenge of density must be tackled not only physically but also digitally. By converging the physical and digital ecosystem through a neural network, we can intelligently connect the activity with centralized access to start-ups, corporations, nonprofits, free-lancers, incubators, accelerators, maker-spaces, academia, local influencers, and public partners. Digitally bridging all of us can make one of the largest and most spread-out cities in the U.S. feel like a small Texas town with big ideas and an ever-stronger dimension of inclusivity.

So, join the movement, strike up a conversation, grab your metaphorical spray paint and converge with all the vibrant colors of Houston as we energize the future of humanity, navigate to Mars and back safely, and annihilate the existence of cancer.

As Steve Jobs said: "The people who are crazy enough to think that they can change the world, are the ones who do." Are we ready?

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Brad Rossacci is creative director at Accenture's Innovation Hub in Houston.

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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.”