Cadence is investing in Girlstart, an Texas-based nonprofit empowering women in STEM. Photo by Amber Heckler

This week, the worlds of the Lone Star State's tech scene, women in STEM, and Formula 1 collided.

At a private event on Wednesday, October 19, hosted by computational software company Cadence Design Systems, Senior VP of Global HR Tina Jones spoke highly about the pride she felt about Cadence’s company culture and their goals for leaving the world better than they found it in regards to sustainability and giving back to the community. Last week, Cadence was ranked 19th in the 2022 World’s Best Workplaces list.

One of the ways Cadence is giving back to the community is through their Giving Foundation. The foundation is investing in organizations like Girlstart, an Austin-based nonprofit whose mission is to empower young girls’ interest in STEM through educational programs and camps.

“We are determined to make a difference in access to STEM education for those who have been traditionally underrepresented,” Jones said.

Jones announced Cadence would make a $25,000 donation to Girlstart to help further the organization’s mission and to invest in the future women they want to hire. The organization has locations all around Texas, including Dallas, Houston, San Antonio and the Rio Grande Valley, as well as locations in other states like California, Illinois, Washington, and Massachusetts.

“We want to start at Kindergarten and take them through 12th grade and give girls confidence in STEM,” Jones said, “Girlstart is doing that here in Austin, and we’re super proud to be associated with them.”

Girlstart Executive Director Shane Woods was present to accept the donation. During her speech, Woods discussed the importance of broadening young women’s understanding of what STEM is and nurturing a positive mentality so they can stay inspired in their careers.

Part of Woods’ work is to make sure girls know about the different fields that “need STEM eyes” such as biomedical engineering, environmental sustainability, and social justice.

The rest of the event centered around Cadence’s partnership with F1 team McLaren Racing, with three primary team members in attendance – CEO Zak Brown, Team Principal Andreas Seidl, and driver Daniel Ricciardo.

Ricciardo has never been shy about his love for the capital of Texas. He said he was naive about the city when F1 first arrived in 2012, but now it’s one of his favorite places. Circuit of the Americas is one of his favorite challenging tracks, noting the “high speed snake section” at turns three through eight that remind him of similar turns Maggotts and Becketts at Silverstone.

“A circuit that really pushes the car to the limits is fun,” he said, “That’s what I love about Austin.”

McLaren’s partnership with Cadence is significant for more than their expertise with computational fluid dynamics. Both companies share similar goals in regards to environmental sustainability and equality. In 2021, McLaren became the first F1 team to release an annual sustainability report, showing they are on track to achieve carbon net zero by 2040. In that same year, they announced Emma Gilmour would be the team’s first female racing driver, racing in Extreme E alongside Tanner Foust.

When asked about what they predict the next 10 years of Formula 1 will look like, Brown and Ricciardo agreed they hoped to see F1 still thriving and at the pinnacle of motorsport, while also giving recognition to the rise of other motorsports. Brown said he would like to see the introduction of rotational races in other countries.

“We have a lot of countries that want races. We’re at a maximum schedule of 24…I would love to see us in 30 countries, but 24 times a year. You might land on 18 permanent races and then have 10 that rotate every two years or something like that,” Brown said. “I think there’s room to grow the sport globally."

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This article originally ran on CultureMap.

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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.”