Ryan Schwartz realized online dating was easier than finding a therapist. He created a tool to change that. Courtesy of Mental Health Match

Nearly five years ago, Ryan Schwartz sat in a coffee shop in crisis mode. His mother had just died suddenly and he was struggling to find an appropriate therapist. Across the table, his friend sat making a profile on a dating app. Quickly, her endeavor was complete and she was ready to swipe right, but Schwartz was still on the hunt for mental help.

"In two minutes she could have a profile matching her with a partner potentially for the rest of her life and I was sitting there for hours and hours trying to find a therapist," he recalls. "I thought it should be easier to find a therapist than a life partner. That's what sent me on my journey."

That journey reached a watershed last month when Schwartz launched Mental Health Match, a website designed to pair patients with their ideal therapist. The idea gained traction as Schwartz described it to people he met and found that many said they had experienced similar difficulties in finding the right practitioner for their needs.

Schwartz began the process of developing the service by interviewing about 30 people who had recently found a therapist about how they did it and what was helpful. He also talked to a group who had just started with a new therapist about whether it was a match and why. He did the same for therapists about how they found clients.

With that information, Schwartz began making mock-ups of search criteria for the website. An offshore company designed and programed the site for the entrepreneur, who was previously a consultant for nonprofits.

The result of Schwartz's thorough research is an exhaustive list of criteria, but the matching process only takes about five minutes. In fact, it feels a bit like taking a BuzzFeed quiz, answering questions about yourself. It starts with basics like age and gender (even with trans and non-binary are options), then expands into categories of why you're choosing therapy. They include looking for medication management or getting a specific diagnosis like ADD, depression, or an autism spectrum disorder.

But the search gets even more refined. Potential patients can choose what they want to talk about, such as questions of identity like sexuality, race, or physical ability. The "How I Feel" section runs the gamut of emotions from angry or afraid to withdrawn or worried. Those who check "suicidal" will be met with a message on how to call the National Suicide Prevention Lifeline. The criteria even drills down into specific life events, including natural disaster, career change, and abortion.

Those who want a therapist who does art therapy or trauma informed yoga can check boxes in those categories. Therapy seekers can find help based on sexual orientation, race, or religion, or get even more minute and request someone who's vegetarian or from a blended family.

"We want to make sure we have therapists for everyone," Schwartz says.

Perhaps most importantly, it's paramount to Schwartz to match users with an affordable therapist. The website allows users to set a limit of what they're willing to pay per session and fill out insurance information to get an ideal fit.

After completing the form, future clients are presented with a top-five list of potential therapists. The practitioners fill out information about themselves that allows users to get to know them as a person for a better idea of whether they'll be a match. The therapist profile even lists their current availability and showcases photos of where they practice.

"We're trying to show a bit of the humanity of the therapists and what it might be like to be in a room together," Schwartz explains.

Currently, about 70 therapists are signed on for a free trial — there will eventually be a small fee to be listed — on the site. The company, based in Sugar Land, employs one person full-time besides Schwartz and the founder says he's focusing on staying in Houston for now.

"Houston is an amazing city, but we're a stressed city between the traffic, the heat, the storms," he says. "It's a service that is really helpful for Houstonians."

And by design, it will always be free to anyone who needs a little assistance in finding the help they need.

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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.”