The Texas Heart Institute recently received its largest charitable donation in its history. Photo courtesy of THI

Leadership at The Texas Heart Institute has two major things to celebrate. First, it just received a $32 million donation from a patient — the largest charitable donation in its history.

Shortly after that news came out, the institute announced a new partnership with the University of Houston Tilman J. Fertitta Family College of Medicine that allows those UH medical students to join a clinical rotation at The Texas Heart Institute. The alliance means valuable insights and experience with both inpatient and outpatient cardiology for UH's future doctors.

"Students will have the chance to develop their skills in the diagnosis and management of cardiovascular conditions and will be taught by outstanding clinical educators,” said Dr. Joseph G. Rogers, president and CEO of The Texas Heart Institute and heart failure specialist at The Texas Heart Institute Center for Cardiovascular Care, in a press release announcing the news.

A game-changing gift that's all heart

As for that mammoth gift, the $32 million donation comes from Dr. Frederick M. Weissman, a neurologist from New York who was a patient at the Institute 40 years ago. Fittingly, huis gift will be used to support cardiovascular research.

This isn't Weissman's first gift to the institution. That came following his experience there in the mid-1980s, when he was treated by world-renowned cardiac surgeon Dr. Denton A. Cooley.

In November of 1986, Weissman wrote a check for $5,000; another followed the next month, with a note that read, in part, “my conscience compels me to make another contribution to The Texas Heart Institute. I don’t think I could ever repay you for what you and your staff have done for me.” Weissman and Cooley would go on to be friends throughout their lives.

When Dr. Weissman died in 2005, he left The Texas Heart Institute $500,000. The organization recently received the residual of his estate — valued at more than $32 million.

“Those of us who were fortunate enough to work with and be trained by Dr. Cooley know he was much more than just an incredibly gifted surgeon," renowned transplant surgeon and Co-director of THI’s Center for Preclinical Surgical & Interventional Research, Dr. O.H. “Bud” Frazier, said in press materials announcing the donation. "He established lifelong relationships with his patients and encouraged all of us to do the same. Dr. Weissman’s extraordinary generosity reflects the impact Dr. Cooley still has on the Institute he founded.”

A big leap for THI and the Coogs

Looking ahead, this game-changing gift and new affiliation with UH promises big things for students, doctors, researchers, and patients.

Medical students in rotation at The Texas Heart Institute will be exposed to progressive clinical care, allowing them to gain a deep understanding of the etiology, pathophysiology and management of cardiovascular disease from prevention to the most contemporary treatments available today. This level of hands-on experience is invaluable for future physicians, and will certainly contribute to the advancement of cardiovascular medicine.

"We are honored to launch this new affiliation with Fertitta Family College of Medicine,” said Dr. Jorge Escobar, director of undergraduate medical education at The Texas Heart Institute. "With new advances in diagnostic imaging, bedside testing, and clinical trials coupled with the complex care we provide to our patients, the rotation will be an impactful experience for the students."

Pumping with growth

Meanwhile, THI recently established The Texas Heart Institute Research Innovation Fund to propel the next generation of cardiovascular research by sparking discovery, supporting innovation, and recognizing excellence in high-risk, high-reward scientific exploration.

To that end, $5 million of the Weissman bequest has been designated to match philanthropic commitments of $10,000 or greater made to THI’s Research Innovation Fund and its priority initiatives in 2023, allowing donors the opportunity to double the impact of their research investment.

Founded in 1962, THI performed the first successful heart transplant and total artificial heart implant in the United States. It has gone on to become one of the world's leading institutions for cardiovascular treatment and research.

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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.”