The Texas Heart Institute — located in the Texas Medical Center — has upgraded its tech to reach more patients. Photo via texasheart.org

The Texas Heart Institute launched a new translation technology on its websites this month that will allow speakers of more than 100 languages to learn from and interact with its digital resources.

Known as a neural machine translation network, the artificial intelligence service has been deployed on THI's texasheart.org and texasheartmedical.org to translate heart-health information in several Spanish dialects, Vietnamese, Chinese, Arabic, and numerous other languages.

Now, when users visit these sites they are presented with a drop down menu of a long list of languages to choose from. Once they make their selection, the website is shown in their native or chosen language in a form that's nearly identical to its presentation in English. These thousands of shifts were achieved through machine translation that predicts the likelihood of a sequence of words in a sentence.

“The Texas Heart Institute remains committed to serving as a trusted source of health information and patient empowerment by simplifying access to our extensive library of knowledge,” Dr. Joseph G. Rogers, CEO and President of The Texas Heart Institute, said in a statement.

Neural machine translations, or NMTs, are considered to be more accurate that statistical translations when translating to and from the English language. Rather than running a set of rules to translate a set of words and phrases in a sentence, known as machine or statistical translations, NMT uses a series of nodes to look at the language as a whole and understand the context to create a more fluent translation.

NMT translations have accuracy scores of 8.3 out of 10, and are expected to improve with more adoption, THI shared from a 2021 study by the UCLA Medical Center. Human translations have accuracy scores of 8.5 out of 10.

According to the institute, the shift aligns with THI's mission of providing access to heart-health information, regardless of language barriers. In 2011, the institute launched heart-health topics and articles in Spanish on its sites. Those pages are among the most used on the side today, the institute says, and people from about 235 countries, territories, and dependencies visit THI's website every year.

Last year, Innovation Map spoke with THI's then-newly appointed manager of innovation partnerships Allison Post, whose mission is to support THI's in-house inventors while making sure it is bringing in the best new external technologies out there to its patients. Click here to learn more or listen to the full interview on the Houston Innovators Podcast.

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$5B Austin medical center, anchored by MD Anderson, to break ground this fall

moving forward

Construction on the $1 billion first phase of the AI-native University of Texas Dell Medical Center in Austin—which will feature a hospital operated by Houston’s UT MD Anderson Cancer Center—is set to start this fall.

The UT System Board of Regents approved funding for first-phase construction on Aug. 12.

The medical center—now expected to cost $5 billion, up from the initial $2.9 billion estimate—will span about 2.5 million square feet. It will include 300 to 500 patient beds, outpatient facilities, an emergency department and specialized care for cancer patients.

MD Anderson will bring its world-renowned oncology programs to the center’s integrated health care model, Dr. Claudia Lucchinetti, senior vice president of medical affairs at UT Austin and dean of the university’s Dell Medical School, tells Health Leaders.

Earlier this year, Austin tech billionaire Michael Dell and his wife, Susan, pledged $750 million for development of the medical center. The medical center, scheduled for completion in December 2030, will be a cornerstone of the new 300-acre UT Dell Campus for Advanced Research, a medical education and research hub.

“Through this new campus and medical center, Texas will lead America in health care innovation,” Gov. Greg Abbott said when the research campus was announced in April. “The next generation of medical breakthroughs will take place in Central Texas.”

The medical center will fold AI tools and other technology into the infrastructure, rather than having them added after it’s built. Among other capabilities, the technology will monitor real-time medical data, automate data entry, and help health care professionals quickly predict and identify risks to patients, according to Health Leaders.

“We are not just building a new medical center,” Lucchinetti says. “We are building a fundamentally new model of health. It’s not just a new facility. It’s not just a new collaboration. It is a convergence of capabilities that rarely come together at the same time.”

Rice lands $15M U.S. Army award to launch next-gen wireless research center

defense funding

The U.S. Army Research Office has awarded Rice University $15 million to establish a new center for next-generation sensing and communications.

The five-year research center—dubbed the Center for Large Aperture Secure Sensing, Imaging and Communications (CLASSIC)—will unite researchers from universities and national laboratories to develop advanced antenna technologies for future wireless systems. Edward Knightly, the Sheafor-Lindsay Professor of Electrical and Computer Engineering at Rice, will lead the center that “combines expertise in wireless networking, antennas, radar, artificial intelligence, circuits and physics to address growing demands on wireless systems,” according to Rice.

“The challenges we’re tackling require advances that span physics, hardware, communications and computing," Knightly said in a news release. “By combining those strengths in a single center, we can accelerate the development and demonstration of technologies that would not be possible through individual efforts alone.”

Joining Knightly will be Ashutosh Sabharwal of Rice, Sensen Li of the University of Texas at Austin, Hou-Tong Chen of Los Alamos National Laboratory, Danijela Cabric of UCLA, Josep M. Jornet and Tommaso Melodia of Northeastern University, Daniel M. Mittleman of Brown University, and Willie Padilla of Duke University.

Industry partners include Booz Allen Hamilton, Intel, Keysight, Lockheed Martin, MITRE, Northrop Grumman, Qualcomm and Raytheon.

CLASSIC researchers will investigate how large-scale antenna arrays (ELSAAs) can expand the capabilities of wireless systems where technology is limited.

ELSAAs use thousands of coordinated antenna elements to direct radio waves. Researchers aim to develop ways to use the technology to help maintain steady communication when signals are blocked or disrupted and to detect and generate detailed images of concealed objects.

Along with ELSAAs, the center will work to develop sensing techniques for threat detection, study wireless jamming and build resilient high-speed wireless networks. Researchers will ultimately validate the technology in labs and via drone-based field trials.

CLASSIC will also work on developing an AI-driven modeling framework that will simulate complex electromagnetic environments in real time.

“This award demonstrates Rice’s leadership in tackling complex national research challenges through collaboration across disciplines and institutions,” David Sholl, executive vice president for research at Rice, added in the release.