InformAI has three AI-based products geared at improving health care. Photo via Getty Images

In Houston, we’re lucky to have top-tier doctors in the Texas Medical Center, ready to treat us with the newest technology. But what about our family members who have to rely on rural hospitals? Thanks to one Houston company, doctors in smaller community hospitals may soon have new tools at their disposal that could improve outcomes for patients around the world.

Since InnovationMap last caught up with Jim Havelka, CEO of InformAI, two years ago, that hope has come far closer to a reality. InformAI is a VC-backed digital health company. Part of JLABS @ TMC innovation facilities, the company uses artificial intelligence to develop both diagnostic tools and clinical outcome predictors. And two of the company’s products will undergo FDA regulatory testing this year.

SinusAI, which helps to detect sinus-related diseases in CT scans, received its CE Mark — the European equivalent of FDA approval — last year and is being sold across the Atlantic today, says Havelka. He adds that in the United States alone, there are roughly 700,000 sinus surgeries that the product is positioned to support.

Another product, RadOnc-AI, is designed to help doctors prescribe radiation dose plans for head and neck cancers.

“Ideally the perfect plan would be to provide radiation to the tumor and nothing around it,” says Havelka. “We’ve built a product, RadOnc-AI, which autogenerates the dose treatment plan based on medical images of that patient.”

It can be an hours-long process for doctors to figure out the path and dose of radiation themselves, but the new product “can build that initial pass in about five minutes,” Havelka says.

That in itself is an exciting development, but because this technology was developed using the expertise of some of the world’s top oncologists, “the first pass plan is in line with what [patients would] get at tier-one institutions,” explains Havelka. This creates “tremendous equity” among patients who can afford to travel to major facilities and those that can’t.

To that end, RadOnc-AI was recently awarded a $1.55 million grant from the Cancer Prevention and Research Institute of Texas, or CPRIT, a state agency that funds cancer research. The Radiological Society of North America announced late last year that InformAI was named an Aunt Minnie Best of Radiology Finalist.

“It’s quite prestigious for our company,” says Havelka. Other recent laurels include InformAI being named one of the 10 most promising companies by the Texas Life Science Forum in November.

And InformAI is only gaining steam. A third product is earlier in its stage of development. TransplantAI will optimize donor organ and patient recipient matches.

“A lot of organs are harvested and discarded,” Havelka says.

His AI product has been trained on a million donor transplants to help determine who is the best recipient for an organ. It even takes urgency into account, based on a patient’s expected mortality within 90 days. The product is currently a fully functional prototype and will soon move through its initial regulatory clearances.

The company — currently backed by three VC funds, including DEFTA Partners, Delight Ventures, and Joyance Partners — is planning to do another seed round in Q2 of 2023.

“We’ve been able to get recognized for digital health products that can be taken to market globally,” says Havelka.

But what he says he’s most excited about is the social impact of his products. With more money raised, InformAI will be able to speed up development of additional products, including expanding the cancers that the company will be targeting. And with that, more and more patients will one day be treated with the highest level of care.

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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.