12 health tech startups named to Houston accelerator's next bootcamp

onboarding

Meet the latest global health tech startups to get an invite to Houston from TMC Innovation. Photo via tmc.edu

Twelve promising health tech startups have been selected for the annual bootcamp at the Texas Medical Center.

TMC's Accelerator for HealthTech selected 12 companies from around the world and across specialties for the opportunity. Following the bootcamp, TMC will move forward a selection of startups to join its accelerator.

"Houston, a thriving hub for innovation, is rapidly becoming the destination of choice for healthtech companies," reads a statement from TMC. "With the Texas Medical Center at its heart, the city offers unparalleled resources, cutting-edge research facilities, and a collaborative spirit that fosters growth. This environment not only attracts startups but also provides them with the necessary tools to navigate the complex landscape of healthcare commercialization."

Through the bootcamp, the participants will engage with advisors and industry experts, refine their business models, prepare for market entry, and have opportunities for collaboration with the TMC's member organizations.

The selected bootcamp companies, according to TMC, include:

  • Alyf, founded in Newport Beach, California, has developed a personalized cardiac care system that brings patients and providers together with real-time, AI-driven insights, enabling them to monitor, track, and improve cardiac health outcomes collaboratively.
  • Seoul, South Korea-based Deepmetrics leverages artificial intelligence to provide ICU smart care services that optimize medical device settings, such as mechanical ventilators, to reduce mortality and shorten the length of stay for critically ill patients worldwide.
  • Equity Quotient, from New York City, is a healthcare intelligence platform that automates compliance and provides actionable insights by aggregating public, private, and first-party data, using proprietary analytics to help leaders address disparities, improve outcomes, and lower care costs.
  • Also from New York City, Ethermed's AI-powered solution streamlines prior authorizations, eliminating up to 90 percent of auths and 70 percent of the labor involved. Ethermed requires no workflow changes, is fully auditable, and offers aligned incentives from a mission-driven, human-focused company.
  • Fibricheck, based in Hasselt, Belgium, transforms ordinary smartphones into regulated digital heart rhythm monitors, offering unparalleled access to cardiovascular diagnostics for patients and streamlined workflows for physicians.
  • Austin-based NearWave has developed a non-invasive, AI-powered handheld imaging device that can predict breast cancer therapy response within seven days.
  • Pragmaclin, founded in Newfoundland, Canada, developed a cutting-edge PRIMS (Parkinson’s Remote Interactive Management System) that leverages depth cameras and machine learning to monitor and assess Parkinson’s Disease symptoms, offering healthcare professionals remote and in-clinic insights to enhance treatment decisions.
  • Somnair, a Baltimore, Maryland, company, is developing a non-invasive neurostimulation oral appliance for treating obstructive sleep apnea, offering a sleek, retainer-sized device that provides an effective alternative to CPAP or invasive surgery for millions of patients.
  • Vancouver, Canada-headquartered Total Flow Medical is developing solutions to enhance the quality of care and life for patients requiring the use of a heart-lung machine during surgery or life support.
  • Tympulse, hailing from Dublin, Ireland, is commercializing TympanoColl, an innovative and disruptive solution for eardrum (Tympanic Membrane) repair in an outpatient setting through the ear canal.
  • Perth, Australia-based Vital Trace is developing a continuous lactate monitor for real-time, accurate detection of fetal distress.
  • New York City's WorkUp is a healthcare-specific talent pipeline management platform that connects students with tailored resources for their clinical career journey, providing personalized support as their needs evolve.
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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.

New accelerator joins the Ion and more Houston innovation news to know

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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.”

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