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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Thirteen of the 42 teams participating in RBPC 2024 walked away with investment funding. Photo courteys of Rice University

Annual Houston student startup competition doles out over $1.5M in cash, investment prizes

winner, winner

For the 24th year, the Rice Alliance for Technology and Entrepreneurship hosted its Rice Business Plan Competition, facilitating over $1.5 million in investment and cash prizes to the top teams.

The 42 startups competing this year, which were announced earlier this year and included teams from around the world, participated in the three-day event that culminated in a reception on Saturday, April 6. The companies were divided into five categories: Energy, Cleantech and Sustainability; Hard Tech; Life Sciences and Healthcare Solutions; Digital Enterprise; Consumer Products and Services.

“We award the competitors $1 million in prizes, prizes that serve as foundational capital to launch their startup,” RBPC Director Catherine Santamaria says at the awards gala. “That’s a large number of prizes, but the biggest thing our startups leave with is a feeling of generosity and community from this room. This community is always ready and willing to help our founders and support our vision for the competition by investing time, money and resources in these student innovators.”

While all participating teams received $950 for being selected, several teams walked away with thousands in funding, cash, and in-kind prizes. Here's which companies won big.

MesaQuantum, Harvard University — $335,000​

MesaQuantum is developing accurate and precise chip-scale clocks. While not named a finalist, the company secured the most amount of funding across a few prizes:

  • $250,000 OWL Investment Prizes
  • $60,000 nCourage Courageous Women Entrepreneur Investment Prize
  • $25,000 Jacobs, Intuitive Machines and WRX Companies Rising Stars Space Technology and Commercial Aerospace Cash Prize

Protein Pints, Michigan State University — $251,000

The big winner of the night was Protein Pints, a high-protein, low-sugar, ice cream product from Michigan State University. Not only did the company win first place and the $150,000 GOOSE Capital Investment Grand Prize, as decided by the more than 350 judges, but it won a few other investment prizes, including:

  • $100,000 The Indus Entrepreneurs (TiE) Texas Angels Investment Prize — Protein Pints, Michigan State University
  • The Eagle Investors Prize
  • $1,000 Anbarci Family Company Showcase Prize
  • Mercury Elevator Pitch Competition Prize (Best in Consumer Products)
  • An invitation to Entrepreneur Magazine's elevator pitch show

Osphim, RWTH Aachen University —$201,000

Osphim, a data acquisition and monitoring platform from Germany, won these prizes despite not being named a finalist:

  • $200,000 Goose Capital Investment Prize
  • $1,000 Anbarci Family Company Showcase Prize
  • Mercury Elevator Pitch Competition Prize (Best in Digital)

Somnair, Johns Hopkins University — $200,000

Taking second place and a $100,000 from David Anderson, Jon Finger, Anderson Family Fund, Finger Interests, Greg Novak and Tracy Druce was Somnair is a novel non-invasive neurostimulation device for the treatment of obstructive sleep apnea. The company also won:

  • $100,000 Houston Angel Network Investment Prize
  • Mercury Elevator Pitch Competition Prize (Best in Life Science)
  • An invitation to Texas Medical Center's Accelerator Bootcamp
  • An invitation to Entrepreneur Magazine's elevator pitch show

Icorium Engineering Company, University of Kansas — $171,000

Icorium Engineering Company — a chemical engineering startup developing technologies to make sustainable, circular economies a reality for refrigerants and other complex chemical mixtures — won fifth place and a $5,000 prize sponsored by Norton Rose Fulbright, EY, Chevron Technology Ventures and Shell Ventures, as well as:

  • $100,000 OWL Investment Prizes
  • $40,000 nCourage Courageous Women Entrepreneur Investment Prize
  • $25,000 from Finger Interests, the Anderson Family Fund at the Greater Houston Community Foundation, Greg Novak and Tracy Druce
  • $1,000 Anbarci Family Company Showcase Prize
  • Mercury Elevator Pitch Competition Prize (Best in Energy, Sustainability)
  • An invitation to Entrepreneur Magazine's elevator pitch show

Informuta, Tulane University — $70,000

Informuta's proprietary technology leverages DNA sequencing to predict if bacteria will respond to different antibiotics or, for the very first time, develop future resistance thus causing treatment failure. The company won fourth place and a $5,000 prize sponsored by Norton Rose Fulbright, EY, Chevron Technology Ventures and Shell Ventures.

  • $40,000 Pearland EDC Spirit of Entrepreneurship Cash Prize
  • $25,000 from Finger Interests, the Anderson Family Fund at the Greater Houston Community Foundation, Greg Novak and Tracy Druce

EndoShunt Medical, Harvard University — $55,000

EndoShunt created a rapid, targeted blood flow control device to be use in emergency or trauma settings. The company won sixth place and the $5,000 prize, sponsored by Norton Rose Fulbright, EY, Chevron Technology Ventures and Shell Ventures, as well as:

  • $25,000 Southwest National Pediatric Device Consortium Pediatric Device Cash Prize
  • $25,000 from Finger Interests, the Anderson Family Fund at the Greater Houston Community Foundation, Greg Novak and Tracy Druce

Power2Polymers, RWTH Aachen University —$50,000

Tackling the challenge of forever chemicals, Power2Polymers is creating safe alternatives free of forever chemicals. The German company took third place and the $50,000 investment sponsored by Finger Interests, the Anderson Family Fund at the Greater Houston Community Foundation, Greg Novak and Tracy Druce. The company also won the Mercury Elevator Pitch Competition Prize (Best Overall).

D.Sole, Carnegie Mellon University — $30,000

D. Sole won the wild card ticket to the finals and took seventh place. The company is advancing the development of remote patient monitoring in podiatry with foot insoles designed for the early detection and monitoring of diabetic foot complications, such as ulcers and deformities. They also won $30,000 from Finger Interests, the Anderson Family Fund at the Greater Houston Community Foundation, Greg Novak and Tracy Druce.

Other prizes:

  • $25,000 New Climate Ventures Sustainable Investment Prize went to Oxylus Energy from Yale University
  • $25,000 Dream Big Ventures Latino Entrepreneur Investment Prize went to Dendritic Health AI from Northwestern University
  • $25,000 NOV Energy Technology Innovation Cash Prize went to LiQuidium from the University of Houston
  • $25,000 Urban Capital Network Diversity Investment Prize in Partnership with South Loop Venture Investment Prize went to TouchStone from University of California, Berkeley

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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