TMCx announces its next medical device cohort with 5 startups hailing from Houston

Health tech

The next TMCx cohort begins August 5. Courtesy of TMC

The Texas Medical Center's startup accelerator, TMCx, has added 19 companies from all around the world to join its medical device family.

The TMC Innovation Institute team narrowed down 140 applications to 40 for the second round of the process, which includes face-to-face interviews, according to a release. After those, 18 companies were selected to join the TMCx09 class, which focuses on medical devices. The last cohort, which specialized in digital health, concluded on June 6.

Out of the 18 companies, five are from Houston. Four other startups hail from other corners of the United States, while 10 international companies also made the cohort. The program commences on August 5, and will run for four months before concluding in a demo day event in November.

Here are the medical device startup companies joining the TMCx09 cohort.

See update at the bottom of this story.

Vascular devices

  • Neurescue (Copenhagen, Denmark) — Neurescue has developed a computer-aided aortic occlusion catheter to help save the lives of patients in the emergency care setting.
  • Venari Medical (Galway, Ireland) — Venari Medical is developing BioVena — a medical device that treats varicose veins and venous leg ulcers with a minimally invasive approach intended to reduce pain.
  • Obsidio (Solana Beach, California) — Obsidio is developing a universal gel embolic material to shrink lesions or to treat internal bleeds, aneurysms and vascular malformations.

Novel therapies

  • PATH EX (Houston) — PATH EX is developing an extracorporeal blood cleansing device designed to selectively remove pathogens, including multi-drug resistant bacteria, and endotoxins from circulating blood to diagnose and treat sepsis.
  • Innosphere (Hafia, Israel) — Innosphere is a medical device company developing brain stimulation solutions for treating cognitive disorders, with a focus on ADHD.

Rehab

  • AbiliTech (St. Paul, Minnesota) — AbiliTech is restoring independence to patients with upper limb neuromuscular conditions by offering a wearable assistive device that allows the user to perform independent activities of daily living.
  • Komodo OpenLab (Toronto, Ontario, Canada) — Komodo OpenLab has developed Tecla, an assistive device giving individuals with physical disabilities the ability to communicate, control, and connect with the world.

Surgery

  • CNX Medical (Houston) — CNX Medical is developing a transcutaneous neurostimulator that is placed in the ear and helps reduce inflammation after abdominal surgery, with a focus on post-operative ileus.
  • CorInnova (Houston) — CorInnova has developed a soft robotic non-blood contacting biventricular cardiac assist device for the treatment of heart failure that would eliminate the many adverse events associated with current technologies.
  • Ictero Medical (Houston) — Ictero Medical is developing a minimally invasive ablation solution to treat high-risk patients with gallstone disease and offer patients the benefits of surgery without the risk. The company was among the big winners at the Texas A&M New Ventures Competition.

Diagnostics

  • Artidis (Basel, Switzerland) — InArtidis has developed a nanomechanical biomarker technology using precise tissue measurement in combination with data analytics to personalize cancer diagnosis.
  • Inveox (Munich, Germany) — Inveox automates the pre-analytical process in cancer diagnosis to improve patient safety and lab efficiency.
  • Cambridge Respiratory Innovations Ltd. (Cambridge, United Kingdom) — CRiL has developed, N-Tidal, a device that analyzes CO2 end-tidal breathing to improve respiration monitoring.

Toward home health

  • Kegg (San Francisco) — Kegg is on a mission to simplify every woman's journey towards taking charge of her fertility with a user-friendly monitoring device.
  • TestCard (London) — TestCard is a flat pack urine test kit that functions in combination with a mobile phone application, turning a phone's camera into a clinical grade scanner.
  • Patch'd (New South Wales, Australia, and San Francisco) — Patch'd uses deep learning and wearable devices to predict the onset of sepsis in the at-home patient.

Transplant

  • Volumetric (Houston) — Volumetric's 3D bioprinting platform creates materials with living cells with applications in biomaterials, cancer research, and eventually human organ replacements. The company's technology started out of Rice University.
  • Tevosol (Edmonton, Alberta, Canada) — Tevasol is developing organ transplant transportation solutions. Their portable warm perfusion machines will help surgeons transplant more organs today and solve organ shortage tomorrow.

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Diagnostic Photonics withdrew from the program after the article published.

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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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