x marks the spot

TMCx receives national award for unique startup accelerator program

TMCx was nationally recognized by Seed Accelerator Rankings Project. Courtesy of TMCx

The Texas Medical Center has once again received national acclaim — this time, for its innovation.

Seed Accelerator Rankings Project selected TMCx for a "Silver" distinction in its 2018 awards. SARP evaluated accelerators' success and selected 25 honorees in four categories — Platinum Plus, Platinum, Gold, and Silver. The distinction is aimed to help startups navigate accelerators and find the ones of quality.

SARP objectively measures the impact of these accelerator programs, says Erik Halvorsen, director of the TMC Innovation Institute. There simply isn't non-biased information about accelerators out there. Most startups are forced to rely on marketing materials from the programs.

"One of the things I say often is, 'If you see one accelerator, you've seen one accelerator,' meaning they are all different," Halvorsen says. "There are so many out there, and it can be confusing for startups who think they are all the same."

Now in its fifth year, SARP collected sensitive information, such as fundraising and valuations, and evaluated each accelerator to select the top 25.

The TMCx accelerator program has two cohorts a year, alternating between digital health and medical device focuses. Currently, TMCx has 23 medical device companies participating in the accelerator. Halvorsen says what sets TMCx apart is its focus on medicine, but also the fact that the accelerator doesn't take equity of its companies. Other programs require anywhere from 3 to 7 percent equity in the company in exchange for participation.

"I think this is a major reason we've been able to attract companies that are more advanced — still startups, just further down the path. Those are the kinds of companies who would never consider an accelerator program that asks them to give up equity."

This is the first year TMCx has made it on to the SARP listing, but Halvorsen says it won't be the last.

"I love the fact that there's still a couple levels above where we're ranked, so we definitely have something to shoot for as we grow and improve our program," he says. "For us, we're kind of competing with ourselves to be as good as we possibly can be."

TMCx's fall cohort participants showcase their work in a final presentation called Demo Day, which is on November 14.

InformAI can use its data technology to help doctors with preventative care and diagnoses. Courtesy of InformAI

A Houston-based startup has a new technology that allows hospitals and medical establishments better access to its own data – which translates into more effective diagnoses and preventative care.

InformAI — founded by Jim Havelka, CEO, in 2017 — is introducing the technology to the Texas Medical Center. Havelka saw a need within the medical industry for this type of service.

"There were several things missing," says Havelka. "One was access to very large data sets, because it wasn't really until the last five or 10 years that digitalization of data, especially in the healthcare vertical became more widespread and available in a format that's usable. The second convergence was the technology, the ability to process very large data sets."

InformAI currently offers four unique solutions using artificial intelligence and deep learning algorithms: Paranasal Sinus Classifier; Brain Cancer Classifier; Patient Outcome Predictors; and Surgical Risk Predictors.

According to the website, both medical image classifiers assist physicians in detecting the presence of medical conditions. The Paranasal Sinus Classifier detects and distinguishes medical conditions prevalent in the paranasal sinuses. The classifier assists physicians by evaluating sinus medical conditions at the point of care, speeding up radiologist workflow by flagging medical conditions for further review, and providing a triage of pending sinus patient study reviews. The Brain Cancer Classifier focuses on several tumor types and has the potential to provide radiologists and surgeons with additional insights to inform their diagnoses and treatment plans.

In addition to the classifier solutions, the predictors are also key to patient care, as InformAI patient outcome predictors evaluate the risk of adverse outcomes from a surgical procedure.

"Our data set has 275,000 surgical procedures that we can use to look for patterns, and then use that to understand how a patient may react to going through that surgical procedure and that's a very valuable input to surgeons," Havelka tells InnovationMap. Patient outcome risks include mortality, stroke, prolonged ventilation, infection, re-operation, and prolonged hospitalization.

"The innovation is the ability to use artificial intelligence to augment the capabilities of the physician and flag diagnostics for them to consider," says Havelka. "For example, one of our image classifiers that reads three-dimensional CT scans has the equivalent of thirty lifetimes of an expert EMT built into it. It would take thirty lifetimes of an EMT to see that same number of scans, or number of patients, in their lifetime, so these tools are quite valuable to learn patterns that these expert physicians just wouldn't have seen in their lifetime."

InformAI currently has 10 full-time employees and works with radiologists-in-residence in building solutions and conducting research. The startup partners with the Texas Medical Center, Nvidia, Amazon, and Microsoft.

"They're quite interested in what we've built because it's really cutting edge technology that we're doing," Havelka tells InnovationMap.

Havelka and his team also work with some of the largest physician groups and imaging companies in the country to build products. "At the end of the day our core competency is the ability to take data, medical images or patient data, and put it into a usable format to assist physicians in making better treatment decisions for patients," says Havelka. "We can flag and detect patterns, disease states, and risk profiles that can improve the decision making of the physicians for the patient.

InformAI has plans to fundraise this year, with a goal of raising $5 million to $6 million in a round.