Regina Vatterott is thinking outside the traditional pillbox. Courtesy of Regina Vatterott

One day in college on her way to lunch with some friends, Regina Vatterott fainted on the sidewalk. It wasn't anything serious, but she had a few vitamin deficiencies and hadn't eaten in a while. After that, she started taking her daily supplements more seriously.

She tried using the traditional pillbox, but it would take her forever to organize. And she hated how her friends would call it, in a loving, playful way, her "old people pillbox."

She joined forces with a few like-minded individuals at her school to create a health and wellness accessory, rather than a medical device. They bought craft supplies and hand-glued LED lights to the first prototype of what would become EllieGrid, a smart pillbox that syncs with an app on your phone so that you can easily program your medicinal schedule and receive alerts of when to take what.


EllieGrid is a smart pillbox that syncs with your phone.Courtesy of Regina Vatterott

Vatterott, who was interning at a company that did social media marketing for independent pharmacies nationwide, saw an underserved market of adults who have a need for a product like this. EllieGrid targets the Baby Boomer age and younger, usually between ages 35 and 55.

Now, EllieGrid is growing from its initial presale phase to setting a system in place where Houstonians can find EllieGrid in stores or online.

InnovationMap: You and your team were only college students when you started. How did you get funding?

Regina Vatterott: We started pitching business plan competitions all over the country — even as far as Barcelona. We raised money — and some of it wasn't even money, but resources, like access to 3D printers or free office space. It was an amazing tool for us, and it helped validate us and helped us perfect our business plan. We ended up raising like $200,000 just in business plan competitions.

After that, we knew we had to prove it in market. Last year, we ran a crowdfunding campaign on IndieGoGo. Our goal was to raise $40,000, and we raised around $167,000. In January of this year, we shipped all the products that were preordered on IndieGoGo to 37 different countries.

IM: What's been the biggest challenge?

RV: The very beginning, the challenge was affording our legal fees — it's not something you want to skimp on, but was incredibly expensive. After that, it was simply manufacturing. It's never easy. It's always going to cost three times as much and take three times as long as you expect. With our plastics, we use a process called injection molding, and if the temperature is off, the plastics will dry in a different way and the pieces won't fit together. It's an obnoxious challenge that we're still facing today.

IM: What's next for you or your company?

RV: Right now, we are making that transition from pre-selling products to just regular sales. It's easier said than done because we are making sure that supply chain is efficient and on time. We are finishing up a batch of 1,000 units to work with that we'll just sell on our website. Once we have information on how we can sell these units, we want to work with distributors, so we are working on creating those relationships now.

IM: How has being headquartered in Houston been?

RV: This is a very affordable place and has a lot of resources for startups. I will say our one struggle is there's not a lot of funding for hardware startups — especially for consumers — like ours. That's more in California or New York.

IM: Thinking more long term, what do you have in mind for EllieGrid and your team?

RV: For EllieGrid, we want to implement artificial intelligence. We want to be able to take the data of how the user is interacting with the device and be able to predict when people will forget to take their meds to prevent any issues with medication.

For us, Ellie is just the start. We want to develop more health and wellness accessories that are traditionally known to be medical devices. One example we give is how eyeglasses used to be medical devices, and now glasses are a fashion accessory. We want to do more and more with medical devices because we think that people are always people before they are patients.

IM: What's the worst piece of advice you've received?

RV: In the beginning when we'd pitch this idea to doctors, they would tell us we were wasting our time because patients don't care what a product looks like as long as it works. I don't really get that anymore, because we're proving that wrong now.

The product is available online on the EllieGrid website, and the app is available for download. Courtesy of Regina Vatterott

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Portions of this interview have been edited.

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CultureMap Emails are Awesome

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.

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.”