Practice makes perfect

Houston company is using 3D printing to enhance surgeon training and prevent avoidable patient deaths

Lazarus 3D is using 3D printing to help advance surgeons' skills. Photo via laz3d.com

It is no surprise that, when a company offered life-like bladders for medical training, Houston urologists jumped at the opportunity — many had to learn the surgery by operating on bell peppers.

This sort of produce practice is the traditional method for teaching surgeons. Before a doctor ever makes an incision on a living person, they'll practice surgery on food — slicing bananas open and sewing grapes back together.

But for a pair of Baylor College of Medicine-educated doctors, that didn't seem like sufficient prep for working with living bodies; fruit surgery was not fruitful enough. In 2014, Drs. Jacques Zaneveld and Smriti Agrawal Zaneveld founded Lazarus3D to build a better training model — and layer by layer, they created models of abs and ribs and even hearts with a 3D printer.

"We adapted pre-existing 3D printing technology in a novel proprietary way that allows us to, overnight, build soft, silicone or hydrogel models of human anatomy," says Jacques, who serves as CEO. "They can be treated just like real tissue."

This isn't 3D printing's foray in medicine. In 1999, doctors in North Carolina implanted the first 3D-printed bladder in human bodies — they covered the synthetic organs in the patients' cells so that their bodies accepted them. Since, researchers have continued to find uses for the technology in the field, printing other organs and making prosthetic limbs.

But the Lazarus3D founders felt like medical training was lagging behind. Even cadavers, which medical schools also use to prepare doctors for surgery, don't represent a healthy human body or the diseased state of a hospital patient, said Smriti, who works as the research director.

The pair turned their kitchen into a printing lab and set to work, creating life-like models of human organs. They didn't have to go far after their first successes to find potential buyers — they just went to Starbucks. In a coffeeshop in the heart of the Medical Center, they talked loudly about their product until the neighborhood doctors and researchers took interest and gathered around.

Over the next few years, the Lazarus3D team pooled resources and contacts and, a summer after opening, they moved out of their kitchen and into an office. They now are a Capital Factory portfolio company and have partnerships with Texas Children's, Baylor College of Medicine, MD Anderson Cancer Center, and others, providing organs for specialized training — and the more they expand, the more they're able to prepare doctors for invasive, sometimes dangerous procedures.

"There are over 400,000 deaths annually in the U.S. due to medical error," Smriti says. "Not all of them are due to surgical mistakes, but all of these, nonetheless, were preventable."

The models can also be used for explaining to patients in a visual way what surgeries they're about to receive — the black and grey smears on an MRI scan might not actually help a patient understand much about what a surgeon is going to do to their body. In 2018, Lazarus3D won a contest with NASA on the potential for 3D printing organs in space, so that major surgeries might be performed there. And the printed organs can also be used by researchers to safely develop new surgery methods.

This year, the company grew to seven people and aims to expand even more to add to its sales and manufacturing teams. Having been funded mostly by friends and family investors, Lazarus3D plans enter its first equity round this year. They're raising $6 million.

"Every generation in medicine, people look back at what was done before and think 'Man, that was barbaric,'" Jacques said. "Fifty years from now, we're going to look back and think, 'Man, back then we used to just give someone a patient to learn how to do physical skills on? That seems crazy.'"

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Building Houston

 
 

Camilo Mejia, CEO and founder of Houston-based Enovate Upstream, has big plans for increasing efficiency across the oil and gas sector. Photo courtesy of Enovate

A Houston energy tech company announced a new artificial intelligence platform that aims to digitize the oil and gas sector to provide the best efficiency and return on investment at every stage of the supply chain cycle — from drilling and production to completion.

Enovate Upstream's exponential growth, says Camilo Mejia, CEO and founder of the company, has already led to two new strategic partnerships in the works with European and Latin American companies.

"We see a better future in the oil and gas industry," Mejia shares in an interview with InnovationMap. "Our team worked in various roles in O&G, and we don't think the industry will end up as some people may think. The future will be different and digitized, we are just here to facilitate that transition to give back to the industry that gave us a lot."

The company's proprietary cloud-based ADA AI digital ecosystem is challenging the assumptions of the industry by using new technology powered artificial intelligence to provide historical data with AI to give real-time production forecasting. Thanks to the cloud, users can access the information anywhere in the world.

The new platform combines three models — digital drilling, digital completions, and digital production — that provide precise data that can be customized to the client's needs, integrating into an existing platform easily for a real-time view of their return on investment and carbon emission output.

Mejia shares more about his company's growth and what goals Enovate Upstream is setting to continue the course of digitization in the oil and gas industry in the Q&A with InnovationMap.

InnovationMap: What inspired Enovate Upstream’s focus on artificial intelligence technology for the upstream value chain?

Camilo Mejia: For the past five or six years, there's been talk of digitalization, and the value of data. The next level is not the value of the data, it's about the automation, how you can improve operations, and how you can help customers to make better decisions. Every single technology that we are developing here is about the return of investment.

Our AI concept is about the physics behind the data. We are accelerating digital adoption by properly showing the tangible value of the technology by speaking the same language and showing the value from the oil and gas perspective, which was one of the challenges other AI technology faced to break into the industry before. Our artificial intelligence component upgrades this technology to optimize the industry while integrating it with this digital ecosystem all in one place. The digital ecosystem we're building covers the entire value chain.

One of the challenges the industry faces is around capital allocation — how we can help customers to properly allocate capital into projects, which is a fundamental way we forecast new projects. Another challenge is the size of the organization that ranges from corporations to small businesses. They have many opportunities to improve cost but that varies across companies.

We are overcoming that challenge in order to develop a technology that can show the inefficiencies between the sizes. The third challenge is the adoption of digital technology. There are two different ways of deploying artificial intelligence. One is data-driven analysis, data-driven models, or data trading — this is the foundation.

IM: What fundamental changes do you think your cloud-based ADA technology can provide across every stage of the value chain?

CM: The biggest change we have in the platform is revising the workflow based on the production size. We use the data the customers already have, to develop a model that changes the way we forecast production in the industry. Before you deploy the capital and execute the project, you are going to have a better idea of the maximum potential profitability, so you can make better decisions at any stage from that point.

One of the inspirations for this was Tesla. The automotive industry was failing to provide a self-driving vehicle because it was using mathematical approaches, but Tesla overcame that challenge using data of millions of drivers to drive and park the cars efficiently, optimizing the process.

We are doing exactly the same, which is applying mathematical equations only for drilling forecasts, production forecasts, and using the data from the wells to see how the projects are behaving. We also integrate the modules so every single module is communicating with each other at every stage to correlate back to a production forecast to set your targets or operation based on that expected return of investment.

Our concept is about the return of investment, in order to develop the ROI concept, you got to plan the events right and the varying size production, that becomes the second component. The third component is about optimization of operations, which is about automation to improve operations and therefore decision-making. We are developing technology that has a very modern interface to automate operations in a more intuitive way so customers can be independent in the process and make the best decisions.

IM: At the moment, there is a need for virtual connections. How does your technology allow certain hands-on tasks to be handled remotely?

CM: In many ways, we have a big project in the Gulf of Mexico. We place technologies that we are using in today's market and deploy a platform that customers can use independently. We can also automate operations to the cloud by just deploying, trimming the data out of the field straight to the cloud so that people in the field can actually use the AI component to optimize operations. We don't require face to face interaction using the cloud environment.

Since the coronavirus these digital components have been on demand, we have grown about 500 percent from the end of Q1 and into the middle of Q2. We are experiencing an acceleration in the adoption of digital technology, but the ability to deploy the technology through the cloud has been instrumental in gaining more traction in the market. As a matter of fact, just as an indicator, we have been hiring people since the start of the coronavirus.

IM: Enovate Upstream started a year ago since then you’ve experienced exponential growth. What are a couple of goals that the company will achieve by the end of the year?

CM: Our strategy is focused on the next level for the company, which is securing funding round with investors in London. We are also aiming to facilitate the deployment of our technology globally. We are focusing on the United States and Latin America, but we hope to expand our funding round to Europe and the Middle East.

Our other goal lies with our partnerships, we are working through a distribution channel, through larger service companies that are facilitating the commercialization of the technology. The focus is on enabling these companies to properly support the customers by doing more technology integration and increasing the value creation.

The next goal is obviously to sustain the company, even though we have been growing, there is a lot of uncertainty in the market, and we are focusing on building the culture of the company, which is challenging in a virtual space.

IM: How has Enovate Upstream navigated an unstable market amid your rapid growth?

CM: That's a good question. I think the lesson is that you can always end up in a different direction. Coronavirus is having a big impact on many businesses, often negatively, but for us, it was instrumental to realize the full potential of the technology we were developing.

We saw that the activity was going from operations to the financial sector with companies selling assets to sustain their business. There were a lot of customers trying to decide what kind of wells they need to continue producing, so that was a market that we didn't capture before.

We grew the technology in that direction by starting a second company called Energy Partners. We created a joint venture with some producers in South Texas to make better decisions in asset acquisition. It was instrumental for us to realize the full potential on the finance side, as opposed to operations where the initial focus was.

We have assets in South Texas now and from a technology standpoint, it's the ideal way to test our analytic technology. We use our technology to properly evaluate the return of investment to make decisions about acquiring assets to optimize the operations and increase production. We have the opportunity to prove the technology with our investments, so we can actually build trust with customers. We are 100 percent sure that the technology works the way we say it works.

IM: There’s a huge emphasis on sustainability in the energy industry. How does your technology reduce carbon emissions?

CM: There are two kinds of components here. The first one is about optimizing operations — personnel transportation at the field level. We have studied calculations of what carbon dioxide output looks like to reduce it in terms of optimizing transportation, technology, and contributing to innovative ideas. We are currently initiating a feasibility study on a carbon capture technology, and working with customers to provide value in the technology in various aspects.

IM: I see several partnerships have already begun. Are you looking for more and what role do these partnerships play for your business?

CM: We have two partnerships about to close. One is with Telefonica, a Spanish telecommunications company, and another with Pluspetrol, an Argentinian production company. Telefonica provides cybersecurity services to oil and gas companies, we actually work with them to deploy our technology in Latin America and Europe. They provide the cloud and cybersecurity component while we provide the AI component.

In terms of our technology development, Pluspetrol has been one of our partners from the very beginning and we continue developing more technologies with this particular customer. They provide us with access to real data and real operational conditions that facilitate technological innovation.

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