Mercury Data Science has taken a tool it originally developed for COVID-19 research and applied it into new areas of research and innovation. Photo via Getty Images

Last fall, Houston-based Mercury Data Science released an AI-driven app designed to help researchers unlock COVID-19-related information tucked into biomedical literature. The app simplified access to data about subjects like genes, proteins, drugs, and diseases.

Now, a year into the coronavirus pandemic, Mercury Data Science is applying this technology to areas like agricultural biotech, cancer therapeutics, and neuroscience. It's an innovation that arose from the pandemic but that promises broader, long-lasting benefits.

Angela Holmes, chief operating officer of Mercury Data Science, says the platform relies on an AI concept known as natural language processing (NLP) to mine scientific literature and deliver real-time results to researchers.

"We developed this NLP platform as a publicly available app to enable scientists to efficiently discover biological relationships contained in COVID research publications," Holmes says.

The platform:

  • Contains dictionaries with synonyms to identify things like genes and proteins that may go by various names in scientific literature.
  • Produces data visualizations of relationships among various biological functions.
  • Summarizes the most important data points on a given topic from an array of publications.
  • Depends on data architecture to automate how data is retrieved and processed.

In agricultural biotech, the platform enables researchers to sift through literature to dig up data about plant genetics, Holmes says. The lack of gene-naming standards in the world of plants complicates efforts to search data about plant genetics, she says.


Angela Holmes is the COO of MDS. Photo via mercuryds.com


The platform's ability to easily ferret out information about plant genetics "allows companies seeking gene-editing targets to make crops more nutritious and more sustainable as the climate changes to have a rapid way to de-risk their genomic analyses by quickly assessing what is already known versus what is unknown," Holmes says.

The platform allowed one of Mercury Data Science's agricultural biotech customers to comb through scientific literature about plant genetics to support targeted gene editing in a bid to improve crop yields.

In the field of cancer therapeutics and other areas of pharmaceuticals, the platform helps prioritize drug candidates, Holmes says. One of Mercury Data Science's customers used the platform to extract data from about 2 terabytes (or 2 trillion bytes) of information to evaluate drug candidates. The information included drug studies, clinical trials, and patents. Armed with that data, Mercury Data Science's cancer therapy client signed agreements with new pharmaceutical partners.

The platform also applies to the hunt for biomarkers in neuroscience, including disorders such as depression, anxiety, autism and multiple sclerosis. Data delivered through the platform helps bring new neurobehavioral therapeutics to market, Holmes says.

"An NLP platform to automatically process newly published literature for more insight on the search for digital biomarkers represents a great opportunity to accelerate research in this area," she says.

Mercury Data Science has experience in the field of digital biomarkers, including work for one customer to develop a voice and video platform to improve insights into patients with depression and anxiety in order to improve treatment of those conditions.

The new platform — initially developed as a tool to combat COVID-19 — falls under the startup's vast umbrella of artificial intelligence and data science. Founded in 2017, Mercury Data Science emerged because portfolio companies of the Houston-based Mercury Fund were seeking to get a better handle on AI and data science.

Last April, Angela Wilkins, founder, co-CEO and chief technology officer of Mercury Data Science, left the company to lead Rice University's Ken Kennedy Institute. Dan Watkins, co-founder and managing director of the Mercury Fund, remains at Mercury Data Science as CEO.

The Ken Kennedy Institute fosters collaborations in computing and data. Wilkins replaced Jan Odegard as executive director of the institute. Odegard now is senior director of industry and academic partnerships at The Ion, the Rice-led innovation hub.

Wilkins "is an academic at heart with considerable experience working with faculty and students, and an entrepreneur who has helped build a successful technology company," Lydia Kavraki, director of the Ken Kennedy Institute, said in a news release announcing Wilkins' new role. "Over her career, Angela has worked on data and computing problems in a number of disciplines, including engineering, life sciences, health care, agriculture, policy, technology, and energy."

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Houston wearable biosensing company closes $13M pre-IPO round

fresh funding

Wellysis, a Seoul, South Korea-headquartered wearable biosensing company with its U.S. subsidiary based in Houston, has closed a $13.5 million pre-IPO funding round and plans to expand its Texas operations.

The round was led by Korea Investment Partners, Kyobo Life Insurance, Kyobo Securities, Kolon Investment and a co-general partner fund backed by SBI Investment and Samsung Securities, according to a news release.

Wellysis reports that the latest round brings its total capital raised to about $30 million. The company is working toward a Korea Securities Dealers Automated Quotations listing in Q4 2026 or Q1 2027.

Wellysis is known for its continuous ECG/EKG monitor with AI reporting. Its lightweight and waterproof S-Patch cardiac monitor is designed for extended testing periods of up to 14 days on a single battery charge.

The company says that the funding will go toward commercializing the next generation of the S-Patch, known as the S-Patch MX, which will be able to capture more than 30 biometric signals, including ECG, temperature and body composition.

Wellysis also reports that it will use the funding to expand its Houston-based operations, specifically in its commercial, clinical and customer success teams.

Additionally, the company plans to accelerate the product development of two other biometric products:

  • CardioAI, an AI-powered diagnostic software platform designed to support clinical interpretation, workflow efficiency and scalable cardiac analysis
  • BioArmour, a non-medical biometric monitoring solution for the sports, public safety and defense sectors

“This pre-IPO round validates both our technology and our readiness to scale globally,” Young Juhn, CEO of Wellysis, said in the release. “With FDA-cleared solutions, expanding U.S. operations, and a strong AI roadmap, Wellysis is positioned to redefine how cardiac data is captured, interpreted, and acted upon across healthcare systems worldwide.”

Wellysis was founded in 2019 as a spinoff of Samsung. Its S-Patch runs off of a Samsung Smart Health Processor. The company's U.S. subsidiary, Wellysis USA Inc., was established in Houston in 2023 and was a resident of JLABS@TMC.

Elon Musk vows to launch solar-powered data centers in space

To Outer Space

Elon Musk vowed this week to upend another industry just as he did with cars and rockets — and once again he's taking on long odds.

The world's richest man said he wants to put as many as a million satellites into orbit to form vast, solar-powered data centers in space — a move to allow expanded use of artificial intelligence and chatbots without triggering blackouts and sending utility bills soaring.

To finance that effort, Musk combined SpaceX with his AI business on Monday, February 2, and plans a big initial public offering of the combined company.

“Space-based AI is obviously the only way to scale,” Musk wrote on SpaceX’s website, adding about his solar ambitions, “It’s always sunny in space!”

But scientists and industry experts say even Musk — who outsmarted Detroit to turn Tesla into the world’s most valuable automaker — faces formidable technical, financial and environmental obstacles.

Feeling the heat

Capturing the sun’s energy from space to run chatbots and other AI tools would ease pressure on power grids and cut demand for sprawling computing warehouses that are consuming farms and forests and vast amounts of water to cool.

But space presents its own set of problems.

Data centers generate enormous heat. Space seems to offer a solution because it is cold. But it is also a vacuum, trapping heat inside objects in the same way that a Thermos keeps coffee hot using double walls with no air between them.

“An uncooled computer chip in space would overheat and melt much faster than one on Earth,” said Josep Jornet, a computer and electrical engineering professor at Northeastern University.

One fix is to build giant radiator panels that glow in infrared light to push the heat “out into the dark void,” says Jornet, noting that the technology has worked on a small scale, including on the International Space Station. But for Musk's data centers, he says, it would require an array of “massive, fragile structures that have never been built before.”

Floating debris

Then there is space junk.

A single malfunctioning satellite breaking down or losing orbit could trigger a cascade of collisions, potentially disrupting emergency communications, weather forecasting and other services.

Musk noted in a recent regulatory filing that he has had only one “low-velocity debris generating event" in seven years running Starlink, his satellite communications network. Starlink has operated about 10,000 satellites — but that's a fraction of the million or so he now plans to put in space.

“We could reach a tipping point where the chance of collision is going to be too great," said University at Buffalo's John Crassidis, a former NASA engineer. “And these objects are going fast -- 17,500 miles per hour. There could be very violent collisions."

No repair crews

Even without collisions, satellites fail, chips degrade, parts break.

Special GPU graphics chips used by AI companies, for instance, can become damaged and need to be replaced.

“On Earth, what you would do is send someone down to the data center," said Baiju Bhatt, CEO of Aetherflux, a space-based solar energy company. "You replace the server, you replace the GPU, you’d do some surgery on that thing and you’d slide it back in.”

But no such repair crew exists in orbit, and those GPUs in space could get damaged due to their exposure to high-energy particles from the sun.

Bhatt says one workaround is to overprovision the satellite with extra chips to replace the ones that fail. But that’s an expensive proposition given they are likely to cost tens of thousands of dollars each, and current Starlink satellites only have a lifespan of about five years.

Competition — and leverage

Musk is not alone trying to solve these problems.

A company in Redmond, Washington, called Starcloud, launched a satellite in November carrying a single Nvidia-made AI computer chip to test out how it would fare in space. Google is exploring orbital data centers in a venture it calls Project Suncatcher. And Jeff Bezos’ Blue Origin announced plans in January for a constellation of more than 5,000 satellites to start launching late next year, though its focus has been more on communications than AI.

Still, Musk has an edge: He's got rockets.

Starcloud had to use one of his Falcon rockets to put its chip in space last year. Aetherflux plans to send a set of chips it calls a Galactic Brain to space on a SpaceX rocket later this year. And Google may also need to turn to Musk to get its first two planned prototype satellites off the ground by early next year.

Pierre Lionnet, a research director at the trade association Eurospace, says Musk routinely charges rivals far more than he charges himself —- as much as $20,000 per kilo of payload versus $2,000 internally.

He said Musk’s announcements this week signal that he plans to use that advantage to win this new space race.

“When he says we are going to put these data centers in space, it’s a way of telling the others we will keep these low launch costs for myself,” said Lionnet. “It’s a kind of powerplay.”

Johnson Space Center and UT partner to expand research, workforce development

onward and upward

NASA’s Johnson Space Center in Houston has forged a partnership with the University of Texas System to expand collaboration on research, workforce development and education that supports space exploration and national security.

“It’s an exciting time for the UT System and NASA to come together in new ways because Texas is at the epicenter of America’s space future. It’s an area where America is dominant, and we are committed as a university system to maintaining and growing that dominance,” Dr. John Zerwas, chancellor of the UT System, said in a news release.

Vanessa Wyche, director of Johnson Space Center, added that the partnership with the UT System “will enable us to meet our nation’s exploration goals and advance the future of space exploration.”

The news release noted that UT Health Houston and the UT Medical Branch in Galveston already collaborate with NASA. The UT Medical Branch’s aerospace medicine residency program and UT Health Houston’s space medicine program train NASA astronauts.

“We’re living through a unique moment where aerospace innovation, national security, economic transformation, and scientific discovery are converging like never before in Texas," Zerwas said. “UT institutions are uniquely positioned to partner with NASA in building a stronger and safer Texas.”

Zerwas became chancellor of the UT System in 2025. He joined the system in 2019 as executive vice chancellor for health affairs. Zerwas represented northwestern Ford Bend County in the Texas House from 2007 to 2019.

In 1996, he co-founded a Houston-area medical practice that became part of US Anesthesia Partners in 2012. He remained active in the practice until joining the UT System. Zerwas was chief medical officer of the Memorial Hermann Hospital System from 2003 to 2008 and was its chief physician integration officer until 2009.

Zerwas, a 1973 graduate of the Houston area’s Bellaire High School, is an alumnus of the University of Houston and Baylor College of Medicine.