Houston organization introduces inaugural cancer-fighting cohort of data sciences, experts

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MD Anderson’s goal with the new Institute for Data Science in Oncology is to advance collaborative projects that will bring the power of data science to every decision made at the hospital. Photo via mdanderson.org

The University of Texas MD Anderson Cancer Center is one step closer to ending cancer thanks to its new institute that's focused on data science.

MD Anderson’s goal with the new Institute for Data Science in Oncology (IDSO) is to advance collaborative projects that will bring the power of data science to every decision made at the hospital. And now, the IDSO has announced its inaugural cohort of 33 scientists, clinicians, and staff that will bring it to life, joining the already appointed leadership and focus area co-leads.

“By engaging diverse expertise across all of our mission areas, we will enhance the rich and productive data science ecosystem at MD Anderson to deliver transformational impact for patients,” David Jaffray, Ph.D., director of IDSO and chief technology and digital officer at MD Anderson, says in a press release.

The focus areas for the IDSO are quantitative pathology and medical imaging; single-cell analytics; computational modeling for precision medicine; decision analytics for health; and safety, quality, and access.

The IDSO Affiliates, as they are known, are a mix of existing contributors to the IDSO and team members who were recruited specifically for their expertise in data science. The affiliates were chosen to fulfill a two-year term, during which they will focus on IDSO projects related to the focus areas above. The diverse roster of professionals includes:

Kadir Akdemir, Ph.D., assistant professor of Neurosurgery
Lee Andrews, executive director of Clinical & Research Solutions
Janna Baganz, director of Enterprise Data Engineering & Analytics
Emily Barnhill, associate vice president of Strategic Industry Ventures
Arjun Bhattacharya, Ph.D., assistant professor of Epidemiology
Kristy Brock, Ph.D., professor of Imaging Physics
Joseph Butner, Ph.D., assistant professor of Radiation Oncology
Laurence Court, Ph.D., professor of Radiation Physics
Christopher Flowers, M.D., division head of Cancer Medicine
David Fuentes, Ph.D., associate professor of Imaging Physics
Andy Futreal, Ph.D., chair of Genomic Medicine
Audra Hagan, director of Data Impact & Governance
John Hazle, Ph.D., chair of Imaging Physics
Kenneth Hu, Ph.D., assistant professor of Immunology and assistant member of the James P. Allison Institute
James Incalcaterra, Ph.D., vice president of Finance & Analytics
Jack Lee, Ph.D., professor of Biostatistics
Han Liang, Ph.D., professor of Bioinformatics & Computational Biology
John Lin, M.D., assistant professor of Health Services Research
Lorna McNeill, Ph.D., chair of Health Disparities Research
Nicholas Navin, Ph.D., chair of Systems Biology
Tucker Netherton, Ph.D., assistant professor of Radiation Physics
Jay Patel, executive director of Data Integration & Software Architecture
Stephanie Schmidt, Ph.D., data science group leader in Genomic Medicine
Kenna Shaw, Ph.D., executive director of the Institute for Personalized Cancer Therapy
Yu Shen, Ph.D., professor of Biostatistics
Shawn Stapleton, Ph.D., director of Data Impact & Governance
Iakovos Toumazis, Ph.D., assistant professor of Health Services Research
Linghua Wang, M.D., Ph.D., associate professor of Genomic Medicine
Wenyi Wang, Ph.D., professor of Bioinformatics & Computational Biology
John Weinstein, M.D., Ph.D., chair of Bioinformatics & Computational Biology
Scott Woodman, M.D., Ph.D., associate professor of Genomic Medicine
Jia Wu, Ph.D., assistant professor of Imaging Physics
Chengyue Wu, Ph.D., assistant professor of Imaging Physics

“Our affiliates bring expertise, perspectives and commitment from across the institution to foster impactful data science in order to tackle the most urgent needs of our patients and their families,” said Caroline Chung, M.D., director of Data Science Development and Implementation for IDSO and chief data officer at MD Anderson. “People and community are at the heart of our efforts, and establishing the IDSO Affiliates is an exciting step in growing the most impactful ecosystem for data science in the world.”

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Six Houston inventors have been recognized with the highest professional distinction for inventors within academia. Photo via Pexels

6 Houston-area inventors named fellows in prestigious program

best in class

The National Academy of Inventors has announced its annual set of NAI Fellows — and six Houstonians make the list of the 164 honorees from 116 research institutions worldwide.

The NAI Fellows Program honors academic inventors "who have demonstrated a spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on the quality of life, economic development, and the welfare of society," according to a news release. The appointment is the highest professional distinction for inventors within academia.

The six Houstonians on the list join a group that hold more than 48,000 U.S. patents, which have generated over 13,000 licensed technologies and companies, and created more than one million jobs, per the release. Additionally, $3 trillion in revenue has been generated based on NAI Fellow discoveries.

These are the scientists from Houston organizations:

Zhiqiang An, University of Texas Health Science Center at Houston: An is the director of the Texas Therapeutics Institute, a drug discovery program operated by the John P. and Kathrine G. McGovern Medical School at Houston. He's also a professor of molecular medicine and holder of the Robert A. Welch Distinguished University Chair in Chemistry at UTHealth.
Alex Ignatiev, University of Houston: Ignatiev served as director of two NASA-supported research and technology development centers at the University of Houston and as Lillie Cranz and Hugh Roy Cullen Professor of Physics, Chemistry, and Electrical and Computer Engineering.
David Jaffray, University of Texas MD Anderson Cancer Center: Jaffray was appointed MD Anderson's first-ever chief technology and digital officer in 2019. He oversees MD Anderson’s Information Services division and Information Security department and is a professor of Radiation Physics with a joint appointment in Imaging Physics.
Pei-Yong Shi,The University of Texas Medical Branch: Pei-Yong Shi is a professor and John Sealy Distinguished Chair in Innovations in Molecular Biology Department of Biochemistry & Molecular Biology;. He's also the Vice Chair for Innovation and Commercialization.
Ganesh Thakur, University of Houston: Thakur is a pioneer in carbon capture, utilization and storage and has a patent on forecasting performance of water injection and enhanced oil recovery. His team is continuing to push the research envelope for CCUS employing world-class lab research, simulation, machine learning and artificial intelligence.
Darren Woodside, Texas Heart Institute: Woodside is the Vice President for Research and Director of the Flow Cytometry and Imaging Core at the Texas Heart Institute. His research centers around the role that cell adhesion plays in cardiovascular and autoimmune diseases, and the development of novel means to identify and treat these diseases.

Ten other Texas-based innovators made the list, including:

Sanjay Banerjee, The University of Texas at Austin
Thomas Boland, The University of Texas at El Paso
Joan Brennecke, The University of Texas at Austin
Gerard Cote, Texas A&M University
Ananth Dodabalapur, The University of Texas at Austin
Holloway (Holly) H. Frost Jr., The University of Texas at Arlington
James E. Hubbard, Texas A&M University
Yi Lu, University of Texas at Austin
Samuel Prien, Texas Tech University
Earl E. Swartzlander Jr., The University of Texas at Austin

This year's class will be inducted at the Fellows Induction Ceremony at the 11th Annual Meeting of the National Academy of Inventors in June in Phoenix, Arizona.

"The caliber of this year's class of NAI Fellows is outstanding. Each of these individuals are highly-regarded in their respective fields," says Paul R. Sanberg, president of NAI's board of directors, in the release. "The breadth and scope of their discovery is truly staggering. I'm excited not only see their work continue, but also to see their knowledge influence a new era of science, technology, and innovation worldwide."

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Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI.

In a study recently published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Previous models only approximated how water molecules relaxed around contrasting agents. However, through this new model, known as the NMR eigenmodes framework, the research team has uncovered the “full physical equations” to explain the process.

“The concept is similar to how a musical chord consists of many notes,” Thiago Pinheiro, the study’s first author, a Rice doctoral graduate in chemical and biomolecular engineering and postdoctoral researcher in the chemical sciences division at Oak Ridge National Laboratory, said in a news release. “Previous models only captured one or two notes, while ours picks up the full harmony.”

According to Rice, the findings could lead to the development and application of new contrast agents for clearer MRIs in medicine and materials science. Beyond MRIs, the NMR relaxation method could also be applied to other areas like battery design and subsurface fluid flow.

“In the present paper, we developed a comprehensive theory to interpret those previous molecular dynamics simulations and experimental findings,” Dilipkumar Asthagiri, a senior computational biomedical scientist in the National Center for Computational Sciences at Oak Ridge National Laboratory, said in the release. ”The theory, however, is general and can be used to understand NMR relaxation in liquids broadly.”

The team has also made its code available as open source to encourage its adoption and further development by the broader scientific community.

“By better modeling the physics of nuclear magnetic resonance relaxation in liquids, we gain a tool that doesn’t just predict but also explains the phenomenon,” Walter Chapman, a professor of chemical and biomolecular engineering at Rice, added in the release. “That is crucial when lives and technologies depend on accurate scientific understanding.”

The study was backed by The Ken Kennedy Institute, Rice Creative Ventures Fund, Robert A. Welch Foundation and Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.

Houston-area lab grows with focus on mobile diagnostics and predictive medicine

mobile medicine

When it comes to healthcare, access can be a matter of life and death. And for patients in skilled nursing facilities, assisted living or even their own homes, the ability to get timely diagnostic testing is not just a convenience, it’s a necessity.

That’s the problem Principle Health Systems (PHS) set out to solve.

Founded in 2016 in Clear Lake, Texas, PHS began as a conventional laboratory but quickly pivoted to mobile diagnostics, offering everything from core blood work and genetic testing to advanced imaging like ultrasounds, echocardiograms, and X-rays.

“We were approached by a group in a local skilled nursing facility to provide services, and we determined pretty quickly there was a massive need in this area,” says James Dieter, founder, chairman and CEO of PHS. “Turnaround time is imperative. These facilities have an incredibly sick population, and of course, they lack mobility to get the care that they need.”

What makes PHS unique is not only what they do, but where they do it. While they operate one of the largest labs serving skilled nursing facilities in the state, their mobile teams go wherever patients are, whether that’s a nursing home, a private residence or even a correctional facility.

Diagnostics, Dieter says, are at the heart of medical decision-making.

“Seventy to 80 percent of all medical decisions are made from diagnostic results in lab and imaging,” he says. “The diagnostic drives the doctor’s or the provider’s next move. When we recognized a massive slowdown in lab results, we had to innovate to do it faster.”

Innovation at PHS isn’t just about speed; it’s about accessibility and precision.

Chris Light, COO, explains: “For stat testing, we use bedside point-of-care instruments. Our phlebotomists take those into the facilities, test at the bedside, and get results within minutes, rather than waiting days for results to come back from a core lab.”

Scaling a mobile operation across multiple states isn’t simple, but PHS has expanded into nine states, including Texas, Oklahoma, Kansas, Missouri and Arizona. Their model relies on licensed mobile phlebotomists, X-ray technologists and sonographers, all trained to provide high-level care outside traditional hospital settings.

The financial impact for patients is significant. Instead of ambulance rides and ER visits costing thousands, PHS services often cost just a fraction, sometimes only tens or hundreds of dollars.

“Traditionally, without mobile diagnostics, the patient would be loaded into a transportation vehicle, typically an ambulance, and taken to a hospital,” Dieter says. “Our approach is a fraction of the cost but brings care directly to the patients.”

The company has also embraced predictive and personalized medicine, offering genetic tests that guide medication decisions and laboratory tests that predict cognitive decline from conditions like Alzheimer's and Parkinson’s.

“We actively look for complementary services to improve patient outcomes,” Dieter says. “Precision medicine and predictive testing have been a great value-add for our providers.”

Looking to the future, PHS sees mobile healthcare as part of a larger trend toward home-based care.

“There’s an aging population that still lives at home with caretakers,” Dieter explains. “We go into the home every day, whether it’s an apartment, a standalone home, or assisted living. The goal is to meet patients where they are and reduce the need for hospitalization.”

Light highlighted another layer of innovation: predictive guidance.

“We host a lot of data, and labs and imaging drive most treatment decisions,” Light says. “We’re exploring how to deploy diagnostics immediately based on results, eliminating hours of delay and keeping patients healthier longer.”

Ultimately, innovation at PHS isn’t just about technology; it’s about equity.

“There’s an 11-year life expectancy gap between major metro areas and rural Texas,” Dieter says. “Our innovation has been leveling the field, so everyone has access to high-quality diagnostics and care, regardless of where they live.”

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