Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

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.

From Your Site Articles
Vicky Yao and Qiliang Lai. Photo courtesy of Rice University

Rice University scientists invent new algorithm to fight Alzheimer's

A Seismic Breakthrough

A new breakthrough from researchers at Rice University could unlock the genetic components that determine several human diseases such as Parkinson's and Alzheimer's.

Alzheimer's disease affected 57 million people worldwide in 2021, and cases in the United States are expected to double in the next couple of decades. Despite its prevalence and widespread attention of the condition, the full mechanisms are still poorly understood. One hurdle has been identifying which brain cells are linked to the disease.

For years, it was thought that the cells most linked with Alzheimer's pathology via DNA evidence were microglia, infection-fighting cells in the brain. However, this did not match with actual studies of Alzheimer's patients' brains. It's the memory-making cells in the human brain that are implicated in the pathology.

To prove this link, researchers at Rice, alongside Boston University, developed a computational algorithm called “Single-cell Expression Integration System for Mapping Genetically Implicated Cell Types," or SEISMIC. It allows researchers to zero in on specific neurons linked to Alzheimer's, the first of its kind. Qiliang Lai, a Rice doctoral student and the lead author of a paper on the discovery published in Nature Communications, believes that this is an important step in the fight against Alzheimer's.

“As we age, some brain cells naturally slow down, but in dementia — a memory-loss disease — specific brain cells actually die and can’t be replaced,” said Lai. “The fact that it is memory-making brain cells dying and not infection-fighting brain cells raises this confusing puzzle where DNA evidence and brain evidence don’t match up.”

Studying Alzheimer's has been hampered by the limitations of computational analysis. Genome-wide association studies (GWAS) and single-cell RNA sequencing (scRNA-seq) map small differences in the DNA of Alzheimer's patients. The genetic signal in these studies would often over-emphasize the presence of infection fighting cells, essentially making the activity of those cells too "loud" statistically to identify other factors. Combined with greater specificity in brain regional activity, SEISMIC reduces the data chatter to grant a clearer picture of the genetic component of Alzheimer's.

“We built our SEISMIC algorithm to analyze genetic information and match it precisely to specific types of brain cells,” Lai said. “This enables us to create a more detailed picture of which cell types are affected by which genetic programs.”

Though the algorithm is not in and of itself likely to lead to a cure or treatment for Alzheimer's any time soon, the researchers say that SEISMIC is already performing significantly better than existing tools at identifying important disease-relevant cellular signals more clearly.

“We think this work could help reconcile some contradicting patterns in the data pertaining to Alzheimer’s research,” said Vicky Yao, assistant professor of computer science and a member of the Ken Kennedy Institute at Rice. “Beyond that, the method will likely be broadly valuable to help us better understand which cell types are relevant in different complex diseases.”

---

This article originally appeared on CultureMap.com.

Rice University's new Bachelor of Science in AI will be one of only a few in the country. Photo via Getty Images.

Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”

The new Rice Nexus is partnering with Google Public Sector and Non Sibi Ventures to support high-potential AI-focused startups. Image via Rice University.

Google teams up with Rice University to launch AI-focused accelerator

eyes on AI

Google Public Sector is teaming up with Rice University to drive early-stage artificial intelligence innovation and commercialization via the new Rice AI Venture Accelerator, or RAVA.

RAVA will use Google Cloud technology and work with venture capital firm Non Sibi Ventures to connect high-potential AI-focused startups with public and private sector organizations. The incubator will be led by Rice Nexus, which launched earlier this year in the Ion District as an AI-focused "innovation factory.”

“Google Public Sector is proud to partner with a leading institution like Rice University to launch the Rice AI Venture Accelerator,” Reymund Dumlao, director of state and local government and education at Google Public Sector, said in a news release. “By providing access to Google Cloud’s cutting-edge AI, secure cloud infrastructure and expertise, we’re enabling the next generation of AI pioneers to develop solutions that address critical challenges across industries and within the public sector. This unique partnership between education and industry will give participants access to cutting-edge research, leading technologists, specialized resources and a collaborative academic ecosystem, fostering an environment for rapid innovation and growth.”

Participants will have access to Google Public Sector’s AI leadership as well as experts from Rice’s Ken Kennedy Institute, which focuses on AI and computing research. It will be led by Sanjoy Paul, Rice Nexus’ inaugural executive director. Paul previously worked at Accenture LLC as a managing director of technology and is a lecturer in Rice's Department of Computer Science.

Rice Nexus will serve as the physical hub for RAVA, but the program will support AI startups from across the U.S., as part of Rice’s Momentous strategic plan, according to the university.

“This hub enables AI startups to go beyond building minimum viable products that meet industry privacy standards by utilizing the latest AI technologies from Google Cloud,” Paul said in the news release. “Our goal is to maximize the return on investment for our corporate partners, driving meaningful innovation that will have lasting impact on their industries.”

The 10,000-square-foot Rice Nexus space currently serves as home base for several startups with ties to Rice, including Solidec, BeOne Sports and others. Read more about the new incubation space here.

OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models to support storm response decision makers, has secured an NSF grant. Photo by Eric Turnquist

Houston-area researchers score $1.5M grant to develop storm response tech platform

fresh funding

Researchers from Rice University have secured a $1.5 million grant from the National Science Foundation to continue their work on improving safety and resiliency of coastal communities plagued by flooding and hazardous weather.

The Rice team of engineers and collaborators includes Jamie Padgett, Ben Hu, and Avantika Gori along with David Retchless at Texas A&M University at Galveston. The researchers are working in collaboration with the Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center and the Ken Kennedy Institute at Rice and A&M-Galveston’s Institute for a Disaster Resilient Texas.

Together, the team is developing and hopes to deploy “Open-Source Situational Awareness Framework for Equitable Multi-Hazard Impact Sensing using Responsible AI,” or OpenSafe.AI, a new platform that utilizes AI, data, and hazard and resilience models "to provide timely, reliable and equitable insights to emergency response organizations and communities before, during and after tropical cyclones and coastal storm events," reads a news release from Rice.

“Our goal with this project is to enable communities to better prepare for and navigate severe weather by providing better estimates of what is actually happening or might happen within the next hours or days,” Padgett, Rice’s Stanley C. Moore Professor in Engineering and chair of the Department of Civil and Environmental Engineering, says in the release. “OpenSafe.AI will take into account multiple hazards such as high-speed winds, storm surge and compound flooding and forecast their potential impact on the built environment such as transportation infrastructure performance or hazardous material spills triggered by severe storms.”

OpenSafe.AI platform will be developed to support decision makers before, during, and after a storm.

“By combining cutting-edge AI with a deep understanding of the needs of emergency responders, we aim to provide accurate, real-time information that will enable better decision-making in the face of disasters,” adds Hu, associate professor of computer science at Rice.

In the long term, OpenSafe.AI hopes to explore how the system can be applied to and scaled in other regions in need of equitable resilience to climate-driven hazards.

“Our goal is not only to develop a powerful tool for emergency response agencies along the coast but to ensure that all communities ⎯ especially the ones most vulnerable to storm-induced damage ⎯ can rely on this technology to better respond to and recover from the devastating effects of coastal storms,” adds Gori, assistant professor of civil and environmental engineering at Rice.

------

This article originally ran on EnergyCapital.

Angela Wilkins joins the Houston Innovators Podcast to discuss the intersection of data and health care. Photo courtesy

Houston data scientist joins medical device startup amid AI evolution in the sector

HOUSTON INNOVATORS PODCAST EPISODE 241

When most people hear about Houston startup Starling Medical, they might think about how much potential the medical device company has in the field of urinalysis diagnostics. But that's not quite where Angela Wilkins's head went.

Wilkins explains on the Houston Innovators Podcast that when she met the company's co-founders, Hannah McKenney and Drew Hendricks, she recognized them as very promising startup leaders taking action on a real health care problem. Starling's device can collect urine and run diagnostics right from a patient's toilet.

"It was one of those things where I just thought, 'They're going to get a bunch of data soon,'" Wilkins says. "The opportunity is just there, and I was really excited to come on and build their AI platform and the way they are going to look at data."

For about a year, Wilkins supported the startup as an adviser. Now, she's working more hands on as chief data officer as the company grows.



Wilkins, who serves as a mentor and adviser for several startups, has a 20-year career in Houston across all sides of the innovation equation, working first at Baylor College of Medicine before co-founding Mercury Data Science — now OmniScience. Most recently she served as executive director of the Ken Kennedy Institute at Rice University.

This variety in her resume makes her super connective — a benefit to all the startups she works with, she explains. The decision to transition to a startup team means she gets to work hands on in building a technology — while bringing in her experience from other institutions.

"I think I've really learned how to partner with those institutions," she says on the show. "I've really learned how to make those bridges, and that's a big challenge that startups face."

"When we talk about the Houston innovation ecosystem, it's something we should be doing better at because we have so many startups and so many places that would like to use better technology to solve problems," she continues.

Wilkins has data and artificial intelligence on the mind in everything she does, and she even serves on a committee at the state level to learn and provide feedback on how Texas should be regulating AI.

"At the end of the day, the mission is to put together a report and strategy on how we think Texas should think about AI," she explains. "It's beyond just using an algorithm, they need infrastructure."

Colorado is the first state to pass legislation surrounding AI, and Wilkins says all eyes are on how execution of that new law will go.

"We should have technology that can be double checked to make sure we're applying it in a way that's fair across all demographics. It's obvious that we should do that — it's just very hard," she says.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

Houston biotech co. raises $11M to advance ALS drug development

drug money

Houston-based clinical-stage biotechnology company Coya Therapeutics (NASDAQ: COYA) has raised $11.1 million in a private investment round.

India-based pharmaceuticals company Dr. Reddy’s Laboratories Inc. led the round with a $10 million investment, according to a news release. New York-based investment firm Greenlight Capital, Coya’s largest institutional shareholder, contributed $1.1 million.

The funding was raised through a definitive securities purchase agreement for the purchase and sale of more than 2.5 million shares of Coya's common stock in a private placement at $4.40 per share.

Coya reports that it plans to use the proceeds to scale up manufacturing of low-dose interleukin-2 (IL-2), which is a component of its COYA 302 and will support the commercial readiness of the drug. COYA 302 enhances anti-inflammatory T cell function and suppresses harmful immune activity for treatment of Amyotrophic Lateral Sclerosis (ALS), Frontotemporal Dementia (FTD), Parkinson’s disease and Alzheimer’s disease.

The company received FDA acceptance for its investigational new drug application for COYA 302 for treating ALS and FTD this summer. Its ALSTARS Phase 2 clinical trial for ALS treatment launched this fall in the U.S. and Canada and has begun enrolling and dosing patients. Coya CEO Arun Swaminathan said in a letter to investors that the company also plans to advance its clinical programs for the drug for FTD therapy in 2026.

Coya was founded in 2021. The company merged with Nicoya Health Inc. in 2020 and raised $10 million in its series A the same year. It closed its IPO in January 2023 for more than $15 million. Its therapeutics uses innovative work from Houston Methodist's Dr. Stanley H. Appel.

New accelerator for AI startups to launch at Houston's Ion this spring

The Collectiv Foundation and Rice University have established a sports, health and wellness startup accelerator at the Ion District’s Collectiv, a sports-focused venture capital platform.

The AI Native Dual-Use Sports, Health & Wellness Accelerator, scheduled to formally launch in March, will back early-stage startups developing AI for the sports, health and wellness markets. Accelerator participants will gain access to a host of opportunities with:

  • Mentors
  • Advisers
  • Pro sports teams and leagues
  • University athletics programs
  • Health care systems
  • Corporate partners
  • VC firms
  • Pilot projects
  • University-based entrepreneurship and business initiatives

Accelerator participants will focus on sports tech verticals inlcuding performance and health, fan experience and media platforms, data and analytics, and infrastructure.

“Houston is quickly becoming one of the most important innovation hubs at the intersection of sports, health, and AI,” Ashley DeWalt, co-founder and managing partner of The Collectiv and founder of The Collectiv Foundation, said in a news release.

“By launching this platform with Rice University in the Ion District,” he added, “we are building a category-defining acceleration engine that gives founders access to world-class research, global sports properties, hospital systems, and venture capital. This is about turning sports-validated technology into globally scalable companies at a moment when the world’s attention is converging on Houston ahead of the 2026 World Cup.”

The Collectiv accelerator will draw on expertise from organizations such as the Rice-Houston Methodist Center for Human Performance, Rice Brain Institute, Rice Gateway Project and the Texas Medical Center.

“The combination of Rice University’s research leadership, Houston’s unmatched health ecosystem, and The Collectiv’s operator-driven investment platform creates a powerful acceleration engine,” Blair Garrou, co-founder and managing partner of the Mercury Fund VC firm and a senior adviser for The Collectiv, added in the release.

Additional details on programming, partners and application timelines are expected to be announced in the coming weeks.

4 Houston-area schools excel with best online degree programs in U.S.

Top of the Class

Four Houston-area universities have earned well-deserved recognition in U.S. News & World Report's just-released rankings of the Best Online Programs for 2026.

The annual rankings offer insight into the best American universities for students seeking a flexible and affordable way to attain a higher education. In the 2026 edition, U.S. News analyzed nearly 1,850 online programs for bachelor's degrees and seven master's degree disciplines: MBA, business (non-MBA), criminal justice, education, engineering, information technology, and nursing.

Many of these local schools are also high achievers in U.S. News' separate rankings of the best grad schools.

Rice University tied with Texas A&M University in College Station for the No. 3 best online master's in information technology program in the U.S., and its online MBA program ranked No. 21 nationally.

The online master's in nursing program at The University of Texas Medical Branch in Galveston was the highest performing master's nursing degree in Texas, and it ranked No. 19 nationally.

Three different programs at The University of Houston were ranked among the top 100 nationwide:
  • No. 18 – Best online master's in education
  • No. 59 – Best online master's in business (non-MBA)
  • No. 89 – Best online bachelor's program
The University of Houston's Clear Lake campus ranked No. 65 nationally for its online master's in education program.

"Online education continues to be a vital path for professionals, parents, and service members seeking to advance their careers and broaden their knowledge with necessary flexibility," said U.S. News education managing editor LaMont Jones in a press release. "The 2026 Best Online Programs rankings are an essential tool for prospective students, providing rigorous, independent analysis to help them choose a high-quality program that aligns with their personal and professional goals."

A little farther outside Houston, two more universities – Sam Houston State University in Huntsville and Texas A&M University in College Station – stood out for their online degree programs.

Sam Houston State University

  • No. 5 – Best online master's in criminal justice
  • No. 30 – Best online master's in information technology
  • No. 36 – Best online master's in education
  • No. 77 – Best online bachelor's program
  • No. 96 – Best online master's in business (non-MBA)
Texas A&M University
  • No. 3 – Best online master's in information technology (tied with Rice)
  • No. 3 – Best online master's in business (non-MBA)
  • No. 8 – Best online master's in education
  • No. 9 – Best online master's in engineering
  • No. 11 – Best online bachelor's program
---

This article originally appeared on CultureMap.com.

View All Listings