Rice University scientists are pioneering two technologies to better diagnose and treat complex lymphatic anomalies. Photo via Getty Images.

An arm of the U.S. Department of Health and Human Services has awarded $18 million to scientists at Rice University for research that has the potential to revolutionize how lymphatic diseases are detected and help increase survivability.

The lymphatic system is the network of vessels all over the body that help eliminate waste, absorb fat and maintain fluid balance. Diseases in this system are often difficult to detect early due to the small size of the vessels and the invasiveness of biopsy testing. Though survival rates of lymph disease have skyrocketed in the United States over the last five years, it still claims around 200,000 people in the country annually.

Early detection of complex lymphatic anomalies (CLAs) and lymphedema is essential in increasing successful treatment rates. That’s where Rice University’s SynthX Center, directed by Han Xiao and Lei Li, an assistant professor of electrical and computer engineering, comes in.

Aided by researchers from Texas Children’s Hospital, Baylor College of Medicine, the University of Texas at Dallas and the University of Texas Southwestern Medical Center, the center is pioneering two technologies: the Visual Imaging System for Tracing and Analyzing Lymphatics with Photoacoustics (VISTA-LYMPH) and Digital Plasmonic Nanobubble Detection for Protein (DIAMOND-P).

Simply put, VISTA-LYMPH uses photoacoustic tomography (PAT), a combination of light and sound, to more accurately map the tiny vessels of the lymphatic system. The process is more effective than diagnostic tools that use only light or sound, independent of one another. The research award is through the Advanced Research Projects Agency for Health (ARPA-H) Lymphatic Imaging, Genomics and pHenotyping Technologies (LIGHT) program, part of the U.S. HHS, which saw the potential of VISTA-LYMPH in animal tests that produced finely detailed diagnostic maps.

“Thanks to ARPA-H’s award, we will build the most advanced PAT system to image the body’s lymphatic network with unprecedented resolution and speed, enabling earlier and more accurate diagnosis,” Li said in a news release.

Meanwhile, DIAMOND-P could replace the older, less exact immunoassay. It uses laser-heated vapors of plasmonic nanoparticles to detect viruses without having to separate or amplify, and at room temperature, greatly simplifying the process. This is an important part of greater diagnosis because even with VISTA-LYMPH’s greater imaging accuracy, many lymphatic diseases still do not appear. Detecting biological markers is still necessary.

According to Rice, the efforts will help address lymphatic disorders, including Gorham-Stout disease, kaposiform lymphangiomatosis and generalized lymphatic anomaly. They also could help manage conditions associated with lymphatic dysfunction, including cancer metastasis, cardiovascular disease and neurodegeneration.

“By validating VISTA-LYMPH and DIAMOND-P in both preclinical and clinical settings, the team aims to establish a comprehensive diagnostic pipeline for lymphatic diseases and potentially beyond,” Xiao added in the release.

The ARPA-H award funds the project for up to five years.

Houston institutions have landed $6.25 million in NIH funding to launch the HAI-KUH research training program. Photo via UH.

Houston medical institutions launch $6M kidney research incubator

NIH funding

Institutions within Houston’s Texas Medical Center have launched the Houston Area Incubator for Kidney, Urologic and Hematologic Research Training (HAI-KUH) program. The incubator will be backed by $6.25 million over five years from the National Institutes of Health and aims to create a training pipeline for researchers.

HAI-KUH will include 58 investigators from Baylor College of Medicine, Texas Children’s Hospital, the University of Texas Health Science Center at Houston, University of Houston, Houston Methodist Research Institute, MD Anderson Cancer Center, Rice University and Texas A&M University Institute of Biosciences and Technology. The program will fund six predoctoral students and six postdoctoral associates. Trainees will receive support in scientific research, professional development and networking.

According to the organizations, Houston has a high burden of kidney diseases, hypertension, sickle cell disease and other nonmalignant hematologic conditions. HAI-KUH will work to improve the health of patients by building a strong scientific workforce that leverages the team's biomedical research resources to develop research skills of students and trainees and prepare them for sustained and impactful careers. The funding comes through the National Institute of Diabetes and Digestive and Kidney Diseases.

The principal investigators of the project include Dr. Alison Bertuch, professor of pediatric oncology and molecular and human genetics at BCM; Peter Doris, professor and director of the Institute of Molecular Medicine Center for Human Genetics at UT Health; and Margaret Goodell, professor and chair of the Department of Molecular and Cellular Biology at Baylor.

“This new award provides unique collaborative training experiences that extend beyond the outstanding kidney, urology, and hematology research going on in the Texas Medical Center,” Doris said in a news release. “In conceiving this award, the National Institute of Diabetes and Digestive and Kidney Diseases envisioned trainee development across the full spectrum of skills required for professional success.”

Jeffrey Rimer, a professor of Chemical Engineering, is a core investigator on the project and program director at UH. Rimer is known for his breakthroughs in using innovative methods in control crystals to help treat malaria and kidney stones. Other co-investigators include Dr. Wolfgang Winkelmeyer (Baylor), Oleh Pochynyuk (UTHealth), Dr. Rose Khavari (Houston Methodist) and Pamela Wenzel (UT Health).

“This new NIH-sponsored training program will enable us to recruit talented students and postdocs to work on these challenging areas of research,” Rimer added in a release.

A new AI tool from a Baylor College of Medicine Lab could help better diagnose specific types of autism spectrum disorder, epilepsy and developmental delay disorders. Photo via Getty Images.

Houston lab develops AI tool to improve neurodevelopmental diagnoses

developing news

One of the hardest parts of any medical condition is waiting for answers. Speeding up an accurate diagnosis can be a doctor’s greatest mercy to a family. A team at Baylor College of Medicine has created technology that may do exactly that.

Led by Dr. Ryan S. Dhindsa, assistant professor of pathology and immunology at Baylor and principal investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, the scientists have developed an artificial intelligence-based approach that will help doctors to identify genes tied to neurodevelopmental disorders. Their research was recently published the American Journal of Human Genetics.

According to its website, Dhindsa Lab uses “human genomics, human stem cell models, and computational biology to advance precision medicine.” The diagnoses that stem from the new computational tool could include specific types of autism spectrum disorder, epilepsy and developmental delay, disorders that often don’t come with a genetic diagnosis.

“Although researchers have made major strides identifying different genes associated with neurodevelopmental disorders, many patients with these conditions still do not receive a genetic diagnosis, indicating that there are many more genes waiting to be discovered,” Dhindsa said in a news release.

Typically, scientists must sequence the genes of many people with a diagnosis, as well as people not affected by the disorder, to find new genes associated with a particular disease or disorder. That takes time, money, and a little bit of luck. AI minimizes the need for all three, explains Dhindsa: “We used AI to find patterns among genes already linked to neurodevelopmental diseases and predict additional genes that might also be involved in these disorders.”

The models, made using patterns expressed at the single-cell level, are augmented with north of 300 additional biological features, including data on how intolerant genes are to mutations, whether they interact with other known disease-associated genes, and their functional roles in different biological pathways.

Dhindsa says that these models have exceptionally high predictive value.

“Top-ranked genes were up to two-fold or six-fold, depending on the mode of inheritance, more enriched for high-confidence neurodevelopmental disorder risk genes compared to genic intolerance metrics alone,” he said in the release. “Additionally, some top-ranking genes were 45 to 500 times more likely to be supported by the literature than lower-ranking genes.”

That means that the models may actually validate genes that haven’t yet been proven to be involved in neurodevelopmental conditions. Gene discovery done with the help of AI could possibly become the new normal for families seeking answers beyond umbrella terms like “autism spectrum disorder.”

“We hope that our models will accelerate gene discovery and patient diagnoses, and future studies will assess this possibility,” Dhindsa added.

Research from Baylor College of Medicine and the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital will help develop targeted treatments for individuals with auditory disorders. Photo via Getty Images.

Houston scientists make breakthrough in hearing science and treatment research

sounds good

Researchers at Baylor College of Medicine and the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital have successfully mapped which cell populations are responsible for processing different types of sounds.

Working with a team at the Oregon Health & Science University, the Houston scientists have classified where in the cochlear nucleus our brains connect with various sounds, including speech and music. The research was published in the new edition of Nature Communications.

“Understanding these cell types and how they function is essential in advancing treatments for auditory disorders,” Matthew McGinley, assistant professor of neuroscience at Baylor, said in a release. “Think of how muscle cells in the heart are responsible for contraction, while valve cells control blood flow. The auditory brainstem operates in a similar fashion — different cell types respond to distinct aspects of sound.”

Though scientists have long thought that there are distinct types of cells in the cochlear nucleus, they didn’t have tools to distinguish them until now.

Lead author on the study, Xiaolong Jiang, associate professor of neuroscience at Baylor, added: “This study not only confirms many of the cell types we anticipated, but it also unveils entirely new ones, challenging long-standing principles of hearing processing in the brain and offering fresh avenues for therapeutic exploration.”

Jiang and his team have cooked up a comprehensive cellular and molecular atlas of the cochlear nucleus, which will help them to create more targeted and more effective treatments for patients struggling with their hearing.

The strategies that aided them in creating these tools included single-nucleus RNA sequencing, which made it possible to define neuronal populations on a molecular level. Phenotypic categorizations of the cells were made possible with patch sequencing.

This is a watershed moment for the development of targeted treatments for individuals with auditory disorders, including those with impaired function in the auditory nerve, for whom cochlear implants don’t work.

“If we can understand what each cell type is responsible for, and with the identification of new subtypes of cells, doctors can potentially develop treatments that target specific cells with greater accuracy,” McGinley explains. “These findings, thanks to the work of our collaborative team, make a significant step forward in the field of auditory research and get us closer to a more personalized treatment for each patient.”

The University of Texas MD Anderson Cancer Center was recognized for advancements in electronic functionality, AI and robotics. Photo via mdanderson.org

Houston hospital named among smartest in the nation

hi, tech

Houston hospitals are chock-full of smart people. But they’re also equipped with lots of “smart” technology. In fact, five local hospitals appear on Newsweek’s new list of the world’s best “smart” hospitals.

To compile the list, Newsweek teamed up with data provider Statista to rank the world’s top 330 hospitals for the use of smart technology. The ranking factors were electronic functionality, telemedicine, digital imaging, artificial intelligence (AI), and robotics.

The highest-ranked Houston hospital is the University of Texas MD Anderson Cancer Center, appearing at No. 6. The hospital was recognized for advancements in electronic functionality, AI and robotics.

“MD Anderson has a significant opportunity and a responsibility to our many stakeholders to create a digital ecosystem that promotes collaboration and advances scientific discovery to enhance patient outcomes,” David Jaffray, the cancer center’s chief technology and digital officer, said in a 2021 news release.

“Through our ongoing focus on enabling the use of new technologies to place quantitative data in context for our researchers,” Jaffray added, “we foster cutting-edge oncology data science to inform our cancer discovery research and to accelerate translation of our research findings into benefits for cancer patients.”

Ahead of MD Anderson on the list are:

  1. Mayo Clinic in Rochester, Minnesota.
  2. Cleveland Clinic in Cleveland.
  3. Massachusetts General Hospital in Boston.
  4. Johns Hopkins Hospital in Baltimore.
  5. Mount Sinai Hospital in New York City.

Other Houston hospitals on the list are:

  • Houston Methodist Hospital, No. 11.
  • Baylor St. Luke’s Medical Center, No. 105.
  • Texas Children’s Hospital, No. 197.
  • Memorial Hermann-Texas Medical Center, No. 266.
CellChorus announced that the company, along with The University of Houston, has been awarded up to $2.5 million in funding. Photo via Getty Images

University of Houston-founded company secures $2.5M in NIH grant funding

all in the timing

You could say that the booming success of Houston biotech company CellChorus owes very much to auspicious TIMING. Those six letters stand for Time-lapse Imaging Microscopy In Nanowell Grids, a platform for dynamic single-cell analysis.

This week, CellChorus announced that the company, along with The University of Houston, has been awarded up to $2.5 million in funding from the National Center for Advancing Translational Sciences (NCATS) at the National Institute of Health. A $350,000 Phase I grant is already underway. Once predetermined milestones are achieved, this will lead to a two-year $2.1 million Phase II grant.

The TIMING platform was created by UH Single Cell Lab researchers Navin Varadarajan and Badri Roysam. TIMING generates high-throughput in-vitro assays that quantitatively profile interactions between cells on a large scale, particularly what happens when immune cells confront target cells. This has been especially useful in the realm of immuno-oncology, where it has demonstrated its power in designing novel therapies, selecting lead candidates for clinical trials and evaluating the potency of manufactured cells.

“By combining AI, microscale manufacturing and advanced microscopy, the TIMING platform yields deep insight into cellular behaviors that directly impact human disease and new classes of therapeutics,” says Rebecca Berdeaux, chief scientific officer at CellChorus. “The generous support of NCATS enables our development of computational tools that will ultimately integrate single-cell dynamic functional analysis of cell behavior with intracellular signaling events.”

Houston’s CellChorus Innovation Lab supports both the further development of TIMING and projects for early-access customers. Those customers include top-25 biopharmaceutical companies, venture-backed biotechnology companies, a leading comprehensive cancer center and a top pediatric hospital, says CEO Daniel Meyer.

CellChorus’s publications include papers written in collaboration with researchers from the Baylor College of Medicine, Houston Methodist, MD Anderson, Texas Children’s Hospital, the University of Texas and UTHealth in journals including Nature Cancer, Journal of Clinical Investigation and The Journal for ImmunoTherapy of Cancer.

The new Small Business Technology Transfer (STTR) award will specifically support the development of a scalable integrated software system conceived with the goal of analyzing cells that are not fluorescently labeled. This label-free analysis will be based on new AI and machine learning (ML) models trained on tens of millions of images of cells.

“This is an opportunity to leverage artificial intelligence methods for advancing the life sciences,” says Roysam. “We are especially excited about its applications to advancing cell-based immunotherapy to treat cancer and other diseases.”

The Houston-born-and-bred company couldn’t have a more appropriate home, says Meyer.

“Houston is a premier location for clinical care and the development of biotechnology and life sciences technologies. In particular, Houston has established itself as a leader in the development and delivery of immune cell-based therapies,” the CEO explains. “As a spin-out from the Single Cell Lab at the University of Houston, we benefit from working with world-class experts at local institutions.”

In May, the company received a similar $2.5 million SBIR grant from NCATS at the NIH. Also this summer, CellChorus's technology was featured in Nature Cancer.

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How Houston innovators played a role in the historic Artemis II splashdown

safe landing

Research from Rice University played a critical role in the safe return of U.S. astronauts aboard NASA’s Artemis II mission this month.

Rice mechanical engineer Tayfun E. Tezduyar and longtime collaborator Kenji Takizawa developed a key computational parachute fluid-structure interaction (FSI) analysis system that proved vital in NASA’s Orion capsule’s descent into the Pacific Ocean. The FSI system, originally developed in 2013 alongside NASA Johnson Space Center, was critical in Orion’s three-parachute design, which slowed the capsule as it returned to Earth, according to Rice.

The model helped ensure that the parachute design was large enough to slow the capsule for a safe landing while also being stable enough to prevent the capsule from oscillating as it descended.

“You cannot separate the aerodynamics from the structural dynamics,” Tezduyar said in a news release. “They influence each other continuously and even more so for large spacecraft parachutes, so the analysis must capture that interaction in a robustly coupled way.”

The end result was a final parachute system, refined through NASA drop tests and Rice’s computational FSI analysis, that eliminated fluctuations and produced a stable descent profile.

Apart from the dynamic challenges in design, modeling Orion’s parachutes also required solving complex equations that considered airflow and fabric deformation and accounted for features like ringsail canopy construction and aerodynamic interactions among multiple parachutes in a cluster.

“Essentially, my entire group was dedicated to that work, because I considered it a national priority,” Tezduyar added in the release. “Kenji and I were personally involved in every computer simulation. Some of the best graduate students and research associates I met in my career worked on the project, creating unique, first-of-its-kind parachute computer simulations, one after the other.”

Current Intuitive Machines engineer Mario Romero also worked on Orion during his time at NASA. From 2018 to 2021, Romero was a member of the Orion Crew Capsule Recovery Team, which focused on creating likely scenarios that crewmembers could encounter in Orion.

The team trained in NASA’s 6.2-million-gallon pool, using wave machines to replicate a range of sea conditions. They also simulated worst-case scenarios by cutting the lights, blasting high-powered fans and tipping a mock capsule to mimic distress situations. In some drills, mock crew members were treated as “injured,” requiring the team to practice safe, controlled egress procedures.

“It’s hard to find the appropriate descriptors that can fully encapsulate the feeling of getting to witness all the work we, and everyone else, did being put into action,” Romero tells InnovationMap. “I loved seeing the reactions of everyone, but especially of the Houston communities—that brought me a real sense of gratitude and joy.”

Intuitive Machines was also selected to support the Artemis II mission using its Space Data Network and ground station infrastructure. The company monitored radio signals sent from the Orion spacecraft and used Doppler measurements to help determine the spacecraft's precise position and speed.

Tim Crain, Chief Technology Officer at Intuitive Machines, wrote about the experience last week.

"I specialized in orbital mechanics and deep space navigation in graduate school,” Crain shared. “But seeing the theory behind tracking spacecraft come to life as they thread through planetary gravity fields on ultra-precise trajectories still seems like magic."

UH breakthrough moves superconductivity closer to real-world use

Energy Breakthrough

University of Houston researchers have set a new benchmark in the field of superconductivity.

Researchers from the UH physics department and the Texas Center for Superconductivity (TcSUH) have broken the transition temperature record for superconductivity at ambient pressure. The accomplishment could lead to more efficient ways to generate, transmit and store energy, which researchers believe could improve power grids, medical technologies and energy systems by enabling electricity to flow without resistance, according to a release from UH.

To break the record, UH researchers achieved a transition temperature 151 Kelvin, which is the highest ever recorded at ambient pressure since the discovery of superconductivity in 1911.

The transition temperature represents the point just before a material becomes superconducting, where electricity can flow through it without resistance. Scientists have been working for decades to push transition temperature closer to room temperature, which would make superconducting technologies more practical and affordable.

Currently, most superconductors must be cooled to extremely low temperatures, making them more expensive and difficult to operate.

UH physicists Ching-Wu Chu and Liangzi Deng published the research in the Proceedings of the National Academy of Sciences earlier this month. It was funded by Intellectual Ventures and the state of Texas via TcSUH and other foundations. Chu, founding director and chief scientist at TcSUH, previously made the breakthrough discovery that the material YBCO reaches superconductivity at minus 93 K in 1987. This helped begin a global competition to develop high-temperature superconductors.

“Transmitting electricity in the grid loses about 8% of the electricity,” Chu, who’s also a professor of physics at UH and the paper’s senior author, said in a news release. “If we conserve that energy, that’s billions of dollars of savings and it also saves us lots of effort and reduces environmental impacts.”

Chu and his team used a technique known as pressure quenching, which has been adapted from techniques used to create diamonds. With pressure quenching, researchers first apply intense pressure to the material to enhance its superconducting properties and raise its transition temperature.

Next, researchers are targeting ambient-pressure, room-temperature superconductivity of around 300 K. In a companion PNAS paper, Chu and Deng point to pressure quenching as a promising approach to help bridge the gap between current results and that goal.

“Room-temperature superconductivity has been seen as a ‘holy grail’ by scientists for over a century,” Rohit Prasankumar, director of superconductivity research at Intellectual Ventures, said in the release. “The UH team’s result shows that this goal is closer than ever before. However, the distance between the new record set in this study and room temperature is still about 140 C. Closing this gap will require concerted, intentional efforts by the broader scientific community, including materials scientists, chemists, and engineers, as well as physicists.”

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This article originally appeared on EnergyCapitalHTX.com.