A University of Houston researcher has reported a 98.7-percent rate of accuracy for a method pioneered by his lab to identify cancers at their earliest stages. Photo via Getty Images

Could detecting cancer one day be as easy as taking a blood test? Wei-Chuan Shih, a University of Houston researcher and Cullen College of Engineering professor of electrical and computer engineering, has reported a 98.7-percent rate of accuracy for a method pioneered by his lab to identify cancers at their earliest stages.

The technology combines Shih’s own PANORAMA (PlAsmonic NanO-apeRture lAbel-free iMAging) with fluorescent imaging to view nanometer-sized membrane sacs, called extracellular vesicles or EVs. EVs carry different types of cargo, including proteins, nucleic acids and metabolites, throughout the bloodstream.

“We observed differences in small EV numbers and cargo in samples taken from healthy people versus people with cancer and are able to differentiate these two populations based on our analysis of the small EVs,” reports Shih, in Nature Communications Medicine. “The findings came from combining two imaging methods – our previously developed method PANORAMA and imaging of fluorescence emitted by small EVs—to visualize and count small EVs, determine their size and analyze their cargo.”

Shih introduced PANORAMA in 2020. The technology uses a glass side covered with gold nano discs that allows users to monitor changes in the transmission of light as well as determine the characteristics of nanoparticles as small as 25 nanometers in diameter. For the new publication, Shih and his team just had to count the number of small EVs in order to detect cancer.

“Using a cutoff of 70 normalized small EV counts, all cancer samples from 205 patients were above this threshold except for one sample, and for healthy samples, from 106 healthy individuals, all but three were above this cutoff, giving a cancer detection sensitivity of 99.5% and specificity of 97.3%,” says Shih.

The team was able to report 100-percent accuracy with further testing that analyzed two independent sets of samples from stage I-IV or recurrent leiomyosarcoma/gastrointestinal stromal tumors and early-and-late-stage cholangiocarcinoma combined with healthy samples.

Shih and collaborator Steven H. Lin have founded Seek Diagnostics with the goal of commercializing the technology that they’ve innovated. In 2022, the duo joined the Texas Medical Center Innovation's cancer-focused accelerator.


Wei-Chuan Shih is a professor of electrical and computer engineering at the University of Houston's Cullen College of Engineering. Photo via UH.edu

Mark Clarke (left) and Wei-Chuan Shih were named among the National Academy of Inventors' inaugural class of senior members. Courtesy of the University of Houston

2 UH scientists receive prestigious national recognition for fostering innovation

top of the class

Two researchers at the University of Houston have been named to the inaugural class of senior members for the National Academy of Inventors. The new distinction recognizes the honorees for fostering innovation and educating and mentoring future innovators — as well as their contribution to science and technology.

The two UH honorees are Mark Clarke, associate provost for faculty development and faculty affairs, and Wei-Chuan Shih, associate professor of electrical and computer engineering. Both will be recognized at the eighth annual NAI meeting in Houston this April, a release from UH says.

"Dr. Clarke and Dr. Shih both have impressive records of producing impactful intellectual property and spurring innovation that is pertinent to the Houston region," Amr Elnashai, vice president of research and technology at UH, says in the release. "Their further efforts, including helping UH faculty commercialize technologies as well as working with graduate and undergraduate students to boost their entrepreneurial efforts, are a critical contribution to building the region's innovation ecosystem."

NAI named 65 total scientists from 37 universities as senior members. The scientists have been named on over 1,100 patents issued in the United States. Ten other Texas scientists made the inaugural class, representing Texas Tech university, Texas A&M University, Baylor College of Medicine, and University of Texas at Arlington.

The organization also has a fellowship program, in which UH has 12 current fellows.

Clarke has been at UH for over a decade and previously held the position of associate vice chancellor/vice president for technology transfer at the UH Division of Research, where he oversaw a portfolio of 360 technology patents, according to the release. Clarke has 13 patents to his name and previously worked at two startups — both commercialized technologies Clarke developed in his tenure at NASA then UH.

UH's other senior NIA member, Shih, has been granted 11 patents in the US. His NanoBioPhotonics Group has developed a number of sensing and imaging technologies and devices for biomedicine and environmental testing, among other fields. Shih, who has been at the university for over nine years, created a startup with a group of students called DotLens. The company produced and distributed lenses that could be used to convert a smartphone into a microphone.

A few months ago, a Houston scientist received international recognition when he

won the Nobel Prize for the cancer research he did for the University of Texas MD Anderson Cancer center. Jim Allison won for his work in launching an effective new way to attack cancer by treating the immune system rather than the tumor.
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Austin company to bring AI-powered school to The Woodlands

AI education

Austin-based Alpha School, which operates AI-powered private schools, is opening its first Houston-area location in The Woodlands.

The 8,000-square-foot school, scheduled to be ready for the 2026-27 academic year, initially will serve students in kindergarten through eighth grade. Alpha says the school will offer “open workshop spaces and innovative classrooms that support personalized instruction, core academics, leadership development, and real-world life skills.”

Alpha sets aside two hours each school day for the AI-driven, self-paced study of core subjects like math, reading and science. The rest of each school day consists of life-skills workshops focusing on topics such as leadership and financial literacy.

Alpha’s school in The Woodlands has begun accepting applications for the 2026-27 school year. Annual tuition costs $40,000.

“The Woodlands is one of the most dynamic, forward-thinking communities in Texas, and Alpha is proud to bring

an innovative educational model that complements its strong academic foundation,” says Rachel Goodlad, head

of expansion for Alpha.

Founded in 2014, Alpha School combines adaptive technology-driven instruction with immersive life-skills workshops. Its model emphasizes mastery-based learning in core subjects alongside development of communication, critical thinking, financial literacy and leadership skills. It operates more than 15 schools across the country.

Elsewhere in Texas, Alpha operates schools in Austin, Brownsville, Fort Worth and Plano. Alpha also operates 12 Texas Sports Academy campuses in Texas, including locations in Houston, Pearland and Richmond, along with a NextGen Academy esports school in Austin, a school for gifted students in Georgetown, and lower-cost Nova Academy campuses in Austin and Bastrop.

Alpha has fans and critics. While supporters tout students’ high achievement rates, detractors complain about the high tuition and the AI-influenced depersonalization of education.

“Students and our country need to be in relationship with other human beings,” Randi Weingarten, president of the American Federation of Teachers, a teachers union, tells The New York Times. “When you have a school that is strictly AI, it is violating that core precept of the human endeavor and of education.”

Alpha co-founder MacKenzie Price, a podcaster and social media influencer, doesn’t share Weingarten’s views.

“Parents and teachers: We need to embrace this change,” Price wrote after President Trump signed an executive order promoting AI in schools.

The Times notes that Alpha doesn’t employ AI as a tutor or a supplement. Rather, the newspaper says, AI is “the school’s primary educational driver to move students through academic content.”

Houston researcher secures $1.7M to develop drug for aggressive form of breast cancer

cancer research

A University of Houston researcher has joined a $3.2 million effort to develop a new drug designed to attack a cancer-driving protein commonly found in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is one of the most difficult-to-treat forms of cancer and accounts for 10 percent to 15 percent of all breast cancer cases. The disease gets its name because tumors associated with it test negative for estrogen receptors, progesterone receptors and excess HER2 protein, making it difficult to target. Due to this, TNBC is often treated with general chemotherapy, which can come with negative side effects and drug resistance, according to UH.

UH College of Pharmacy research associate professor Wei Wang is developing a drug that can target the disease more specifically. The drug will target MDM2, a protein often overproduced in TNBC that also contributes to faster tumor growth.

Wang is working on a team led by Wei Li, director of the University of Tennessee Health Science Center College of Pharmacy’s Drug Discovery Center. She has received $1.7 million to support the research.

Wang and UH professor of pharmacology and toxicology Ruiwen Zhang have discovered a compound that can break down MDM2. In early laboratory models, the compound has shown the ability to shrink tumors.

Wang and Zhang will focus on understanding how the treatment works and monitoring its effectiveness in models that closely mirror human disease.

“We will study how the drug targets MDM2 and evaluate the most promising drug candidates to determine effective dosing, understand how the drug behaves in the body, compare it with existing treatments and assess early safety,” Wang said in a news release.

Li’s team at the University of Tennessee will be working on the chemistry and drug design end of the project.

“This work could lead to an entirely new class of therapies for triple-negative breast cancer,” Li added in the release. “We’re hopeful that by directly removing the MDM2 protein from cancer cells, we can help more patients respond to treatment regardless of their tumor type.”