Houston-based Melax Tech has developed multiple Natural language processing tools that are used by more than 650 health care and life science organizations. Photo via MelaxTech.com

Melax Tech Partners, a leader in natural language technology processing, announced a new partnership with the University of California at Irvine that will help researchers derive insights from the UCI Health Data Science Platform’s electronic health records system and improve patient care.

Melax will implement its signature text annotation tool LANN to pull information from clinical notes, and its CLAMP product to develop natural language processing customizations through the use of AI, according to a statement from the company.

“There has been a strong desire among UCI researchers to have the capability to analyze free-text clinical narrative data using cutting-edge NLP technologies," Kai Zheng, chief research information officer at UCI Health Affairs, says in a statement. "We are delighted to have this opportunity to work with Melax Tech to deploy their AI-driven annotation and analytics tools to help our researchers advance their research agenda by leveraging the vast amount of free-text data that our health system has accumulated in the past two decades.”

Natural language processing, or NLP, allows organizations and healthcare groups to sift through and analyze massive amounts of data at a rapid rate through the use of machine learning and AI. Houston-based Melax Tech, founded in 2017, has developed multiple NLP tools that are used by more than 650 health care and life science organizations, according to its website.

In addition to the recent partnership with UC Irvine, Melax has also recently partnered with Vanderbilt University Medical Center and the University of Western Pennsylvania on similar clinical projects.

Melax has also used its platforms to pull vital information from datasets relating to COVID-19, in both medical and social settings.

In March 2022, it was awarded a Phase 1 NIH Award, valued at $300,000, to develop informatics tools based on COVID-19 datasets with the San Diego Supercomputer Center at UC San Diego. The tool aims to help researchers better understand vast amounts of virus-related data and connect findings with other similar results.

In August, Melax also received another $300,000 grant from the National Institute of Allergy and Infectious Diseases to develop NLP-based algorithms that will "model, extract and synthesize vaccine misinformation from multiple popular social media sources," according to a statement. Melax will also develop a visualization that presents its findings on the misinformation into a compressible format.

"This is a very real topic affecting culture at present," Andre Pontin, CEO at Melax Tech, says in a statement. "And shows that we as a collective business and group of experts continue to be on the cutting-edge of science in the NLP and AI domain."

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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.”