Houston AI data firm partners on Alzheimer’s clinical trial

now testing

The trial, known as ADO2, will utilize OmniScience's recently developed product, Vivo, which uses generative AI to centralize and analyze clinical trial data in real time. Photo omniscience.bio

Houston data science firm OmniScience announced this month that it has partnered with Florida-based INmune Bio (NASDAQ: INMB) on a global Phase 2 Alzheimer’s disease clinical trial.

The trial, known as ADO2, will utilize OmniScience's recently developed product, Vivo, which uses generative AI to centralize and analyze clinical trial data in real time, according to a release. The two companies also partnered during Vivo’s development and recent roll-out.

"OmniScience and INmune Bio share a vision to transform how clinical trial teams engage with data – transforming data into knowledge in real time and informing decisions that increase the probability of success,” Angela Holmes, CEO of OmniScience, says in a statement. “As our partnership moves forward, we’re gaining further insights from the INmune team that we can integrate into Vivo’s roadmap. We look forward to our continued mutual success.”

The ADO2 trial will investigate INmune Bio's clinical-stage biotechnology XPro in patients with mild cognitive impairment or Alzheimer’s disease with brain inflammation, according to its website. Its products are focused on "restoring function in the body's innate immune system to fight disease."

The trial is overenrolled with 208 patients diagnosed with mild Alzheimer’s disease or mild cognitive impairment. The top-line results are expected to be released in Q2 2025.

"A global trial of this size is vast, and Vivo will be critical in our ability to analyze cognitive results,” Tara Lehner, INmune Bio’s vice president of clinical operations, says in the statement. “With genAI provided by Vivo, we can amplify our clinical teams’ capabilities, turning complex data into actionable insights at unprecedented speed, which means we can get answers—and treatments—to patients faster.”

INmune will be able to use OmniScience's Vivo product to unify data from electronic data capture, clinical trial management systems, patient-reported outcomes, clinical outcome assessments, labs, wearables, safety databases and more, according to the statement. The product has been shown to improve data quality and visualizations and reduce the reliance on spreadsheet-based data analysis during clinical trials.

Omniscience was originally founded in 2017, then known as Mercury Data Science. It rebranded and changed its name earlier this year. Holmes was named CEO in 2022.

Omniscience's Vivo product recently won first place in the CNS Summit 2024 Innovation Showcase in Boston and the Blue Whale Ribbon at the inaugural Whale Tank pitch competition during the 2024 Innovation Network Gathering (ING) in West Chester, Pennsylvania.

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DocJuris has raised a $8 million series A. Photo via Getty Images

Houston legal tech platform raises $8M series A, plans to hire

fresh funding

Houston-based DocJuris, a leader in AI contract review, announced the successful closure of its series A funding round by raising $8 million in new capital. This brings the total capital raised to date to $11.2 million.

"DocJuris AI has become an industry-leading platform that empowers enterprise legal, procurement, and sales teams to close deals faster while reducing risk," DocJuris CEO and Founder Henal Patel says in a news release. "With this funding, we will continue scaffolding our platform around generative AI, expand our customer success team, and grow our user base."

The most active venture capital firm in Texas Silverton Partners led the round with participation from previous investors Watertower Ventures, Surface Ventures, and Seed Round Capital.

Companies like Siemens, Dell, FedEx, Toyota, and Duke Energy already use DocJuris with its AI-powered contract negotiation software that automates imporrant tasks during the review, redlining, and negotiation of contracts. DocJuris uses a platform to screen third-party contracts in seconds, can redline clauses with playbook-compliant edits in one click, and also generate formatted track changes, exception tables, and amendments with a cloud-based application.

The Association of Corporate Counsel, awarded DocJuris the Value Champion Award in 2023 due to the reduced contract cycle times to minutes with AI.

“We wanted to replace repetitive, manual tasks and free up valuable time for our employees to focus on more impactful work,” lead attorney for Flex's Global Procurement and Supply Chain Iringo Csifo-Nagy adds. “To achieve this, we developed a turnkey solution for AI-driven contract reviews together with the DocJuris team."

In its first round of funding in 2021, DocJuris raised $3.2 million in seed capital.

In partnership with a digital consultant company, the Mark Cuban Foundation is looking for high school students interested in AI. Photo via Getty Images

New AI program powered by Mark Cuban opens applications for Houston students

eyes on ai

The Mark Cuban Foundation is partnering with digital consultant company Perficient’s Houston office to bring a one-of-its-kind, free artificial intelligence camp to high school students in Houston.

Applications, which are open now online, will close September 30.

“With the proliferation of AI, it’s more important than ever to increase AI education – especially among today’s youth,” Bill Davis, senior vice president at Perficient, says in a news release.

The curriculum will focus on the latest developments in the world of AI and Generative AI. The camp — held at Perficient’s Houston office on November 2, 9 and 16 — will provide students with necessary tools and technologies to help inspire a new generation of AI users and professionals. The camp aims to help underserved high school students with a focus on recruiting students of color, first generation college students, girls, and those from lower to moderate income households.

“As AI continues to become an undeniable force in all of our lives, it’s crucial that we open the door to this knowledge, especially to young people who want to explore it,” Cuban says in the release. “While technology expands and becomes more advanced, it becomes more critical that we ensure our students are prepared when they apply for schools or jobs in the future. Thanks to our work with Perficient, the bootcamp will offer an avenue to explore this fascinating field of technology to any student, no matter their means.”

Students can select from six tracks in the course that include healthcare, arts and entertainment, business and entrepreneurship, computer science, sports science, or education and career readiness. The AI Bootcamps are introductory and accessible to students in ninth through 12th grade with an interest in technology without any prior computer science experience. Transportation, resources and food will be provided.

As classes like STEM increase in popularity more programs have been created to help increase interest. More than 233,000 high school students in Texas took Career and Technical Education courses focused on STEM from 2020-2021.

“We’re proud to partner with the Mark Cuban Foundation to educate the next generation of technology leaders, mentoring students in AI, and ensuring the future of STEM,” Davis said in a news release.

BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies. Photo via Getty Images

Houston researchers create AI model to tap into how brain activity relates to illness

brainiac

Houston researchers are part of a team that has created an AI model intended to understand how brain activity relates to behavior and illness.

Scientists from Baylor College of Medicine worked with peers from Yale University, University of Southern California and Idaho State University to make Brain Language Model, or BrainLM. Their research was published as a conference paper at ICLR 2024, a meeting of some of deep learning’s greatest minds.

“For a long time we’ve known that brain activity is related to a person’s behavior and to a lot of illnesses like seizures or Parkinson’s,” Dr. Chadi Abdallah, associate professor in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor and co-corresponding author of the paper, says in a press release. “Functional brain imaging or functional MRIs allow us to look at brain activity throughout the brain, but we previously couldn’t fully capture the dynamic of these activities in time and space using traditional data analytical tools.

"More recently, people started using machine learning to capture the brain complexity and how it relates it to specific illnesses, but that turned out to require enrolling and fully examining thousands of patients with a particular behavior or illness, a very expensive process,” Abdallah continues.

Using 80,000 brain scans, the team was able to train their model to figure out how brain activities related to one another. Over time, this created the BrainLM brain activity foundational model. BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies.

Abdallah said that using BrainLM will cut costs significantly for scientists developing treatments for brain disorders. In clinical trials, it can cost “hundreds of millions of dollars,” he said, to enroll numerous patients and treat them over a significant time period. By using BrainLM, researchers can enroll half the subjects because the AI can select the individuals most likely to benefit.

The team found that BrainLM performed successfully in many different samples. That included predicting depression, anxiety and PTSD severity better than other machine learning tools that do not use generative AI.

“We found that BrainLM is performing very well. It is predicting brain activity in a new sample that was hidden from it during the training as well as doing well with data from new scanners and new population,” Abdallah says. “These impressive results were achieved with scans from 40,000 subjects. We are now working on considerably increasing the training dataset. The stronger the model we can build, the more we can do to assist with patient care, such as developing new treatment for mental illnesses or guiding neurosurgery for seizures or DBS.”

For those suffering from neurological and mental health disorders, BrainLM could be a key to unlocking treatments that will make a life-changing difference.

Researchers at Baylor College of Medicine’s Human Genome Sequencing Center have trained an AI assistant to explain genetic test results to patients. Photo via Getty Images

Houston researches tap into GenAI for communicating genetic test results

hi, tech

Artificial intelligence in the health care setting has a lot of potential, and one Houston institution is looking into one particular use.

Researchers at Baylor College of Medicine’s Human Genome Sequencing Center have trained an AI assistant to explain genetic test results to patients. According to findings published in the Journal of the American Medical Informatics Association (JAMIA), the team has developed generative AI to understand and interpret genetic tests. They have also tested its accuracy against Open AI’s ChatGPT 3.5.

“We created a chatbot that can provide guidance on general pharmacogenomic testing, dosage implications, and the side effects of therapeutics, and address patient concerns,” explains first author Mullai Murugan in a press release. Murugan is director of software engineering and programming at the Human Genome Sequencing Center. “We see this tool as a superpowered assistant that can increase accessibility and help both physicians and patients answer questions about genetic test results.”

The initial chatbot training specifically targeted pharmacogenomic testing for statins, meaning a patient’s potential response to cholesterol-lowering drugs, as dictated by genetics.

Murugan explains why they decided to create their own chatbot in the key publication on statin pharmacogenomics was published in May 2022, four months after the training cutoff date for ChatGPT 3.5 in January 2022. Alternatively, her team’s technology uses Retrieval Augmented Generation (RAG) and was trained on the most recent guidelines.

How did the two AI assistants compare? Four experts on cardiology and pharmacogenomics rated both chatbots based on accuracy, relevancy, risk management, and language clarity, among other factors. Though the AI scored similarly on language clarity, Baylor’s chatbot scored 85 percent in accuracy and 81 percent in relevancy compared to ChatGPT’s 58 percent in accuracy and 62 percent in relevancy when asked questions from healthcare providers.

“We are working to fine-tune the chatbot to better respond to certain questions, and we want to get feedback from real patients,” Murugan says. “Based on this study, it is very clear that there is a lot of potential here.” Nonetheless, Murugan emphasized that there is much work still to be done before the program is ready for clinical applications. That includes training the chatbot to explain results in the language used by genetic counselors. Funds from the NIH’s All of Us Research Program helped to make the research possible.

There are three topics in particular that business owners should refresh and/or make sure they include in their HR policies and employee handbook. Photo via Getty Images

3 things Houston companies need to freshen up when it comes to their HR practices

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Just as we typically look to freshen up our homes this time of year, the same needs to be done for employee handbooks. Employee handbooks streamline HR operations, mitigate risks and set expectations to protect a business from negative workplace behavior by outlining employee policies and procedures.

There are three topics in particular that business owners should refresh and/or make sure they include in their HR policies and employee handbook: in-office attendance, social media and artificial intelligence (AI).

In-office attendance

When taking a closer look at hybrid workplace policies, the in-office attendance policies should align with your organizational goals. Whether you decide to implement hybrid work permanently or eventually return to being in the office completely, the return-to-office (RTO) policies should reflect those goals.

Clear expectations are especially important when defining office attendance rules. When attendance policies are set, employees respond best when they are fair, accessible and easily understood. Detailed policies outlining the nuances and consequences can help reduce noncompliance while supporting accountability.

Policies need consistent enforcement for them to be effective. Hybrid policies set prior to or during the pandemic may now be loosely enforced. The policies may state for employees to be in the office three days a week, but there may be no accountability for not meeting the mandate. Not enforcing attendance policies can give the impression that it is okay to violate other policies, too. Reviewing your policies allows you to course correct and write a policy reflecting your corporate culture and goals. You’ll then be able to reintroduce the attendance policy and enforce it across the board as intended.

Social media

You are hard pressed to find an employee without a social media account, whether it is TikTok or LinkedIn. If your business does not have a social media policy with guidelines surrounding employees’ online behaviors, now is the time to put one in place. If you do have a policy, social media changes quickly enough to warrant an annual review.

Social media policies should set boundaries between personal and professional use of social media. Employee activity on social media outside of work can influence business, as employees are often seen as reflecting the company. It is also important to note that social media policies should be based on input from senior management, HR, legal and IT, not just marketing.

The social media policy should delineate between an employee’s personal and professional use, establish a code of conduct and outline its use as part of crisis communications. Social media can just as easily elevate your brand, and you can potentially ask employees to share positive work experiences online.

Cybersecurity should also be addressed in social media policies. As it has become more common for hackers to infiltrate personal emails and social media accounts, policies can prohibit employees from storing company documents in their personal social media and email accounts for security purposes.

Artificial Intelligence (AI)

AI seems to be changing the way we do business daily. However, the policies surrounding company use of AI are lacking at many organizations. Research from McKinsey states only one in five employers have established policies governing their employees use of AI.

AI technology has already streamlined many business practices, but it can also present major risks. Inaccuracy can threaten your business if employees use generative AI for assistance in completing writing tasks, for instance, and the system may not generate accurate or original information.

As we learn the evolving and complex nuances of AI, creating a policy needs careful attention. You may consider developing an AI team to write a comprehensive, well-researched AI policy tailored to your organization. This working group should gather insights from leaders within the organization, including frontline managers, to fully understand how employees use, or might use, AI. This team should be charged with considering the ethical aspects of AI’s use and ensuring the policy aligns with company values.

One of the most critical elements of the policy is an accountability process or system. The policy should clearly outline any corrective action or disciplinary steps associated with using AI in a manner that harms the business and/or its clients. Just as important, the policy should outline how to use and how to avoid misusing AI. Since AI continues to evolve month to month, this is a policy that will require more attention and revisioning throughout the year.

Keeping a critical eye on HR policies is an important part of business success. Setting aside time to review, update and even create new policies now – before being faced with an issue – can potentially mitigate costly challenges down the road.

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Karen Leal is performance specialist with Houston-based Insperity, a provider of human resources offering a suite of scalable HR solutions available in the marketplace.

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Rice Business Plan Competition awards $1.4M to 2026 student teams

winner, winners

Editor's note: This article has been updated to correct the total amount of investment and cash prizes awarded at the RBPC.

Another team from the Great Lakes State took home top honors and investments at this year's Rice Business Plan Competition.

BRCĒ, a material-tech startup from Michigan State University, took home the top-place finish and the largest investment total at the annual Houston event. It has developed Lattice-Grip technology to create utility-based polymers that can replace traditional fabric. The materials are stronger, fire-resistant and more stable than traditional textiles, according to the company. Last year, the University of Michigan's Intero Biosystems won first-place finish and the largest investment total of $902,000.

In total, the RBPC doled out more than $1.4 million in investment and cash prizes, according to Rice. Over the three-day event, held April 9-11, the 42 competing startups presented their business plans to 300 angel, venture capital and corporate investors. Seven finalists were selected and each competing startup received at least $950 in prizes for placement in the competition.

Three Texas teams, including one from Houston, were named among the finalists. Here's who won big this year.

BRCĒ, Michigan State University — $571,500

The recent Shark Tank alum finished in first place for its utility-based polymers technology.

$200,000 Goose Capital Investment Grand Prize
$100,000 The OWL Investment Prize
$100,000 Houston Angel Network Investment Prize
$75,000 The Indus Entrepreneurs (TiE) Texas Angels Investment Prize
$50,000 nCourage Investment Network’s Courageous Women Entrepreneur Investment Prize
$25,000 New Climate Ventures Sustainable Investment Prize
$20,000 Aramco Innovator Cash Prize
$1,000 Anbarci Family Company Showcase Prize
$500 Mercury Fund Elevator Pitch Competition Prize – Consumer Hard Tech

Legion Platforms, Arizona State University — $425,500

The startup won second place for its multiplayer gaming platform that can be accessed with slow internet speeds.

$100,000 Anderson Family Fund & Finger Interests Second Place Investment Prize
$200,000 Goose Capital Investment Prize
$100,000 The OWL Investment Prize
$25,000 Pearland EDC Spirit of Entrepreneurship Cash Prize
$500 Mercury Fund Elevator Pitch Competition Prize – Consumer

Imagine Devices, University of Texas at Austin — $101,000

The pediatric medical device company won third place for its multifunction neonatal feeding tube, known as Trinity Tube

$50,000 Anderson Family Fund & Finger Interests Third Place Investment Prize
$25,000 Pearland EDC Spirit of Entrepreneurship Cash Prize
$25,000 The Eagle Investors Investment Prize
$1,000 Anbarci Family Company Showcase Prize

Altaris MedTech, University of Arkansas – $6,000

The startup won fourth place for its pain-free strep test.

$5,000 Norton Rose Fulbright Fourth Place Prize
$1,000 Mercury Fund Elevator Pitch Competition Prize — Overall Winner

Routora, University of Notre Dame & University of Texas at Austin – $5,500

The team won fifth place for its route optimization app that works to reduce fuel costs, travel time and carbon emissions

$5,000 Chevron Fifth Place Prize
$500 Mercury Fund Elevator Pitch Competition Prizes — Digital

DialySafe, Rice University — $5,500

The startup won sixth place for its technology that aims to make at-home peritoneal dialysis simpler and safer.

$5,000 ExxonMobil Sixth Place Prize
$500 Mercury Fund Elevator Pitch Competition Prizes — Life Science

Arrow Analytics, Texas A&M University – $6,000

The startup won seventh place for its AI-powered sizing system for carry-on baggage.

$5,000 Shell Ventures Seventh Place Prize
$1,000 Anbarci Family Company Showcase Prizes

Other significant prizes included:

BiliRoo, University of Michigan – $26,000

$25,000 Southwest National Pediatric Device Consortium Pediatric Device Cash Prize
$1,000 Anbarci Family Company Showcase Prizes

BeamFeed, City University of New York – $25,000

$25,000 Amentum and WRX Companies Rising Stars Space Technology and Commercial Aerospace Cash Prize

Grapheon, University of Pittsburgh — $20,000

$20,000 Aramco Innovator Cash Prize

Last year, the Rice Business Plan Competition facilitated over $2 million in investment and cash prizes. According to Rice, more than 910 startups have raised more than $6.9 billion in capital through the competition over the last 25 years.

See a full list of this year's winners and stream rounds from the competition here.

Here's the income it takes to live comfortably in Houston in 2026

Money Talk

2026 report analyzing how much it costs to live "in sustainable comfort" in the biggest U.S. cities has found Houston residents have the 11th lowest salary requirement to live a comfortable life in 2026.

SmartAsset's annual report found single adult residents in Houston need to make $89,981 a year to qualify as "financially stable." Compared to last year, single Houstonians needed to make $83 more to live comfortably in the city.

Families with two working parents and two children need to make a household income of $204,672 to have a financially stable life in Houston, the report found. That's almost $2,000 less than what families needed to make last year.

To determine the rankings, SmartAsset's analysts examined 100 of the largest U.S. cities and used the latest cost of living data – such as the costs for housing, food, transportation, and income taxes where applicable – from the MIT Living Wage Calculator for childless individuals and for two working adults with two children.

For the purpose of the study, the 50/30/20 budgeting strategy was used to determine "comfortable lifestyle" costs for both individuals and families: 50 percent of income to cover needs and living expenses, 30 percent for "wants," and 20 percent for savings or paying down debt.

Here's breakdown of a Houston resident's comfortable lifestyle based on SmartAsset's findings:

$44,991 dedicated to needs and living expenses
$26,994 dedicated to wants
$17,996 dedicated to savings or debt repayment

This is SmartAsset's interpretation of a comfortable lifestyle for families of four:

$102,336 dedicated to needs and living expenses
$61,402 dedicated to wants
$40,934 dedicated to savings or debt repayment

SmartAsset said single individuals and families should compare the fluctuating local cost of living and their long-term goals to fully "understand the context" of their respective household incomes. But it's worth pointing out that a financially stable life in Houston isn't quite attainable for many residents: The city had a median household income of $64,361 in 2024, according to the U.S. Census Bureau.

Comfortable salaries in other Texas cities

Elsewhere in Texas, the report found that families in the Dallas-Fort Worth suburbs Frisco and McKinney "are closest to a comfortable salary."

"In Frisco, the median household earns $145,444 – substantially higher than the national median of $83,730," the report's author wrote. "This figure also accounts for 63.1 percent of the $230,464 income a family of four in Frisco needs to live comfortably. In McKinney, TX, the $124,177 median household income accounts for 53.9 percent of the $230,464 needed."

Both cities also tied with Plano for the 29th highest salary needed nationally to live comfortably in 2026. Single adults living in these cities need to make $109,242 a year to live a financially stable life this year.

On the opposite end, San Antonio has the lowest salaries needed to live comfortably in the U.S. Single adults only need to make $83,242 a year, and $192,608 for families of four.

Houston medtech startup clears FDA approval for new surgical tool

precision surgery

Houston-based Prana Surgical will soon bring a new electrosurgical tool to operating rooms around the country. The Prana System officially cleared U.S. Food and Drug Administration (FDA) approval earlier this month.

"Receiving FDA clearance for the Prana System represents a defining milestone for our company," Joanna Nathan, CEO and co-founder of Prana Surgical, said in a news release. "Surgeons today are increasingly focused on achieving precise outcomes while minimizing disruption to healthy tissue. The Prana System was designed to support that shift by integrating targeting and excision into a single, streamlined tool."

Prana Surgical began as Prana Thoracic in 2022. Back then, the company primarily focused on developing screening tools for lung cancer diagnosis. It raised $6 million in series A funding rounds in 2023 and 2024 before transitioning to broader surgical needs in 2025.

The Prana System is a minimally invasive, image-guided, single-use tissue extraction tool designed to retrieve samples without damaging healthy tissue. The tool is still designed with the respiratory system in mind, helping Prana in the fight against lung cancer and other thoracic diseases.

Reducing the impact of tissue extraction via electrosurgery and enhanced image scanning can significantly reduce complications. The Prana System combines localization and tissue-cutting capabilities in one, which keeps surgeons from having to swap out components during a procedure, making for a smoother process. It can core, cut and feel blood vessels on the way toward the intended target, giving surgeons greater control over tissue preservation.

"Electrosurgery is foundational to modern surgery, but there is still opportunity to improve how energy-based tools are applied in minimally invasive settings," Nathan added. "Our goal is to introduce a new class of image-guided surgical tools that enable more precise intervention across a range of procedures."

The company projects sales of $7.5 billion from the Prana System in the United States, estimating that 2.5 million surgical modules will be able to use the new tool. While starting out focused on biopsies, the company plans to evolve the system into other procedures, such as ablation, in the future. It is also planning for a controlled U.S. clinical rollout as it moves toward commercialization

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