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.

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

guest column

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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Houston ranks among 15 U.S. hot spots for women in tech

Ranking It

Houston is soaring among the best places in the U.S. for women in tech, a new report says. Houston ranked No. 15 nationwide in SmartAsset's new report, "Best and Worst Cities for Women in Tech — 2026 Study," which compared the 50 biggest U.S. cities across four metrics:

  • Gender pay gap — women's median earnings as a percentage of men’s median earnings in tech
  • The share of all tech workers that are women
  • The overall concentration of employment for tech workers, defined as "tech workers as a share of the local workforce"
  • Women tech workers’ median earnings, adjusted for regional price parity
For the purpose of the study, tech workers are defined as "city residents employed in computer and mathematical occupations." The study's findings show that fewer than 9,500 tech workers in Houston are women, or 25.6 percent of the total tech workforce in the city. In total, tech workers in general make up less than 3 percent of the Houston workforce.Despite the high ranking, women tech workers in Houston have a sizeable gap to cross to receive equal pay compared to their male counterparts in the same industry. Women tech workers make just over $97,000 in median earnings after adjusting for regional price parity, which is only 93 percent of what male tech workers make, SmartAsset found.

There are only two U.S. cities where women in tech earn more than what their male counterparts: Miami and Memphis, Tennessee. Women tech workers in Miami make an adjusted $88,650 in median earnings, or 101.7 percent of what men in tech make. In Memphis, women make $84,718 in adjusted earnings, or 101.5 percent of what men in tech earn.

The findings also assert that women remain underrepresented in the nation's overall tech sector, despite making up nearly half of the total workforce. Only 22.6 percent of the country's tech labor force is made up of women, according to the Equal Employment Opportunity Commission."Opportunities for women in tech can vary considerably by location, and these differences shape access to jobs, career advancement and earning potential," the report's author wrote. "In some places, women account for a larger share of tech workers, face narrower pay gaps and enjoy a stronger local labor market. In others, they may encounter a more challenging career environmentThe six other Texas cities that earned spots in the report are Austin (No. 6), Fort Worth (No. 26), Dallas (No. 32), Arlington (No. 38), San Antonio (No. 42), and El Paso (No. 49).

The top 10 best U.S. cities for women in tech are:

  • No. 1 – San Jose, California
  • No. 2 – Seattle, Washington
  • No. 3 – San Francisco, California
  • No. 4 – Atlanta, Georgia
  • No. 5 – Baltimore, Maryland
  • No. 6 – Austin, Texas
  • No. 7 – Oakland, California
  • No. 8 – Portland, Oregon
  • No. 9 – Boston, Massachusetts
  • No. 10 – Minneapolis, Minnesota
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This article first appeared on CultureMap.com.

5 female-founded Houston startups shine as Innovation Awards finalists

meet the finalists

Houston is home to many standout female founders, making inroads and breakthroughs in every industry.

As part of the 2026 Houston Innovation Awards, our Female-founded Business category honors women-led startups that are shaping Houston innovation.

Five female-founded businesses have been named finalists for the 2026 award. This year's finalists, selected by our esteemed panel of judges, range from an AI startup for C-Suite execs to a company developing semi-autonomous crawler robots for corrosion detection.

Read more about these innovative startups and the visionary female founders behind them below. The 2026 winners will be announced on InnovationMap.com in mid-November.

Adair

Artificial intelligence startup Adair uses computational linguistics and behavioral economics to measure, model and quantify the impact of spoken and written language on firm valuation and stock prices. The company works with C-Suite executives of public companies on high-stakes communications before they go live.

The company was founded last year by CEO Kathleen Perley, CPO Alex Duong and CTO Anthony Grivet. It raised $5.6 million earlier this year, according to its application.

ARIX Technologies

Energytech startup ARIX Technologies has developed a semiautonomous VENUS crawler robot to detect corrosion under insulation before it becomes a failure. The robots climb insulated piping in refineries, chemical plants and energy facilities to capture inspection data without removing insulation or building scaffolding. ARIX's inspection portal then turns information from the inspection into data a company can act on.

ARIX was founded in 2017 by Dianna Liu, who serves as director, and Head of Product Petter Wehlin. Craig Malloy serves as CEO. The company has raised more than $22 million in seed funding and a Series A round, according to its application.

Bairitone Health

Healthtech startup Bairitone Health is bringing anatomy imaging for sleep apnea to the home environment. The company's platform maps users' anatomy during natural sleep using a facial patch to determine the root cause of airway obstruction. It then offers effective therapies for each patient.

The company was founded in 2022 in the Texas Medical Center's Biodesign program by CEO Meagan Pitcher, CTO Onur Kilic and chief medical officer Britt Cross. It was a member of Activate Houston's inaugural cohort and has participated in numerous accelerators and incubators. The company raised an oversubscribed seed round for $2.4 million earlier this year and received Breakthrough Device Designation from the Food and Drug Administration in April.

FlowCellutions

Energytech startup FlowCellutions is developing a chemistry-agnostic diagnostics platform for flow and metal-air batteries supporting data centers and critical infrastructure. The platform is designed to help reduce operating costs, prevent failures and costly downtime, and extend battery lifetime from approximately seven years to more than 30 years. It has deployed four paid pilots and plans to take insights from the programs to develop its next-gen sensor platform technology.

CEO Becca Segel founded the company in 2022. It is a member of Greentown Labs, and Segel was a 2025 Activate Fellow. The company has raised over $2 million in non-dilutive funding and received a $1.5 million NSF SBIR Fast-Track award earlier this year.

ParaDocs Health

Healthtech startup ParaDocs Health is developing a clinical intelligence platform that helps doctors and care teams streamline administrative tasks and make better use of patient records. Its technology organizes fragmented clinical data into actionable insights, helping care teams identify gaps in care, assess patient risks and simplify documentation and reimbursement.

ParaDocs was founded in 2022 by CEO Dr. Dhini Nasution and CTO Dr. Omar Mohtar. The company participated in the TMCi Biodesign Program and raised a preseed round last year, according to its application.