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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Planned KBR spinoff scores $1B NOAA deal for extreme weather forecasting

weather watch

Amid a major spinoff, Houston-based KBR's Mission Technology Solutions business has been awarded a five-year contract for up to $1.1 billion from NOAA’s National Weather Service to help predict and combat extreme weather conditions.

Under the follow-on Commercial Data Program National Mesonet Program (CDP NMP) contract, KBR will provide weather and observational data from commercial stations, university and research campuses, and other non-federal providers nationwide. The information collected will assist in predicting severe temperatures and high-impact weather conditions like extreme storms.

"This award underscores KBR's proven track record of delivering vital data that strengthens national forecasting capabilities," Todd May, KBR’s senior vice president of Mission Technology Solutions, said in a news release.

According to a separate release from NOAA, the contract expands upon KBR's existing relationship with the agency. KBR will work with about 70 private industry partners on services such as data recording, collection, aggregation and processing, and will lead the CDP NMP's "network of networks."

“NOAA gathers environmental information from a wide variety of sources, and a growing list of private industry partners have joined our agency to collect this vital data,” Ken Graham, director of NOAA’s National Weather Service, said in the release. “This agreement streamlines the process that turns raw data into the gold-standard forecasts that Americans depend on.”

KBR will utilize its Speed to Mission ImpactSM technology for the project to supply data from across regions, measurement types, and system configurations. Both KBR and NOAA say the expanded data collection contract will help the agency create more accurate and timely forecasts, particularly for severe weather and extreme events, while also creating a path for new weather-observation technologies.

KBR has supported the CDP NMP for more than 9 years. The program will be managed in Greenbelt, Maryland.

"We're driving expanded integration of commercial sensor and data sources into this platform and are honored to know our work helps forecasters give their communities earlier warnings and more time to prepare for dangerous weather,” May added in a release.

KBR’s Mission Technology Solutions business will be rebranded as Trinzic after its planned spin-off, the company announced last month. The spin-off is expected to close in January 2027.

Trinzic will work as an independent, publicly traded company focused on technology and engineering services for the space and national security sector. KBR will remain a separate publicly traded company that will focus on sustainable technology and services to support the energy transition.

This is the salary required to live comfortably in Texas in 2026

Money Matters

A new national report looking at the income it takes to live comfortably in each of the 50 states has revealed Texans need to earn slightly less now than a year ago.

SmartAsset analyzed what a single individual, as well as family of four, must earn to cover minimum basic needs adjusted using the 50/30/20 budgeting rule. The resulting estimate represents the annual, pre-tax income needed to live comfortably in every U.S. state.

A single, full-time worker needs to make $90,563 to live comfortably in the Lone Star State, the report found, which is down a meager 0.2 percent from last year ($90,771).

Under the 50/30/20 budgeting strategy, that means a single Texas earner would have $45,282 to spend on necessities like housing and utilities, $27,169 for discretionary spending, and $18,113 for emergencies or retirement savings.

Texas ranked 34th nationally in SmartAsset's list of states with the highest income needed for a single adult to live "in sustainable comfort" in 2026. Only five other states — Tennessee, Maryland, Louisiana, North Carolina, and Mississippi — saw a decline in the income needed to live comfortably this year.

For a family of four to live comfortably in Texas, income requirements change significantly, according to the findings. To support a two-child household, a family needs $203,424 in combined total household income to be considered financially stable. This is down slightly from 2025, when SmartAsset reported a family of four in needed $204,922 to live comfortably in Texas.

This is a comfortable lifestyle for a family of four in Texas, according to the report:

  • $101,712 dedicated to necessities and living expenses
  • $61,027 dedicated to discretionary spending
  • $40,685 dedicated to emergencies, savings, or debt repaymen

According to the report, a family of four now needs to make at least $200,000 to live comfortably in 40 U.S. states, a figure that is far out of reach for many American families.

"As housing, grocery, transportation and other essential costs pressure household budgets, earning a six-figure salary no longer guarantees financial comfort in much of the U.S.," the report said. "A single adult now needs at least $80,000 a year to live comfortably in every state, while the threshold exceeds $100,000 in nearly half of states. For a family of four, the income needed to live comfortably is as much as $329,000."

Still, earning the minimum income to live comfortably in Texas doesn't guarantee financial stability in the Lone Star State's major cities. Earlier this year, SmartAsset determined single residents in Houston need to make about $90,000 to qualify as financially stable, while families of four need around $205,000.

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This article originally appeared on CultureMap.com.

Texas is the 7th hardest working state in America for 2026, says report

Labor Day Report

Texans pride themselves on being industrious, and a new report has confirmed Texas as one of the 10 most hardworking states in America in 2026.

The Lone Star State claimed the No. 7 spot this year in a slight dip from its 2025 ranking, where it appeared in the top five. Texas last ranked 7th in 2024, but the state has consistently appeared among the top 10 for nearly a decade.

WalletHub determined the rankings after analyzing 10 "direct" and "indirect" work factors across all 50 states, and then graded each metric on a 100-point scale, where a score of 100 signified the "hardest working." Analysts then examined each state’s weighted average across all metrics to calculate its overall score and used the resulting scores to rank-order the states.

There was only a 10.32-point difference between Texas and South Dakota, who claimed the top spot as America's hardest working state in 2026 with a score of 64.59 out of a possible 100 points.

Texas ranked 6th nationally in the "direct" work factors category, which examined the following six metrics:

  • The state's average workweek hours.
  • Employment rates.
  • The share of households where no adults work.
  • The share of workers leaving vacation time unused.
  • The share of "engaged" workers — those that are "involved in, enthusiastic about, and committed to their work and workplace," as defined by Gallup.
  • The rate of "idle youth" — individuals aged 18-24 who are not currently enrolled in school, not working, and have no degree beyond a high school diploma or GED.

Texas ties with Louisiana for the second highest average workweek hours nationwide, with Alaska topping the list with the No. 1 longest workweeks in America. Alaska is the only state where workers clock in more than 40 hours per week at their jobs, with WalletHub reporting Alaskans work 41.4 hours on average weekly.

In the "indirect" work factors category — which encompassed workers' average commute times, the share of workers with multiple jobs, annual volunteer hours per resident, and the average leisure time spent per day — Texas ranked 36th nationwide.

Here's how WalletHub ranked Texas in three individual metrics:

  • No. 10 – Average commute times
  • No. 20 – Average leisure time spent per day
  • No. 30 – Employment rates

According to the World Economic Forum, Americans clock in about 1,800 hours at work per year on average, which is 468 more hours per year than workers in Germany. And many are leaving vacation time on the table, WalletHub says.

"Even when given the chance to take time off, many Americans won’t, as nearly half of workers don't expect to use all of their allotted vacation days," the report said. "It is possible to work hard without overdoing it, though. Hard work is key to success, and the residents of some states understand that better than others."

Hardest-Working States in America


The top 10 hardest working states in America in 2026 are:

  • No. 1 – South Dakota
  • No. 2 – North Dakota
  • No. 3 – Alaska
  • No. 4 – Hawaii
  • No. 5 – Wyoming
  • No. 6 – Nebraska
  • No. 7 – Texas
  • No. 8 – New Hampshire
  • No. 9 – Tennessee
  • No. 10 – Georgia
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This article originally appeared on CultureMap.com.