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

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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Intuitive Machines forms partnership with Italian companies for lunar exploration services

to the moon

Houston-based space technology, infrastructure and services company Intuitive Machines has forged a partnership with two Italian companies to offer infrastructure, communication and navigation services for exploration of the moon.

Intuitive Machines’ agreement with the two companies, Leonardo and Telespazio, paves the way for collaboration on satellite services for NASA, a customer of Intuitive Machines, and the European Space Agency, a customer of Leonardo and Telespazio. Leonardo, an aerospace, defense and security company, is the majority owner of Telespazio, a provider of satellite technology and services.

“Resilient, secure, and scalable space infrastructure and space data networks are vital to customers who want to push farther on the lunar surface and beyond to Mars,” Steve Altemus, co-founder and CEO of Intuitive Machine, said in a news release.

Massimo Claudio Comparini, managing director of Leonardo’s space division, added that the partnership with Intuitive Machines is a big step toward enabling human and robotic missions from the U.S., Europe and other places “to access a robust communications network and high-precision navigation services while operating in the lunar environment.”

Intuitive Machines recently expanded its Houston Spaceport facilities to ramp up in-house production of satellites. The company’s first satellite will launch with its upcoming IM‑3 lunar mission.

Intuitive Machines says it ultimately wants to establish a “center of space excellence” at Houston Spaceport to support missions to the moon, Mars and the region between Earth and the moon.

Houston hospitals win $50M grant for ibogaine addiction treatment research

ibogaine funding

The Texas Health and Human Services Commission has awarded $50 million to UTHealth Houston in collaboration with The University of Texas Medical Branch at Galveston (UTMB Health) to co-lead a multicenter research trial to evaluate the effect of ibogaine, a powerful psychoactive compound, on patients suffering from addiction, traumatic brain injury and other behavioral health conditions.

The funding will establish a two-year initiative—known as Ibogaine Medicine for PTSD, Addiction, and Cognitive Trauma (IMPACT)—and a consortium of Texas health institutions focused on clinical trials and working toward potential FDA-approved treatments.

The consoritum will also include Texas Tech University, Texas Tech University Health Sciences Center El Paso, The University of Texas at Austin, The University of Texas Health Science Center at San Antonio, The University of Texas at Tyler, The University of Texas Rio Grande Valley, Texas A&M University, The University of North Texas Health Science Center, Baylor College of Medicine and JPS Health Network in Dallas.

Ibogaine is a plant-based, psychoactive substance derived from the iboga shrub. Research suggests that the substance could be used for potential treatment for patients with traumatic brain injuries, which is a leading cause of post-traumatic stress disorders. Ibogaine has also shown potential as a treatment for addiction and other neurological conditions.

UTHealth and partners will focus on ways that ibogaine can treat addiction and associated conditions. Meanwhile, UT Austin and Baylor College of Medicine will concentrate on using it to treat traumatic brain injury, especially in veterans, according to a news release from the institutions.

The consortium will also support drug developers and teaching hospitals to conduct FDA-approved clinical trials. The Texas Health and Human Services Commission will oversee the grant program.

“This landmark clinical trial reflects our unwavering commitment to advancing research that improves lives and delivers the highest standards of care,” Dr. Melina Kibbe, UTHealth Houston president and the Alkek-Williams Distinguished Chair, said in the news release. “By joining forces with outstanding partners across our state, we are building on Texas’ tradition of innovation to ensure patients struggling with addiction and behavioral health conditions have access to the best possible outcomes. Together, we are shaping discoveries that will serve Texans and set a model for the nation.”

The consortium was authorized by the passage of Senate Bill 2308. The bill provides $50 million in state-matching funds for an ibogaine clinical trial managed by a public university in partnership with a drug company and a hospital.

“This is the first major step towards the legislature’s goal of obtaining FDA approval through clinical trials of ibogaine — a potential breakthrough medication that has brought thousands of America’s war-fighters back from the darkest parts of depression, anxiety, PTSD, and chronic addiction,” Texas Rep. Cody Harris added in the release. “I am excited to walk alongside UTHealth Houston and UTMB as these stellar institutions lead the nation in a first-of-its-kind clinical trial in the U.S.”

Recently, the University of Houston also received a $2.6 million gift from the estate of Dr. William A. Gibson to support and expand its opioid addiction research, which includes the development of a fentanyl vaccine that could block the drug's ability to enter the brain. Read more here.

Tesla no longer world's biggest EV maker as sales fall for second year

Tesla Talk

Tesla lost its crown as the world’s bestselling electric vehicle maker as a customer revolt over Elon Musk’s right-wing politics, expiring U.S. tax breaks for buyers and stiff overseas competition pushed sales down for a second year in a row.

Tesla said that it delivered 1.64 million vehicles in 2025, down 9% from a year earlier.

Chinese rival BYD, which sold 2.26 million vehicles last year, is now the biggest EV maker.

It's a stunning reversal for a car company whose rise once seemed unstoppable as it overtook traditional automakers with far more resources and helped make Musk the world's richest man. The sales drop came despite President Donald Trump's marketing effort early last year when he called a press conference to praise Musk as a “patriot” in front of Teslas lined up on the White House driveway, then announced he would be buying one, bucking presidential precedent to not endorse private company products.

For the fourth quarter, Tesla sales totaled 418,227, falling short of even the much reduced 440,000 target that analysts recently polled by FactSet had expected. Sales were hit hard by the expiration of a $7,500 tax credit for electric vehicle purchases that was phased out by the Trump administration at the end of September.

Tesla stock fell 2.6% to $438.07 on Friday.

Even with multiple issues buffeting the company, investors are betting that Tesla CEO Musk can deliver on his ambitions to make Tesla a leader in robotaxi services and get consumers to embrace humanoid robots that can perform basic tasks in homes and offices. Reflecting that optimism, the stock finished 2025 with a gain of approximately 11%.

The latest quarter was the first with sales of stripped-down versions of the Model Y and Model 3 that Musk unveiled in early October as part of an effort to revive sales. The new Model Y costs just under $40,000 while customers can buy the cheaper Model 3 for under $37,000. Those versions are expected to help Tesla compete with Chinese models in Europe and Asia.

For fourth-quarter earnings coming out in late January, analysts are expecting the company to post a 3% drop in sales and a nearly 40% drop in earnings per share, according to FactSet. Analysts expect the downward trend in sales and profits to eventually reverse itself as 2026 rolls along.

Musk said earlier last year that a “major rebound” in sales was underway, but investors were unruffled when that didn't pan out, choosing instead to focus on Musk's pivot to different parts of business. He has has been saying the future of the company lies with its driverless robotaxis service, its energy storage business and building robots for the home and factory — and much less with car sales.

Tesla started rolling out its robotaxi service in Austin in June, first with safety monitors in the cars to take over in case of trouble, then testing without them. The company hopes to roll out the service in several cities this year.

To do that successfully, it needs to take on rival Waymo, which has been operating autonomous taxis for years and has far more customers. It also will also have to contend with regulatory challenges. The company is under several federal safety investigations and other probes. In California, Tesla is at risk of temporarily losing its license to sell cars in the state after a judge there ruled it had misled customers about their safety.

“Regulatory is going to be a big issue,” said Wedbush Securities analyst Dan Ives, a well-known bull on the stock. “We're dealing with people's lives.”

Still, Ives said he expects Tesla's autonomous offerings will soon overcome any setbacks.

Musk has said he hopes software updates to his cars will enable hundreds of thousands of Tesla vehicles to operate autonomously with zero human intervention by the end of this year. The company is also planning to begin production of its AI-powered Cybercab with no steering wheel or pedals in 2026.

To keep Musk focused on the company, Tesla’s directors awarded Musk a potentially enormous new pay package that shareholders backed at the annual meeting in November.

Musk scored another huge windfall two weeks ago when the Delaware Supreme Court reversed a decision that deprived him of a $55 billion pay package that Tesla doled out in 2018.

Musk could become the world's first trillionaire later this year when he sells shares of his rocket company SpaceX to the public for the first time in what analysts expect would be a blockbuster initial public offering.

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