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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Meet 6 mentors who are helping the Houston startup scene flourish

meet the finalists

Few founders launch successful startups alone — experienced and insightful mentors often play an integral role in helping the business and its founders thrive.

The Houston startup community is home to many mentors who are willing to lend an ear and share advice to help entrepreneurs meet their goals.

The Mentor of the Year category in our 2025 Houston Innovation Awards will honor an individual like this, who dedicates their time and expertise to guide and support budding entrepreneurs. The award is presented by Houston City College Northwest.

Below, meet the six finalists for the 2025 award. They support promising startups in the medical tech, digital health, clean energy and hardware sectors.

Then, join us at the Houston Innovation Awards this Thursday, Nov. 13 at Greentown Labs, when the winner will be unveiled. The event is just days away, so secure your seats now.

Anil Shetty, InformAI

Anil Shetty serves as president and chief medical officer for biotech company Ferronova and chief innovation officer for InformAI. He's mentored numerous medical device and digital health companies at seed or Series A, including Pathex, Neurostasis, Vivifi Medical and many others. He mentors through organizations like Capital Factory, TMC Biodesign, UT Venture Mentoring, UTMB Innovation and Rice's Global Medical Innovation program.

"Being a mentor means empowering early-stage innovators to shape, test, and refine their ideas with clarity and purpose," Shetty says. "I’m driven by the opportunity to help them think strategically and pivot early before resources are wasted. At this critical stage, most founders lack the financial means to bring on seasoned experts and often haven’t yet gained real-world exposure. Mentorship allows me to fill that gap, offering guidance that accelerates their learning curve and increases the chances of meaningful, sustainable impact."

Jason Ethier, EnergyTech Nexus

Jason Ethier is the founding partner of EnergyTech Nexus, through which he has mentored numerous startups and Innovation Awards finalists, including Geokiln, Energy AI Solutions, Capwell Services and Corrolytics. He founded Dynamo Micropower in 2011 and served as its president and CEO. He later co-founded Greentown Labs in Massachusetts and helped bring the accelerator to Houston.

"Being a mentor means using my experience to help founders see a clearer path to success. I’ve spent years navigating the ups and downs of building companies, struggling with cash flow, and making all the mistakes; mentoring gives me the chance to share those lessons and show entrepreneurs the shortcuts I wish I’d known earlier," Ethier says. "At Energytech Nexus, that role goes beyond just helping individual founders — it’s about creating a flywheel effect for Houston’s entire innovation ecosystem."

Jeremy Pitts, Activate Houston

Jeremy Pitts serves as managing director of Activate Houston, which launched in Houston last year. He was one of the founders of Greentown Labs in the Boston area and served in a leadership role for the organization between 2011 and 2015. Through Activate, he has mentored numerous impactful startups and Innovation Awards finalists, including Solidec, Coflux Purification, Bairitone Health, Newfound Materials, Deep Anchor Solutions and others.

"Being a mentor to me is very much about supporting the person in whatever they need. Oftentimes that means supporting the business—providing guidance and advice, feedback, introductions, etc," But just as important is recognizing the person and helping them with whatever challenges they are going through ... Sometimes they need a hype man to tell them how awesome they are and that they can go do whatever hard thing they need to do. Sometimes they just need an empathetic listener who can relate to how hard these things are. Being there for the person and supporting them on their journey is key to my mentorship style."

Joe Alapat, Liongard

Joe Alapat founded and serves as chief strategy officer at Houston software company Liongard and chief information officer at Empact IT, which he also owns. He mentors through Founder Fridays Houston Group, Software Day by Mercury Fund, SUPERGirls SHINE Foundation, Cup of Joey and at the Ion. He's worked with founders of FlowCare, STEAM OnDemand, Lokum and many other early stage startups.

"Being a mentor to me means unleashing an individual’s 10x—their purpose, their ikigai (a Japanese concept that speaks to a person’s reason for being)," Alapat says. "Mentoring founders in the Houston community of early stage, high-growth startups is an honor for me. I get to live vicariously through a founder’s vision of the future. Once they show me that compelling vision, I’m drawn to bring the future forward with them so the vision becomes reality with a sense of urgency."

Neal Dikeman, Energy Transition Ventures

Neal Dikeman serves as partner at early stage venture fund Energy Transition Ventures, executive in residence at Greentown Labs, and offices in and supports Rice Nexus at the Ion. He mentors startups, like Geokiln, personally. He also mentored Helix Earth through Greentown Labs. The company went on to win in the Smart Cities, Transportation & Sustainability contest at SXSW earlier this year. Dikeman has helped launch several successful startups himself, most recently serving on the board of directors for Resilient Power Systems, which was acquired by Eaton Corp for $150 million.

"Founders have to find their own path, and most founders need a safe space where they can discuss hard truths outside of being 'on' in sales mode with their team or board or investors, to let them be able to work on their business, not just in it," Dikeman says.

Nisha Desai, Intention

Nisha Desai serves as CEO of investment firm Intention and mentors through Greentown Labs, TEX-E, Open Minds, the Rice Alliance Clean Energy Accelerator, Avatar Innovations and The Greenhouse. She currently works with founders from Solidec, Deep Anchor Solutions, CLS Wind and several other local startups, several of which have been nominated for Innovation Awards this year. She's served a board member for Greentown Labs since 2021.

"When I first started mentoring, I viewed my role as someone who was supposed to prevent the founder from making bad decisions. Now, I see my role as a mentor as enabling the founder to develop their own decision-making capability," Desai says. "Sometimes that means giving them the space to make decisions that might be good, that might be bad, but that they can be accountable for. At the end of the day, being a mentor is like being granted a place on the founder's leadership development journey, and it's a privilege I'm grateful for."

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The Houston Innovation Awards program is sponsored by Houston City College Northwest, Houston Powder Coaters, FLIGHT by Yuengling, and more to be announced soon. For sponsorship opportunities, please contact sales@innovationmap.com.

Rice, Houston Methodist developing soft 'sleep cap' for brain health research

Researchers and scientists at Rice University and Houston Methodist are developing a “sleep cap” that aims to protect the brain against dementia and other similar diseases by measuring and improving deep sleep.

The project is a collaboration between Rice University engineering professors Daniel Preston, Vanessa Sanchez and Behnaam Aazhang; and Houston Methodist neurologist Dr. Timea Hodics and Dr. Gavin Britz, director of the Houston Methodist Neurological Institute and chairman of the Department of Neurosurgery.

According to Rice, deep sleep is essential for clearing waste products from the brain and nightly “cleaning cycles” help remove toxic proteins. These toxic proteins, like amyloids, can accumulate during the day and are linked to Alzheimer’s disease and other neurological issues.

Aazhang, director of the Rice Neuroengineering Initiative, and his team are building a system that not only tracks the brain’s clearing process but can also stimulate it, improving natural mechanisms that protect against neurodegeneration.

Earlier proof-of-concept versions of the caps successfully demonstrated the promise of this approach; however, they were rigid and uncomfortable for sleep.

Preston and Sanchez will work to transform the design of the cap into a soft, lightweight, textile-based version to make sleep easier, while also allowing the caps to be customizable and tailored for each patient.

“One of the areas of expertise we have here at Rice is designing wearable devices from soft and flexible materials,” Preston, an assistant professor of mechanical engineering, said in a news release. “We’ve already shown this concept works in rigid device prototypes. Now we’re building a soft, breathable cap that people can comfortably wear while they sleep.”

Additionally, the research team is pursuing ways to adapt their technology to measure neuroinflammation and stimulate the brain’s natural plasticity. Neuroinflammation, or swelling in the brain, can be caused by injury, stroke, disease or lifestyle factors and is increasingly recognized as a driver of neurodegeneration, according to Rice.

“Our brain has an incredible ability to rewire itself,” Aazhang added in the release. “If we can harness that through technology, we can open new doors for treating not just dementia but also traumatic brain injury, stroke, Parkinson’s disease and more.”

The project represents Rice’s broader commitment to brain health research and its support for the Dementia Prevention Research Institute of Texas (DPRIT), which passed voter approval last week. The university also recently launched its Rice Brain Institute.

As part of the project, Houston Methodist will provide access to clinicians and patients for early trials, which include studies on patients who have suffered traumatic brain injury and stroke.

“We have entered an era in neuroscience that will result in transformational cures in diseases of the brain and spinal cord,” Britz said in the release. “DPRIT could make Texas the hub of these discoveries.”

Autonomous truck company with Houston routes goes public

on a roll

Kodiak Robotics, a provider of AI-powered autonomous vehicle technology, has gone public through a SPAC merger and has rebranded as Kodiak AI. The company operates trucking routes to and from Houston, which has served as a launchpad for the business.

Privately held Kodiak, founded in 2018, merged with a special purpose acquisition company — publicly held Ares Acquisition Corp. II — to form Kodiak AI, whose stock now trades on the Nasdaq market.

In September, Mountain View, California-based Kodiak and New York City-based Ares disclosed a $145 million PIPE (private investment in public equity) investment from institutional investors to support the business combo. Since announcing the SPAC deal, more than $220 million has been raised for the new Kodiak.

“We believe these additional investments underscore our investors’ confidence in the value proposition of Kodiak’s safe and commercially deployed autonomous technology,” Don Burnette, founder and CEO of Kodiak, said in a news release.

“We look forward to leading the advancement of the commercial trucking and public sector industries,” he added, “and delivering on the exciting value creation opportunities ahead to the benefit of customers and shareholders.”

Last December, Kodiak debuted a facility near George Bush Intercontinental/Houston Airport for loading and loading driverless trucks. Transportation and logistics company Ryder operates the “truckport” for Ryder.

The facility serves freight routes to and from Houston, Dallas and Oklahoma City. Kodiak’s trucks currently operate with or without drivers. Kodiak’s inaugural route launched in 2024 between Houston and Dallas.

One of the companies using Kodiak’s technology is Austin-based Atlas Energy Solutions, which owns and operates four driverless trucks equipped with Kodiak’s driver-as-a-service technology. The trucks pick up fracking sand from Atlas’ Dune Express, a 42-mile conveyor system that carries sand from Atlas’ mine to sites near customers’ oil wells in the Permian Basin.

Altogether, Atlas has ordered 100 trucks that will run on Kodiak’s autonomous technology in an effort to automate Atlas’ supply chain.