Experts Matter. Find Yours.

Fueling the Future of Cancer Immunotherapy: Gang Zhou’s Research Takes a Major Step Forward

Cancer immunotherapy has transformed how clinicians approach the treatment of certain blood cancers, but major limitations remain — especially when it comes to sustaining strong, long-lasting immune responses. Gang Zhou, PhD, a leading cancer immunologist at Augusta University’s Georgia Cancer Center and the Immunology Center of Georgia, is tackling these challenges head-on. Zhou’s work focuses on how T cells behave inside the body and how their performance can be enhanced to improve patient outcomes. His lab studies the forces that strengthen or weaken T cell responses, including their functional status, their ability to self-renew and the environmental pressures they face inside tumors. This deep understanding positions him as a key figure in the effort to advance next-generation immunotherapies. Recently, Zhou and his research team were awarded the first Ignite Grant from the Immunology Center of Georgia — a seed program designed to support bold, high-impact translational ideas. Their funded project aims to make CAR-T therapy more effective. CAR-T is a type of immunotherapy in which a patient’s own T cells are genetically modified to recognize and attack cancer cells. While this approach has revolutionized the treatment of certain blood cancers, it still faces obstacles such as limited cell persistence and reduced strength over time. “Our ultimate goal is to engineer T cells that not only survive longer but also remain highly functional, giving patients more durable protection against their disease.” Zhou’s team is addressing this issue by studying how a modified form of STAT5, a transcription factor that plays a key role in T cell survival and function, may help engineered T cells last longer and perform better. The ultimate goal is to create CAR-T therapies that maintain potency, withstand the harsh tumor microenvironment, and offer durable results for patients. The Ignite Grant recognizes not only the promise of this specific project, but also Zhou’s broader expertise in understanding how T cells can be guided, supported, and strengthened to fight cancer more effectively. His research contributes to a growing wave of scientific innovation aimed at improving immunotherapy outcomes for patients with both blood cancers and, potentially, solid tumors — an area where current treatments face significant barriers. As immunotherapy continues to evolve, the work led by Gang Zhou stands as a compelling example of how foundational science, translational research, and clinical ambition can work together to push the field forward. To connect with Dr. Gang Zhou - simply contact AU's External Communications Team mediarelations@augusta.edu to arrange an interview today.

Study: Lessons learned from 20 years of snakebites

The best way to avoid getting bitten by a venomous snake is to not go looking for one in the first place. Like eating well and exercising to feel better, the avoidance approach is fully backed by science. A new study from University of Florida Health researchers analyzed 20 years of snakebites cases seen at UF Health Shands Hospital in Gainesville. “This is the first time we’ve evaluated two decades of venomous snakebites here,” said senior author and assistant professor of medicine Norman L. Beatty, M.D., FACP. Researchers analyzed 546 de-identified patient records from 2002 to 2022 and highlighted notable conclusions — for instance, that a third of the snakebites analyzed were preventable and caused by people intentionally engaging with wild snakes. “Typically, people’s experiences with getting bitten are due to an interaction that was inadvertent — they stumble upon a snake or reach for something without seeing one camouflaged,” Beatty said. “In this case, people were seeking them out. There were a few individuals who were bitten on more than one occasion.” Most (77.8%) of the snakebites occurred in adult men while they were handling wild snakes, and most of the bites were perpetrated by the diminutive pygmy rattlesnake and the cottonmouth. The latter is named for the white lining of its mouth, which it displays when threatened. “I was less surprised to see those species emerge as some of the most common ones people were bitten by, but the robust presence of other, less common species in the data — like the eastern coral snake, southern copperhead, timber rattlesnake and the eastern diamondback rattlesnake, was interesting,” Beatty said. The eastern diamondback rattlesnake is one of the most venomous snakes in North America. Most patients were bitten on their hands and fingers and around 10% of them attempted outdated self-treatments no longer recommended by doctors — like sucking out the venom. Initially, the study began as a medical student research project, thanks to a handful of medical students who worked with Beatty to review the cases. The intention was to dive deep into the circumstances of each encounter and learn more about the treatment given, as well as the outcomes. Fourth-year medical student River Grace, the paper’s first author, said the work struck a personal note. “My dad is a reptile biologist, so I’ve grown up around snakes my whole life,” Grace said. “He was bitten by a venomous snake many years ago and ended up hospitalized for multiple weeks, so it was interesting to keep that experience in mind while going over the data.” Grace noted that it typically took those bitten over an hour on average to travel from where the bite occurred to the hospital. “It seems like the reason for that was people not knowing exactly what to do once they’d been bitten, or underestimating the severity of the bite,” he said. “Some would just sit at home for hours.” Floridians share their home with a variety of scaly neighbors who don’t always welcome visitors — accidental or not. Ultimately, thanks to the timely care of providers, only three snake bites were fatal. However, antivenom is no panacea. Those who are lucky enough to receive it in time can still incur complications from the original snake bites, like tissue damage, or even a fatal allergic reaction to the antivenom itself. Consequently, researchers look toward improving the processes used to triage snake bites in the emergency room, ensuring that providers are equipped with the knowledge and the know-how to shorten time to treatment. “In the future, we think we’d love to get involved in enhancing provider education so everyone in the health care setting is confident in being able to identify and administer antivenom as quickly and safely as possible,” Grace said.

NY Race for Governor Heats Up

Spectrum News NY 1, WABC-TV, and City & State NY interviewed Lawrence Levy, associate vice president and executive dean of the National Center for Suburban Studies, after Nassau County Executive Bruce Blakeman announced his intention to run for New York governor against incumbent Kathy Hochul. To do so he will have to face off against Rep. Elise Stefanik in the Republican primary.

Global Honors Highlight J.S. Held’s Unmatched Technical and Advisory Expertise

J.S. Held proudly celebrates the numerous industry and expert recognitions earned throughout 2025. As a global consulting firm, J.S. Held continues to be acknowledged for its deep financial, technical, and scientific expertise, with leading outlets highlighting the firm’s capabilities across investigations, risk advisory, forensics, turnaround and restructuring, business intelligence, and litigation support. The firm’s curated team of entrepreneurs — each with an unrivaled understanding of both tangible and intangible assets — reflects a collective strength that is recognized worldwide. Beyond organizational achievements, J.S. Held’s experts received individual distinctions that further demonstrate their standing as leaders within their respective fields. Industry publications and ranking bodies honoured these specialists for excellence in arbitration, construction and engineering, environmental consulting, forensic accounting, investigations, litigation support, intellectual property, specialty finance, and a wide range of other highly specialized domains. Together, these recognitions underscore J.S. Held’s commitment to delivering trusted insight and unparalleled expertise as clients navigate increasingly complex challenges. In a rapidly evolving business landscape, the firm remains dedicated to providing informed, innovative, and practical solutions that enable organizations to move forward with confidence. Click on the link below to learn more about our recognition and respective areas of expertise: Expert recognition by notable organizations serves as a further testament to J.S. Held's agile, collaborative, creative, and client-centric team, reflecting the trusted advisor role the firm has earned over the last 50 years. For any media inquiries, contact: Kristi L. Stathis, J.S. Held +1 786 833 4864 Kristi.Stathis@JSHeld.com

UF team develops AI tool to make genetic research more comprehensive

University of Florida researchers are addressing a critical gap in medical genetic research — ensuring it better represents and benefits people of all backgrounds. Their work, led by Kiley Graim, Ph.D., an assistant professor in the Department of Computer & Information Science & Engineering, focuses on improving human health by addressing "ancestral bias" in genetic data, a problem that arises when most research is based on data from a single ancestral group. This bias limits advancements in precision medicine, Graim said, and leaves large portions of the global population underserved when it comes to disease treatment and prevention. To solve this, the team developed PhyloFrame, a machine-learning tool that uses artificial intelligence to account for ancestral diversity in genetic data. With funding support from the National Institutes of Health, the goal is to improve how diseases are predicted, diagnosed, and treated for everyone, regardless of their ancestry. A paper describing the PhyloFrame method and how it showed marked improvements in precision medicine outcomes was published Monday in Nature Communications. Graim, a member of the UF Health Cancer Center, said her inspiration to focus on ancestral bias in genomic data evolved from a conversation with a doctor who was frustrated by a study's limited relevance to his diverse patient population. This encounter led her to explore how AI could help bridge the gap in genetic research. “If our training data doesn’t match our real-world data, we have ways to deal with that using machine learning. They’re not perfect, but they can do a lot to address the issue.” —Kiley Graim, Ph.D., an assistant professor in the Department of Computer & Information Science & Engineering and a member of the UF Health Cancer Center “I thought to myself, ‘I can fix that problem,’” said Graim, whose research centers around machine learning and precision medicine and who is trained in population genomics. “If our training data doesn’t match our real-world data, we have ways to deal with that using machine learning. They’re not perfect, but they can do a lot to address the issue.” By leveraging data from population genomics database gnomAD, PhyloFrame integrates massive databases of healthy human genomes with the smaller datasets specific to diseases used to train precision medicine models. The models it creates are better equipped to handle diverse genetic backgrounds. For example, it can predict the differences between subtypes of diseases like breast cancer and suggest the best treatment for each patient, regardless of patient ancestry. Processing such massive amounts of data is no small feat. The team uses UF’s HiPerGator, one of the most powerful supercomputers in the country, to analyze genomic information from millions of people. For each person, that means processing 3 billion base pairs of DNA. “I didn’t think it would work as well as it did,” said Graim, noting that her doctoral student, Leslie Smith, contributed significantly to the study. “What started as a small project using a simple model to demonstrate the impact of incorporating population genomics data has evolved into securing funds to develop more sophisticated models and to refine how populations are defined.” What sets PhyloFrame apart is its ability to ensure predictions remain accurate across populations by considering genetic differences linked to ancestry. This is crucial because most current models are built using data that does not fully represent the world’s population. Much of the existing data comes from research hospitals and patients who trust the health care system. This means populations in small towns or those who distrust medical systems are often left out, making it harder to develop treatments that work well for everyone. She also estimated 97% of the sequenced samples are from people of European ancestry, due, largely, to national and state level funding and priorities, but also due to socioeconomic factors that snowball at different levels – insurance impacts whether people get treated, for example, which impacts how likely they are to be sequenced. “Some other countries, notably China and Japan, have recently been trying to close this gap, and so there is more data from these countries than there had been previously but still nothing like the European data," she said. “Poorer populations are generally excluded entirely.” Thus, diversity in training data is essential, Graim said. "We want these models to work for any patient, not just the ones in our studies," she said. “Having diverse training data makes models better for Europeans, too. Having the population genomics data helps prevent models from overfitting, which means that they'll work better for everyone, including Europeans.” Graim believes tools like PhyloFrame will eventually be used in the clinical setting, replacing traditional models to develop treatment plans tailored to individuals based on their genetic makeup. The team’s next steps include refining PhyloFrame and expanding its applications to more diseases. “My dream is to help advance precision medicine through this kind of machine learning method, so people can get diagnosed early and are treated with what works specifically for them and with the fewest side effects,” she said. “Getting the right treatment to the right person at the right time is what we’re striving for.” Graim’s project received funding from the UF College of Medicine Office of Research’s AI2 Datathon grant award, which is designed to help researchers and clinicians harness AI tools to improve human health.

Staying Sober and on the Path to Recovery During the Holidays

The holidays can be a joyous time full of celebrations and they also can be a time of intense stress. Individuals with substance and alcohol use disorders can experience additional stress during the holidays, which can interfere with their recovery, and they may need additional support to abstain from substance use. What can people in recovery do to both abstain and enjoy the holidays? And what can loved ones do to support them? “Holidays can be difficult for anyone, but those with substance use and mental health disorders may have a more difficult time coping with those difficulties,” said Baylor University substance use disorder treatment expert Sara Dolan, Ph.D., professor of psychology and neuroscience. “The holidays can be – on one hand – a time rife with loneliness, and on the other hand, a time where family conflict might be more present,” Dolan said. “Both of these situations are hard for many of us to cope with, but we may want to be more sensitive to those who struggle more with these situations.” Dolan is a nationally known researcher on how neuropsychological dysfunction, including problems with memory and executive functions, affects how people cope with alcohol and substance use disorders and how these issues affect the treatment process and outcome. Dolan offers the following suggestions for individuals in recovery to help them get through the holidays and how family and friends can offer support. Stay active in recovery If the individual already has a recovery plan in place such as a 12-step program or Celebrate Recovery, make sure to continue attending meetings and appointments during the holiday season. “There are numerous virtual and in-person resources for people who are struggling, including mutual aid support groups like Alcoholics Anonymous, Narcotics Anonymous and Smart Recovery,” Dolan said. “People can also call the SAMHSA national helpline at 1-800-662-HELP.” Even when traveling, it is a good idea to know local meeting schedules, use virtual resources and consider attending extra meetings to stay on top of your recovery. Have a coping plan “It is important for people to have a solid coping plan before they go into potentially distressing situations,” Dolan said. Are there places or events to just stay away from? Dolan said it is “okay to keep yourself safe by leaving or even avoiding places that may be unsafe.” By having a plan to handle stressors ahead of time, you can manage it better in the moment. Preparation is key to feeling safe and enjoying the holidays. Avoid triggers and stressors Understanding personal triggers, which can be different for different people, can help us avoid them ahead of time. “For some people, it’s family conflict, for some, it’s loneliness, and for some it’s feelings of anxiety or depression,” Dolan said. “It’s important to know your own stress points before you go into situations that may trigger them.” Once you know what leads to urges to use alcohol or other substances, you can determine how to counteract those circumstances or avoid them if necessary. Reach out for support Reach out to family and friends who will most likely offer positive support. Letting your loved one know what you need – and how to support you in your recovery – can help you abstain from substance use during stressful situations. In fact, Dolan said you may even want to let them know ahead of time that you may need extra support. How to support someone with a substance use disorder Be as open, direct and caring as you can be. Dolan suggests talking to your loved one directly about what may – or may not be helpful – during the holidays. “Some people in recovery may feel more comfortable in alcohol-free environments,” she said, “but some may not want their loved ones altering their behavior. “Ask – don’t assume – and let your loved one tell you what might work best for them,” Dolan added. Using these suggestions can help both individuals with substance and alcohol use disorders and their families have a healthy and happy holiday season.

LSU Experts Break Down Artificial Intelligence Boom Behind Holiday Shopping Trends

Consumers are increasingly turning to artificial intelligence tools for holiday shopping—especially Gen Z shoppers, who are using platforms like ChatGPT and social media not only for gift inspiration but also to find the best prices. Andrew Schwarz, professor in the LSU Stephenson Department of Entrepreneurship & Information Systems, and Dan Rice, associate professor and Director of the E. J. Ourso College of Business Behavioral Research Lab, share their insights on this emerging trend. AI is the new front door for search: Schwarz: We’re seeing a fundamental change in how consumers find information. Instead of browsing multiple pages of results, users—especially Gen Z—are skipping to conversational AI for curated answers. That dramatically shortens the shopping journey. For years, companies optimized for SEO to appear on the first page of Google; now they’ll have to think about how their products surface in AI-generated recommendations. This may lead to a new form of “AIO”—AI Information Optimization—where retailers tailor product descriptions, metadata, and partnerships specifically for AI visibility. The companies that adapt early will have a distinct advantage in capturing consumer attention. Rice: This issue of people being satisfied with the AI results (like a summary at the top of the Google results) and then not clicking on any of the paid or organic links leads to a huge increase in what we call “zero click search” (for obvious reasons). For some providers, this is leading to significant drops in web traffic from search results, which can be disconcerting due to the potential loss of leads. However, to Andrew’s point of shortening the journey, it means that the consumers who do come through are much more likely to buy (quickly) because they are “better” leads. This translates to seemingly paradoxical situations for providers: they see drops in click-through rates and visitors/leads, yet revenue increases because the visitors are “better.”  There is a rise in personalized shopping journeys: Schwarz: AI essentially acts as a personal shopper—one that can instantly analyze preferences, budget, personality traits, or past behavior to produce tailored gift lists. This shifts power toward “delegated decision-making,” in which consumers allow AI to narrow their choices. Younger consumers are already comfortable outsourcing this cognitive load. However, as ads enter the picture, these personalized journeys could be shaped by incentives that aren’t always transparent. That creates a new responsibility for platforms to disclose when suggestions are sponsored and for users to develop a more critical lens when interacting with AI-driven recommendations. Rice: This is also a great point. The “tools” marketers use to attract customers are constantly evolving, but this seems in many ways to be the next iteration of the Amazon.com suggestions that you find at the bottom of the product page for something you click on when searching Amazon (“buy all x for $” or “consumers also looked at…,” etc.), based on past histories of search and purchase, etc. One of the main differences is that you can now create virtually limitless ways to compare products, making comparisons less taxing (reducing cognitive load and stress), which may, in some cases, increase the likelihood of purchase. These idiosyncratic comparisons and prompts lead to the truly unique journeys Andrew is discussing. You no longer have to be beholden to a retailer-specified price range. You could choose your own, or instead ask an AI to list the products representing the best “value” based on consumer reviews, perhaps by asking to list the top ten products by cost per star rating, etc.  Advertising is becoming more subtle and conversational: Schwarz: With ads woven directly into AI responses, the traditional boundary between content and advertising blurs. Instead of banner ads, pop-ups, or clearly labeled sponsored posts, recommendations in a conversational thread may feel more like advice than marketing. This has enormous implications for consumer trust. Retailers will likely see higher engagement through these context-aware ad placements, but regulatory scrutiny may also increase as policymakers evaluate how clearly sponsored content is identified. The risk is that advertising becomes invisible—something both platform designers and regulators will need to monitor carefully. Rice: This is definitely true. I was recently exploring an AI-based tool for choosing downhill skis, but the tool was subtly provided by a single ski brand. I’m not sure the distribution of ski brands covered was truly delivering the “best overall fit” for a potential buyer, rather than the best possible ski in that brand. At least in that case, it was somewhat disclosed. It does, however, become an issue if consumers feel misled, but they’d have to notice it first. Still, the advantages are big for retailers, and the numbers don't lie. According to some preliminary Black Friday data, shoppers using an AI assistant were 60% more likely to make a purchase.  Schwarz: This shift is going to reshape multiple layers of the retail ecosystem: Retailers will need to rethink how they show up in AI-driven environments. Traditional SEO, ad bids, and social media strategies won’t be enough. Partnerships with AI platforms may become as important as being carried by major retailers today. Because AI tools can instantly compare prices across dozens of retailers, consumers will become more price-sensitive. Retailers may face increasing pressure to offer competitive pricing or unique value propositions, as AI reduces friction in comparison shopping. Retailers who integrate AI into their own websites—chat-based shopping assistants, personalized gift advisors, automated bundling—will gain an edge. Consumers are increasingly expecting conversational interfaces, and companies that delay will quickly feel outdated. As AI tools influence purchasing decisions, consumers and regulators alike will demand clarity around how recommendations are generated. Retailers will need to navigate this carefully to maintain What I think we are going to see accelerate as we move forward: AI-powered concierge shopping will become mainstream. Within a couple of years, using AI to generate shopping lists, compare prices, and find deals will be as common as using Amazon today. Retailers will create AI-specific marketing strategies. Instead of optimizing for keywords, they’ll optimize for prompts: how consumers might ask for products and how an AI system interprets those requests. More platforms will introduce advertising into AI models. ChatGPT is simply the first mover. Once the revenue potential becomes clear, others will follow with their own ad integrations. Greater scrutiny from policymakers. As conversational advertising grows, transparency rules and labeling requirements will almost certainly. A new era of “conversational commerce.” Buying directly through AI—“ChatGPT, order this for me”—will become increasingly common, merging search, recommendation, and transaction into a single seamless experience. I can speak to this on a personal level.  My college-aged son is interested in college football, and I wanted to get him a streaming subscription to watch the games.  However, the football landscape is fragmented across multiple, expensive platforms. I asked ChatGPT to generate a series of options. Hulu is $100/month for Live TV, but ChatGPT recommended a combination of ESPN+, Peacock, and Paramount+ for $400/year and identified which conferences would not be covered.  What would have taken me hours only took me a few minutes! Rice: On the other hand, AI isn’t infallible, and it can lead to sub-optimal results, hallucinations, and questionable recommendations. From my recent ski shopping experience, I encountered several pitfalls. First, for very specific questions about a specific model, I sometimes received answers for a different ski model in the same brand, or for a different ski altogether, which was not particularly helpful, or specs I knew were just plain wrong. Secondly, regarding Andrew’s point about the conversational tone, I asked questions intended to push the limits of what could be considered reliable. For example, I asked the AI to describe the difference in “feel” of the ski for the skier among several models and brands. While the AI gave very detailed and plausible comparisons that were very much like an in-store discussion with a salesperson or area expert, I’m not sure I fully trust when an AI tells me that you can really feel the power of a ski push you out of a turn, this ski has great edge hold, etc. It sounds great, but where is the AI sourcing this information? I’m not convinced it’s fully accurate. It also seems we’re starting to see Google shift toward a more AI-centric approach (e.g., AI summaries and full AI Mode). At the same time, we’re also starting to see AI migrate closer to Google as people use it for product-related chats, and companies like Amazon and Walmart have developed their own AI that is specifically focused on the consumer experience. I can’t imagine it will be long before companies like OpenAI and their competitors start “selling influence” in AI discussions to monetize the influence their engines will have.  

Opinion: Hey Florida! Want to go to Mars? Here’s what it will do to your body

The president is eager “to plant the stars and stripes on the planet Mars.” Would you sign up for that mission? What would happen to your body in the three years you would be gone? As the United States continues to prioritize space travel, you might wonder why anyone would want to travel to Mars and whether it’s even ethical to expose humans to such extreme physiological conditions. The world is watching as the astronauts on the Boeing Starliner remain stuck in space until at least March due to a capsule malfunction. So many questions have arisen about the impacts of people spending extended periods of time in space, and we don’t have all the answers yet. However, because I study how spaceflight affects human physiology and performance, I have some ideas. The first 10 minutes of your journey will be exciting, but it’s the next months and years we really need to worry about. We have solved some of the problems but not all. After you lift off, the high g-forces will paste your body against the crew couch as you accelerate, but there’s really not too much to fear. A typical launch results in only about half the acceleration experienced by a fighter pilot in a tight turn. You might feel lightheaded, but astronauts have dealt with this for generations. Read the full article in the Tampa Bay Times here: