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AI-driven software is 96% accurate at diagnosing Parkinson's

Existing research indicates that the accuracy of a Parkinson’s disease diagnosis hovers between 55% and 78% in the first five years of assessment. That’s partly because Parkinson’s sibling movement disorders share similarities, sometimes making a definitive diagnosis initially difficult. Although Parkinson’s disease is a well-recognized illness, the term can refer to a variety of conditions, ranging from idiopathic Parkinson’s, the most common type, to other movement disorders like multiple system atrophy Parkinsonian variant and progressive supranuclear palsy. Each shares motor and nonmotor features, like changes in gait — but possess a distinct pathology and prognosis. Roughly one in four patients, or even one in two patients, is misdiagnosed. Now, researchers at the University of Florida and the UF Health Norman Fixel Institute for Neurological Diseases have developed a new kind of software that will help clinicians differentially diagnose Parkinson’s disease and related conditions, reducing diagnostic time and increasing precision beyond 96%. The study was published recently in JAMA Neurology and was funded by the National Institutes of Health. “In many cases, MRI manufacturers don’t communicate with each other due to marketplace competition,” said David Vaillancourt, Ph.D., chair and a professor in the UF Department of Applied Physiology and Kinesiology. “They all have their own software and their own sequences. Here, we’ve developed novel software that works across all of them.” Although there is no substitute for the human element of diagnosis, even the most experienced physicians who specialize in movement disorder diagnoses can benefit from a tool to increase diagnostic efficacy between different disorders, Vaillancourt said. The software, Automated Imaging Differentiation for Parkinsonism, or AIDP, is an automated MRI processing and machine learning software that features a noninvasive biomarker technique. Using diffusion-weighted MRI, which measures how water molecules diffuse in the brain, the team can identify where neurodegeneration is occurring. Then, the machine learning algorithm, rigorously tested against in-person clinic diagnoses, analyzes the brain scan and provides the clinician with the results, indicating one of the different types of Parkinson’s. The study was conducted across 21 sites, 19 of them in the United States and two in Canada. “This is an instance where the innovation between technology and artificial intelligence has been proven to enhance diagnostic precision, allowing us the opportunity to further improve treatment for patients with Parkinson’s disease,” said Michael Okun, M.D., medical adviser to the Parkinson’s Foundation and director of the Norman Fixel Institute for Neurological Diseases at UF Health. “We look forward to seeing how this innovation can further impact the Parkinson’s community and advance our shared goal of better outcomes for all.” The team’s next step is obtaining approval from the U.S. Food and Drug Administration. “This effort truly highlights the importance of interdisciplinary collaboration,” said Angelos Barmpoutis, Ph.D., a professor at the Digital Worlds Institute at UF. “Thanks to the combined medical expertise, scientific expertise and technological expertise, we were able to accomplish a goal that will change the lives of countless individuals.” Vaillancourt and Barmpoutis are partial owners of a company called Neuropacs whose goal is to bring this software forward, improving both patient care and clinical trials where it might be used.

From Libraries to Heart Health: Marlo Vernon Takes Cardiovascular Care Into Rural Georgia

Marlo Vernon, PhD, associate professor in the Department of Health Management, Economics, and Policy at Augusta University’s School of Public Health, is leading a creative public health initiative designed to improve cardiovascular monitoring in rural Georgia. Through the university’s Rural Obese At-Risk initiative, Vernon and her team are placing blood pressure monitors in local libraries, allowing residents to check them out just like books. The effort addresses a critical access gap in rural communities where preventive health tools are often limited or difficult to obtain. Vernon’s work focuses on the realities facing communities in the South’s so-called Stroke Belt, where overlapping health conditions significantly elevate cardiovascular risk. View her profile “There are significant chronic disease risk factors in this so-called Stroke Belt. We’ve got high obesity rates. We have family history. We have high rates of diabetes and kidney disease and they all kind of feed into each other to really create this cardiovascular health need in our communities. And women, in general, are just at a higher risk for this,” said Marlo Vernon, PhD. Beyond equipment access, Vernon’s research also examines how people understand and manage their health when traditional care options are limited. The library-based model helps normalize blood pressure monitoring while reducing barriers such as travel distance, cost, and limited clinic availability. It also creates opportunities to study how community-based solutions can improve awareness, engagement, and long-term cardiovascular outcomes. For journalists covering rural health, women’s health, chronic disease prevention, or innovative public-health strategies, Vernon offers grounded, real-world insight into how trusted community spaces can play a vital role in addressing persistent health disparities. A full article on this topic is available below.  To arrange an interview with Dr. Vernon simply click on her iconnow  to set up a time to talk today.

UF professor to expand proven disease-prediction dashboard to monitor Gulf threats

After deploying life-saving cholera-prediction systems in Africa and Asia, a University of Florida researcher is turning his attention to the pathogen-plagued waters off Florida’s Gulf Coast. In the fight to end cholera deaths by 2030 – a goal set by the World Health Organization – UF researcher and professor Antar Jutla, Ph.D., has deployed his Cholera Risk Dashboard in about 20 countries, most recently in Kenya. Using NASA and NOAA satellite images and artificial intelligence algorithms, the dashboard is an interactive web interface that pinpoints areas ripe for thriving cholera bacteria. It can predict cholera risk four weeks out, allowing early and proactive humanitarian efforts, medical preparation and health warnings. Cholera is a bacterial disease spread through contaminated food and water; it causes severe intestinal issues and can be fatal if untreated. The US Centers for Disease Control reports between 21,000 and 143,000 cholera deaths each year globally. Make no mistake, the Cholera Risk Dashboard saves lives, existing users contend. His team now wants to set up a similar pathogen-monitoring and disease-prediction system for pathogenic bacteria in the warm, pathogen-fertile waters of the Gulf of America. “Its timeliness, its predictiveness and its ease of access to the right data is a game changer in responding to outbreaks and preventing potentially catastrophic occurrences.” - Linet Kwamboka Nyang’au, a senior program manager for Global Partnership for Sustainable Development Data Closer to home Jutla is seeking funding to develop a pathogen-prediction model to identify dangerous bacteria in the Gulf to warn people – particularly rescue workers – to use protective gear or avoid contaminated areas. He envisions post-hurricane systems for the Gulf that will help the U.S. Navy/Coast Guard and other rescue workers make informed health decisions before entering the water. And he wants UF to be at the forefront of this technology. “If we have enough resources, I think within a year we should have a prototype ready for the Gulf,” said Jutla, an associate professor with UF’s Engineering School Sustainable Infrastructure and Environment. “We want to build that expertise here at UF for the entire Gulf of America.” Jutla and his co-investigators have applied for a five-year, $4 million NOAA RESTORE grant to study pathogens known as vibrios off Florida’s West Coast and develop the Vibrio Warning System. These vibrios in the Gulf can cause diarrhea, stomach cramps, nausea, vomiting, fever and chills. One alarming example is Vibrio vulnificus, commonly known as flesh-eating bacteria, a bacterium that often leads to amputations or death. The Centers for Disease Control and Prevention (CDC) has reported increases in vibrio infections in the Gulf region, particularly from 2000 to 2018. The warm and ecologically sensitive Gulf waters provide a thriving habitat for harmful pathogens. “The grant builds directly on the success of our cholera-prediction system," Jutla noted. "By integrating AI technologies into public health decision-making, we would not only lead the nation but also become self-reliant in understanding the movement of environmentally sensitive pathogens, positioning ourselves as global leaders.” Learning from preparing early Jutla’s dashboards are critical tools for global health and humanitarian officials, said Linet Kwamboka Nyang’au, a senior program manager for Global Partnership for Sustainable Development Data. “Its timeliness, its predictiveness and its ease of access to the right data is a game changer in responding to outbreaks and preventing potentially catastrophic occurrences,” Kwamboka Nyang’au said. Over the last few years, Jutla and several health/government leaders have been working to deploy the cholera-predictive dashboard. “Our partnership with UF, the government of Kenya and others on the cholera dashboard is a life-saving mission for high-risk, extremely vulnerable populations in Africa. By predicting potential cholera outbreaks and coordinating multi-stakeholder interventions, we are enabling swift action and empowering local governments and communities to prevent crises before they unfold,” said Davis Adieno, senior director of programs for the Global Partnership for Sustainable Development Data. The early warnings for waterborne pathogens also allows the United Nations time to issue early assistance to residents in the outbreak’s path, said Juan Chaves-Gonzalez, a program advisor with the United Nations’ Office for the Coordination of Humanitarian Affairs. “There are several things we do with the money ahead of time. We provide hygiene kits. We repair and protect water sources. We start chlorination, we set up hand-washing stations, train and deploy rapid-response teams. At the community level, we try to inject funding to procure rapid-diagnostic tests,” he said. “We identify those very, very specific barriers and put money in organizations’ hands in advance to remove those barriers.” Eyes on the Gulf In the United States, hurricanes stir up vibrios in the Gulf, posing a high risk of infection for humans in the water. There has been a nearly 200% increase in these cases over the last 20 years in the U.S., according to the CDC. “After Hurricane Ian, we saw a very heavy presence of these vibrios in Sarasota Bay and the Charlotte Bay region. Not only that, but they were showing signs of antibiotic-resistance. Last year, we had one of the largest number of cases of vibriosis in the history of Florida,” Jutla said. Samples from 2024 hurricanes Helene and Milton are being analyzed with AI and complex bioinformatics algorithms. “If there is a risky operation by rescue personnel, not using personal protective equipment, then we would want them to know there is a significant concentration of these bacteria in the water,” Jutla said. “As an example, Navy divers operating in contaminated waters are at risk of infections from vibrios and other enteric pathogens, which can cause severe gastrointestinal and wound infections.” Safety and economics “Exposure to vibrios and other enteric pathogens,” Jutla added, “can disrupt economic activities, particularly in coastal regions that are dependent on tourism and fishing. And vibrios may be considered potential bioterrorism agents due to their ability to cause widespread illness and panic.” In developing the Vibrio Warning System, Jutla noted, he and his team want to significantly enhance public health safety and preparedness along the Gulf Coast. By leveraging advanced AI technologies, satellite datasets and predictive modeling, they plan to mitigate the risks posed by environmentally sensitive pathogenic bacteria, ensuring timely interventions and safeguarding human health and economic activities. “Hospital systems and healthcare providers in the Gulf region will have a tool for anticipatory decision making on where and when to anticipate illness from these environmentally sensitive vibrios, and issue a potential warning to the general public,” he said. “With the potential to become a leader in environmental pathogen prediction, UF stands at the forefront of this critical research, poised to make a lasting impact on local, regional, national and global health and safety.”

Why Your Digital Detox Resolution Fails by January 15

Every January, millions of people make the same promise: “This year I’m going to spend less time on my phone.” By mid-month, most are back to doomscrolling in bed, feeling like they’ve failed yet another resolution. According to Offline.now founder and author Eli Singer, that story is not about laziness, it’s about confidence. Offline.now’s proprietary research shows 8 in 10 people want to change their relationship with technology, but more than half feel so overwhelmed by their habits they don’t know where to start. “If you don’t learn how to manage the screens in your life, they will manage you,” says Singer. “When people tell us they feel overwhelmed, it’s not laziness. It’s a crisis of confidence. And confidence is something that can be built.” At the heart of the platform is the Offline.now Matrix, a behavioral framework that maps people into four quadrants: Overwhelmed, Ready, Stuck, or Unconcerned - based on their motivation and confidence levels. Someone who is “Overwhelmed” needs reassurance and tiny first steps; someone who is “Ready” can handle bigger commitments. Treating everyone as if they’re in the same place (“just delete Instagram”) virtually guarantees most resolutions will collapse. Psychotherapist Harshi Sritharan, MSW, RSW, who specializes in ADHD and modern anxiety, sees how this plays out in the brain. For many of her clients, especially those with ADHD, digital devices provide a fast dopamine hit that everyday life simply can’t match. “With ADHD, you’re working with a dopamine deficiency,” she explains. “Phones and apps are designed to give you highly stimulating, personalized content. You get this huge dopamine surge, and when you put the device down, everything else feels flat, boring and harder to start.” She notes that common habits like checking your phone the second you wake up, quietly undermine even the best January intentions: “If you’re on your phone first thing in the morning, you hijack your attention and dopamine for the rest of the day. Your brain has already tasted the highest stimulation it’s going to get, and it will keep seeking that level. That’s not a willpower issue, it’s neuroscience.” The good news: the science suggests you don’t need a perfect detox to see benefits. A JAMA Network Open study on young adults found that reducing social media use for just one week - without going completely offline; led to about a 24.8% drop in depression, a 16.1% drop in anxiety, and a 14.5% drop in insomnia symptoms. “Lasting change doesn’t require deleting Instagram or TikTok tomorrow,” says Singer. “You need to win one personal victory today, and then another tomorrow. That’s how confidence rebuilds.” Featured Experts Eli Singer – Founder of Offline.now and author of Offline.now: A Practical Guide to Healthy Digital Balance. Speaks to the behavioral data behind failed resolutions, the confidence gap, and the Offline.now Matrix framework. Harshi Sritharan, MSW, RSW – Psychotherapist specializing in ADHD, anxiety and digital dependency. Explains the dopamine science behind compulsive scrolling and offers brain-friendly strategies that work better than “willpower.” Expert interviews can be arranged through the Offline.now media team.

Chasing followers makes crypto traders perform worse on social investment sites

Whether excited about gaining new followers or desperate to win back lost subscribers, investors who saw changes to their subscriber count performed worse than before their subscribers changed, according to a new study. The research tracked performance on social investment sites, where individuals can trade assets like cryptocurrency while attracting audiences based on their performance — like YouTube, but for investments. Both gaining and losing followers led investors to make more frequent, riskier trades. The upshot is that traders performed about 10% worse in the weeks after their subscriber counts changed. “If the number of followers increases a lot, it creates an overconfidence effect. You are more aggressive in trading, and your future trading performance will be worse,” said Liangfei Qiu, Ph.D., a professor in the University of Florida’s Warrington College of Business and co-author of the new study. “So logically we thought that if more followers leads to worse performance, then if we reduce the number of followers, it will reverse the effect, reduce overconfidence and lead to higher trading performance,” Qiu said. “But that’s not what we found. If we reduce the number of followers, they trade even more aggressively and their trading performance becomes even worse.” Qiu and his collaborators at the University of Maryland and University of Washington worked directly with an anonymous social trading platform to examine the impact of gaining or losing followers on traders’ cryptocurrency trading behavior and performance. The research revealed the power of social pressure. This study was focused on cryptocurrency, which is highly volatile and may exacerbate the risk of social trading. But social trading also exists for traditional investments like stocks and bonds, and chasing followers could hurt these types of investments, too. The researchers say that both platforms and investors should guard against the downsides. “If platforms emphasize the social functions too much, it might backfire. Eventually it will hurt the long run performance of the platform,” he said. “The investors should realize their inherent bias and make sure their trading strategies are not too affected by social attention.”

Why Insomnia May Hold the Key to Treating Depression, According to MCG Research

William Vaughn McCall, MD, professor emeritus in the Department of Psychiatry and Health Behavior at the Medical College of Georgia at Augusta University, is leading a new multi-year clinical trial aimed at addressing insomnia and depression together — two conditions that frequently occur side by side. The Assessing Improvements in Mood and Sleep (AIMS) Trial, funded by the National Institutes of Health, is exploring whether treating sleep problems through psychotherapy can also reduce lingering symptoms of depression, particularly in older adults. McCall has served as professor and Case Distinguished Chairman of the Department of Psychiatry and Health Behavior at Augusta University since 2012. His research interests include depression, electroconvulsive therapy, quality of life, insomnia, and suicide. His research has been continuously funded by the National Institute of Mental Health since 1995, and he is the author of more than 400 publications, including more than 180 peer-reviewed journal articles. View his profile McCall’s work builds on decades of research examining how disrupted sleep contributes to mood disorders. While previous studies often focused on medication-based approaches, this trial takes a different direction by testing non-pharmacological therapies that target insomnia itself. The research team, which includes collaborators from multiple universities, is evaluating whether improving sleep quality can meaningfully lower depression symptoms for patients who remain symptomatic despite antidepressant treatment. “Ultimately, the hope is to find other avenues to reduce the risk for depression and depression symptoms,” McCall says. The trial is currently recruiting adults aged 55 and older who are experiencing both insomnia and depression, with options for both in-person and remote participation. For journalists covering mental health, aging, sleep science, or emerging clinical research, McCall is a key expert offering informed perspective on how sleep-focused interventions could reshape the future of depression treatment. The full article 'New MCG trial targets insomnia and depression symptoms' is available below: And if you're interested in talking with William Vaughn McCall, MD, simply click on his icon now  to arrange a time for an interview today.

AI as IP™: A Framework for Boards, Executives, and Investors

Under current corporate accounting practices, artificial intelligence (AI) companies’ most valuable resources – large language models, training datasets, and algorithms – remain “off the books” or uncapitalized. As the importance of AI continues to grow in the global knowledge-based economy, financial statements are becoming less representative of a company’s true worth, creating a recognition gap. In this article, James E. Malackowski, Eric Carnick, and David Ngo present several conceptual frameworks to bridge this gap. They explain how the triangulation of three valuation approaches can reveal both the tangible investment base and the intangible, strategic upside of AI assets. In turn, these approaches provide board-level visibility into where AI capital resides and how it contributes to enterprise value. James E. Malackowski is the Chief Intellectual Property Officer (CIPO) of J.S. Held and Co-founder of Ocean Tomo, a part of J.S. Held. Mr. Malackowski has served as an expert on over one hundred occasions on intellectual property economics, including valuation, royalty, lost profits, price erosion, licensing terms, venture financing, copyright fair use, and injunction equities. He has substantial experience as a Board Director for leading technology corporations, research organizations, and companies with critical brand management issues.  This article is the second installment in our three-part series, Artificial Intelligence as Intellectual Property or “AI as IP™”, which explores how artificial intelligence assets should be treated as a form of intellectual property and enterprise capital. The first article, “A Strategic Framework for the Legal Profession”, explored the legal foundations for recognizing and protecting AI assets. The upcoming third article, “Guide for SMEs to Classify, Protect, and Monetize AI Assets”, will provide practical steps for small and mid-sized enterprises to turn AI into measurable economic value. To explore the topic further, simply connect with James through his icon below.

AU scientists advance understanding of Nobel-winning immunology research

The 2025 Nobel Prize in Physiology or Medicine recognized the discovery of regulatory T cells, which are immune cells that maintain tolerance and prevent autoimmunity. At Augusta University, scientists have built upon that foundational work, uncovering how these cells function, fail and evolve across diseases like cancer and atherosclerosis. Regulatory T cells, or Tregs, are essential for controlling immune responses and preventing the body from attacking its own tissues. Early discoveries by Shimon Sakaguchi, MD, PhD, who identified the CD25 marker and later the transcription factor FoxP3, revealed how Tregs suppress immune activation. Sakaguchi, a distinguished professor at Osaka University in Japan, shared the Nobel Prize with Mary E. Brunkow, PhD, Princeton University, and Fred Ramsdell, PhD, University of California, Los Angeles. Sakaguchi once shared lab space with Nicholas Gascoigne, PhD, now a professor at AU’s Immunology Center of Georgia, where he studies T-cell signaling and differentiation — a connection that ties the global history of Treg research to the university’s ongoing expertise. Gascoigne’s research continues to illuminate how Tregs differentiate and signal, critical steps in ensuring immune tolerance to self. “Drs. Sakaguchi, Brunkow and Ramsdell have made enormous contributions to our understanding of how immunological tolerance works, so this prize is very well deserved,” Gascoigne said. “I was happy I could help Drs. Shimon and Noriko Sakaguchi when they needed lab space back in the early ‘90s. They were wonderful to work with.” At Augusta University, David Munn, MD, co-director of the Pediatric Immunotherapy Program of the Medical College of Georgia at Augusta University, made seminal discoveries showing that Tregs are not always stable. Munn’s team demonstrated that these cells could lose their suppressive identity and become “exTregs,” adopting pro-inflammatory characteristics under certain conditions. Munn also uncovered an entirely distinct tolerance mechanism through indoleamine 2,3-dioxygenase, a pathway independent of FoxP3 that regulates immune balance through tryptophan metabolism. “In particular, the work of Shimon Sakaguchi and Fred Ramsdell was profoundly influential on our early work, as we were just starting out to explore how the immune system is regulated in pediatric cancers,” Munn said. “The work of these Nobel laureates helped transform the scientific understanding of how the immune system responds — or fails to respond — in the setting of tumors.” Catherine “Lynn” Hedrick, PhD, co-director of the Immunology Center of Georgia, further expanded this understanding by showing that Tregs can convert into follicular helper T cells, offering new insight into how immune regulation can shift toward antibody production in chronic inflammatory diseases such as atherosclerosis. “Understanding how regulatory T cells can shift identities helps explain why the immune system sometimes loses balance in chronic disease,” Hedrick said. “By tracing how Tregs convert into other helper cells, we’re uncovering new therapeutic targets to restore immune harmony in conditions like atherosclerosis.” Building on these advances, Klaus Ley, MD, co-director of IMMCG, and his team have investigated how exTregs contribute to cardiovascular inflammation, identifying them in human tissues and clarifying their role in atherosclerosis. His lab also recently discovered human exTregs, providing the first direct evidence of these cells in people. Two postdoctoral fellows in Ley’s lab, Qingkang Lyu, PhD, and Smriti Parashar, PhD, continue this work, exploring how regulatory and ex-regulatory T cells influence chronic disease progression. Additionally, Dimitrios Moskofidis, MD, PhD, a professor based in the Georgia Cancer Center, contributed key early insights into immune tolerance and memory, defining how effector T cells persist or are deleted following infection. “Together, these discoveries place Augusta University and the Immunology Center of Georgia at the forefront of modern immunology, connecting molecular mechanisms of tolerance to real-world diseases and therapies,” Ley said. To connect with any of the experts or researchers in this article - simply contact AU's External Communications Team mediarelations@augusta.edu to arrange an interview today.

New AI-powered tool helps students find creative solutions to complex math proofs

Math students may not blink at calculating probabilities, measuring the area beneath curves or evaluating matrices, yet they often find themselves at sea when first confronted with writing proofs. But a new AI-powered tool called HaLLMos — developed by a team led by Professor Vincent Vatter, Ph.D., in the University of Florida Department of Mathematics — now offers a lifeline. “Some students love proofs, but almost everyone struggles with them. The ones who love them just put in more work,” Vatter said. “It just kind of blows their minds that there’s no single correct answer — that there are many different ways to do this. It’s very different than just doing computational work.” Building the tool HaLLMos was developed by Vatter, as principal investigator, along with Sarah Sword, a mathematics education expert at the Education Development Center; Jay Pantone, an associate professor of mathematical and statistical sciences at Marquette University; and Ryota Matsuura, a professor of mathematics, statistics and computer science at St. Olaf College; with grant support from the National Science Foundation. The tool is freely available at hallmos.com. The team’s goal was to develop an AI tool powered by a large language model that would support student learning rather than short-circuiting it. HaLLMos provides immediate personalized feedback that guides students through the creative struggle that writing proofs requires, without solving the proofs for them. The tool’s name honors the late Paul Halmos, a renowned mathematician who argued that the mathematics field is a creative art, akin to how painters work. Students using HaLLMos can select from classic exercises — such as proving that, for all integers, if the square of the integer is even, the integer is even — or use “sandbox mode” to enter exercises from any course. Faculty can create exercises and share them with students. Vatter introduced HaLLMos to his students last spring in his “Reasoning and Proof in Mathematics” class, a core requirement for math majors that is often the first time students encounter proofs. “They could use this tool to try out their proofs before they brought them to me. We try to identify the error in a student’s proof and let them go fix it,” Vatter said. “It is difficult for faculty to devote enough time to working individually with students. Our goal is that this tool will provide the feedback in real time to students in the way we would do it if we were there with them as they construct a proof.” Helping professors and students excel “I think every math professor would love to give more feedback to students than we are able to,” Vatter said. “That’s one of the things that inspired this.” The next steps for Vatter and his colleagues include getting more pilot sites to use the tool and continuing to improve its responses. “We’d like it to be good at any kind of undergraduate mathematics proofs,” he said. Vatter also intends to explore moving HaLLMos to UF’s HiPerGator, the country's fastest university-owned supercomputer. “It’s our goal to have it remain publicly accessible,” Vatter said. This research was supported by a grant from the National Science Foundation Division of Undergraduate Education.

UC Irvine’s Daniele Piomelli provides expert view on federal reclassification of cannabis

As the White House moves to reclassify cannabis under federal law from a schedule I to a schedule III, questions remain about how the change could affect medical use, public health, research, and regulation. UC Irvine’s Daniele Piomelli, PhD, an internationally recognized cannabis researcher, is available to comment on the implications of the policy shift. Piomelli is a distinguished professor of anatomy and neurobiology at the University of California, Irvine, the Louise Turner Arnold Chair in the neurosciences, and director of the UCI Center for the Study of Cannabis. Piomelli has more than 30 years of experience studying cannabis, THC and the endocannabinoid system, with research spanning basic neuroscience, pharmacology and translational science. He is editor in chief of Cannabis and Cannabinoid Research and has testified before the U.S. Senate on cannabis-related research and policy. He can provide perspective on: • What federal reclassification may change for medical cannabis and scientific research • Differences between THC, CBD and other cannabinoids • Potential public health benefits and risks of cannabis legalization • Cannabis exposure and the developing brain, including adolescence • Regulatory and research challenges tied to cannabis policy Piomelli is available for interviews or background conversations. Email: piomelli@hs.uci.edu