Spotlights

Quantum computing is often framed as a hardware race with attention fixed on machines that promise amazing speed. But a foundational mathematical problem remains unresolved. No complete framework yet exists for converting massive amounts of data generated by fields such as healthcare, disease surveillance, financial transactions and climate monitoring into units a quantum machine can process. “What exactly we are proposing is this: data is continuous,” said Arni S.R. Srinivasa Rao, PhD, professor and director of the Laboratory for Theory and Mathematical Modeling, Division of Infectious Diseases, Medical College of Georgia at Augusta University. “That means the generation of the data is continuously happening. And how to slice it down into pieces, that is what it is about. The slicing down of the data into smaller pieces, not too small pieces, but smaller enough for the computers to handle them in a meaningful way.” Rao and Steven G. Krantz, a professor of mathematics at Washington University in St. Louis, published their findings on “The Role of Quantization in Quantum Computing” in the July/August 2026 issue of SIAM News, published by the Society for Industrial and Applied Mathematics. “Quantization is a mathematical method, nothing to do with quantum computing,” Rao said. “But these two we are trying to mix together.” The problem with just chopping it up Classical computers store information as bits, switches that are either off or on, zero or one. Quantum computers use qubits, which can hold combinations of both states simultaneously, which is why they can theoretically process vastly more information at once. But qubits operate at the atomic level. Getting that data into a quantum machine requires breaking it down into atomic-scale pieces first. The math for doing that well, Rao and Krantz argue, does not yet exist in any complete form. The hard part is “slicing” it right. “Not slicing in a random, arbitrary way,” Rao said. “If you slice it in a way which is arbitrary, then you might miss, you might necessarily slice it where no information is required. Information is broken into pieces rather than combining the information. That’s what the mathematics is playing a role here.” Their research proposes using an ensemble of quantization techniques rather than a single method, with different mathematical tools matched to the different layers inside a dataset. A disease surveillance file might bundle together demographic data, income levels, infection status and housing type, for example. Each layer has its own structure. The partitioning, they argue, should flex to fit the problem rather than forcing every dataset through the same process. Mixing two worlds that don’t quite line up The second major contribution is a formally defined measure the authors call “atomic uncertainty.” It quantifies the mismatch between quantized data and the atomic structure that data is supposed to travel through inside a quantum processor. The mismatch exists because atomic models, the diagrams of electrons and nuclei that physics students study, are approximations. The actual behavior of electrons inside an atom follows probability distributions. There is inherent randomness in there that scientists have not resolved. Planets are called spheres, and textbooks draw them as smooth perfect balls, Rao explained, but their surfaces are cratered and irregular. The sphere is a useful model, not an accurate description. Atomic structure works the same way. When quantized data does not fit cleanly into that imperfectly understood atomic structure, the gap becomes computational error. At small scale, manageable. At the scale of real-world data inputs, those errors can compound into results that are simply wrong. “We are not trying to fix the error. We are trying to see how big the error is,” Rao said. This study illustrates the concept with a disease-modeling example, building a dataset that layers population age, income bracket, infection status and housing type. When the data is quantized and compared against a model atomic structure, the spaces do not fully align. That leftover mismatch is the atomic uncertainty. In a real quantum system processing actual disease data, it does not disappear but shows up as wrong answers about how a disease spreads. The next step, Rao said, requires industry partners to take the framework and build hardware around it. “Designing a computer is different from the actual making a computer,” Rao said. “We designed the method of slicing the larger, huge continuous data into smaller digestible computer bits, that’s called qubits. The industrialists have to build it. Like designing a mobile phone is different from actually making a mobile phone.”

The U.S. House Committee on Education and Workforce held its first artificial intelligence field hearing of the year, titled "Building an AI-Ready America: How AI Is Creating Opportunities Across America's Workforce," at the Georgia Cyber Center at Augusta University on July 24. U.S. Rep. Rick W. Allen, who represents Georgia's 12th District and chairs the committee's Subcommittee on Health, Employment, Labor, and Pensions, chaired the hearing. He was joined by U.S. Rep. Joe Wilson of South Carolina and U.S. Rep. Lucy McBath of Georgia. Jeffery Talbert, PhD, chair of Augusta University's Department of Artificial Intelligence and Health at the Medical College of Georgia and a Georgia Research Alliance Eminent Scholar, served as one of four witnesses at the hearing. "Today, we examine how artificial intelligence, AI, is creating economic opportunities for American workers, job creators and our communities," Allen told the committee. "There's no better place to hold this hearing than right here in Augusta." Allen said the combination of the Georgia Cyber Center and Fort Gordon provides the expertise needed to discuss AI. "Fort Gordon is just a short 30-minute drive from where we currently sit," he said. "It hosts the Army Cyber Center of Excellence and is home to Army Cyber School, which trains, educates and develops the Army's Cyberspace and Electronic Warfare workforce. Every year, thousands of people leave Fort Gordon looking for work." He added that the Georgia Cyber Center "was created to meet this growing demand and drive collaboration between academia, government and industry stakeholders to equip a superior cybersecurity workforce with the skills they need." Augusta University President Russell T. Keen told the committee it was an honor for AU's Georgia Cyber Center to host the hearing. "Congressman Allen has long recognized the important role that education, innovation and workforce development play in strengthening our state and our nation," Keen said. He added that AI "will continue to change how we live, how we learn, how we work and how we solve problems," and that Augusta University "intends to lead in that transformation in ways that strengthen our workforce, advance discovery, improve lives, change lives and save lives." Talbert, who has more than 30 years of experience in biomedical informatics, has published approximately 260 times and has led more than 100 funded research projects totaling more than $130 million. He told the committee that in health care, AI is demonstrating its greatest value through augmentation, helping professionals "work more effectively, reducing administrative burdens, improving patient outcomes and expanding workforce capacity." He pointed to ambient documentation technology, which converts clinical conversations into draft notes clinicians review and approve, as one of the industry's most successful AI applications. "Multiple studies show these tools reduce documentation burden, after-hours work and burnout," Talbert said. "One multisystem implementation found clinician burnout fell from approximately 52 percent to 39 percent." He also cited studies showing AI-assisted breast cancer screening detecting approximately 29 percent higher cancer rates, "helping more patients benefit from earlier diagnosis and treatment." America's opportunity, Talbert said, "is not simply to adopt AI, but to lead its responsible development, education and implementation." He pointed to Augusta University's Department of AI and Health, the first of its kind in Georgia, as an example of that approach. Allen closed the hearing by cautioning against a one-size-fits-all approach to AI policy. "The needs of a family farm are not the same as those of a hospital, a manufacturing plant or a small business," he said. "Congress must pursue flexible policies that allow businesses to adopt AI in ways that best suit their industry and workforce." JagWire has the full recap of the hearing and the Augusta Chronicle, Innovation & Entrepreneurs News and Traders Union also covered the field hearing. Augusta University experts in artificial intelligence, healthcare innovation and workforce development are available for interviews. If you're covering similar stories, reach out to schedule time.

Artificial intelligence has moved from novelty to daily habit in classrooms across the country, and the debate over what that means for learning shows no sign of slowing down. Some schools have built AI into their curriculum. Others have banned it outright. Caught in the middle are students trying to figure out where the technology actually helps and where it quietly gets in the way. Trent Kays, PhD, an assistant professor and Director of Professional Writing and Rhetoric at Augusta University, has spent time researching exactly that question, and he recently sat down with FOX54 News to talk through what he's seeing firsthand. Kays, who also serves as a faculty affiliate in Women's and Gender Studies and specializes in digital rhetoric and machine writing, says students are already using AI for far more than quick homework help, from brainstorming and studying to building out entire lesson plans on their own. The bigger concern, according to Kays, isn't misuse in the obvious sense. It's what he calls cognitive offloading, students handing the thinking itself over to the machine. "Students are essentially using AI to do their thinking for them, which is not something that they should do," he said. It's part of why he keeps AI out of his first- and second-year courses entirely: those early classes are where students build the critical thinking skills they'll need before a tool can actually help. "They have to be able to think critically first before they can ask a tool to help them." Accuracy is its own problem. AI tools have gotten sharper, but Kays points out they still fabricate information regularly, including sources that were never real to begin with, something students are far less likely to catch than an instructor who actually reads the citations. None of this means Kays thinks AI belongs outside the classroom. He describes it as a potential process partner, something that can push a student's thinking further rather than replace it, as long as the structure around it is clear. As he put it, what schools need now is to "craft clear guidelines and structures for students to follow so that they know how to use it and how to use it well." Read the full interview and FOX54's coverage here: AI in the Classroom: Augusta University Professor Explains the Benefits and Risks Dr. Trent Kays is available for interviews on AI in education, digital rhetoric, and responsible AI use in academic settings. If you're covering similar stories, click on this icon to schedule time with him.

With the World Cup underway across the U.S., Canada, and Mexico, Dr. Simon Medcalfe, economist at Augusta University's Hull College of Business, wrote for Augusta Business Daily about why FIFA's headline economic projections for the tournament don't hold up. His piece breaks down why most of the spending tied to hosting the event isn't new activity but rather it's money that would have been spent elsewhere regardless. As Medcalfe put it: "New spending is not created; it is just moved around." Read his full column in Augusta Business Daily :  Dr. Medcalfe is a Professor of Economics and Finance at Augusta University, with research spanning sports economics, community and economic development, and social determinants of health. He holds a PhD in Business/Managerial Economics from Lehigh University. If you're covering the economics of hosting major sporting events, public subsidies for host cities, or the gap between projected and actual tourism impact, Dr. Medcalfe is available for comment. Click on the contact button in his profile below. 

Heart disease has long been linked to familiar risk factors such as high cholesterol, high blood pressure and lifestyle choices. But according to a recent Augusta University Jagwire article highlighting research published in Nature Reviews Cardiology, the immune system might also play a critical role in determining how cardiovascular disease develops and progresses. The review, led by Ishita Tandon, PhD, Hossam Abdelsamed, PhD, and Alaa M. Khalifa, PhD, examines the emerging role of CD8+ T cells, specialized immune cells best known for fighting infections, in atherosclerosis, the chronic inflammatory disease responsible for most heart attacks and strokes. By synthesizing the latest evidence, the researchers show how different populations of these immune cells can either fuel inflammation or help regulate it, revealing new opportunities to better understand, diagnose and eventually treat cardiovascular disease. The review also identifies important gaps in current knowledge and outlines promising directions for future research. As scientists continue to better understand how these immune cells behave within arterial plaques, their discoveries could lead to more precise diagnostic tools and a new generation of immune-targeted therapies for cardiovascular disease. Together, the researchers' work offers journalists valuable insight into one of the fastest-evolving areas of cardiovascular research, where immunology and heart health are converging to reshape how cardiovascular disease is understood and treated. "This study highlights the major role of CD8+ T cells in atherosclerosis and their potential impact on cardiovascular diseases."  Hossam Abdelsamed, PhD To learn more about this amazing research and connect with Ishita Tandon, Hossam Abdelsamed or Alaa M. Khalifa, contact AU's External Communications Team mediarelations@augusta.edu to arrange an interview today.

Heart disease remains the world's leading cause of death, but researchers are continuing to uncover the genetic mechanisms that drive it. According to a recent Augusta University Jagwire article highlighting new research, scientists are investigating how a little-studied gene might influence the development of cardiovascular disease and whether it could become a future target for treatment. At the center of the research is Kunzhe Dong, PhD, an investigator at Augusta University's Immunology Center of Georgia, who is examining the role of the SH3BGRL2 gene in cardiovascular cells. While the gene has previously been associated with cancer biology, early findings suggest it might also play an important role in regulating how blood vessels respond to stress and injury. Understanding that relationship could reveal new biological pathways involved in heart disease and identify novel opportunities for precision medicine. The research aims to determine how changes in gene expression affect the function of cardiovascular cells and contribute to disease progression. By better understanding these molecular mechanisms, scientists hope to identify new therapeutic targets and improve the ability to prevent or treat cardiovascular disease before irreversible damage occurs. The work also reflects a broader shift toward precision medicine, where treatments are tailored to the underlying biology of each patient rather than relying solely on traditional risk factors. "This gene is well known in one field, but now we're seeing it's also important in cardiovascular cells." Kunzhe Dong, PhD To learn more about this research and connect with Kunzhe Dong, contact AU's External Communications Team mediarelations@augusta.edu to arrange an interview today.

Where an expectant mother lives might reveal important clues about her baby's health before birth. According to a recent Augusta University Jagwire article, researchers at the Medical College of Georgia have found that mapping birth outcomes by ZIP code can help identify communities where mothers and newborns face greater health risks, providing valuable information for healthcare providers and public health officials. The two-part study out of the Department of Anesthesiology and Perioperative Medicine at the Medical College of Georgia at Augusta University, led by Mary Arthur, MD, explored the relationship between neighborhood characteristics and neonatal outcomes. By combining geographic mapping with maternal and infant health data, the researchers identified areas with higher rates of adverse birth outcomes and examined how factors such as access to prenatal care and other social determinants of health might contribute to those disparities. The findings suggest that geographic data can become a valuable tool for improving maternal and infant health. By identifying communities at greater risk, healthcare systems and policymakers can better target prenatal education, outreach programs and healthcare resources to support expectant mothers before complications arise. For journalists covering maternal health, healthcare disparities and public policy, Arthur offers valuable insight into how community-level data can help guide interventions that improve pregnancy outcomes and give more babies a healthier start in life. "The maps make it very easy to visualize those ZIP codes that link to poor neonatal outcomes. They're also helpful for planning strategic interventions to help the people who live in those particular areas in terms of making sure there are outreach programs for mothers in those areas to have access to prenatal care." Mary Arthur, MD To learn more about this important research and connect with Mary Arthur, contact AU's External Communications Team mediarelations@augusta.edu to arrange an interview today.

A recently published article from Augusta University’s Jagwire is highlighting how artificial intelligence is rapidly changing the future of dentistry not only in patient care, but also in education, research and clinical decision-making. The article features insights from Theodore Ravenel and third-year dental student Reid Loveless, who discuss both the opportunities and risks associated with AI integration in the profession. Ravenel explains how AI-powered tools are already assisting dentists with cavity detection, orthodontic planning, bone-loss analysis, and treatment forecasting, while also helping researchers process enormous amounts of clinical data more efficiently. He also emphasizes the importance of ethical safeguards, patient privacy and ensuring that AI tools are trained using diverse and accurate datasets. “It is really reshaping dentistry and how we practice dentistry.” Theodore Ravenel, DMD Loveless offers the perspective of a future clinician learning in an increasingly technology-driven environment. He describes how AI-supported educational tools developed by faculty such as Rafael Pacheco are helping students navigate complex patient scenarios, receive immediate feedback, and strengthen clinical reasoning skills. The article also highlights emerging technologies being used at the Dental College of Georgia, including virtual reality simulators and AI chatbots that provide students with real-time evaluations of dental procedures. Researchers such as Zoya Kurago are also leveraging AI to analyze large-scale datasets tied to cancer and oral disease research. Despite the excitement surrounding these advances, the article stresses that AI is intended to support, not replace, human clinicians. Empathy, communication and patient trust remain essential components of quality care. To learn more about how Augusta University is preparing future dental professionals for an AI-driven healthcare landscape, contact Rafael Pacheco at rapacheco@augusta.edu.

Cuba is facing one of its most severe crises in decades, as compounding economic and energy challenges continue to strain everyday life on the island. Persistent fuel shortages have led to rolling blackouts, transportation disruptions, and reduced industrial output, while inflation and shortages of basic goods have eroded purchasing power for ordinary Cubans. Tourism, once a critical source of foreign exchange, has struggled to fully recover, and the country continues to grapple with declining productivity and limited access to international capital. These pressures have contributed to rising public frustration, increased migration, and a government response that blends cautious economic reforms with efforts to maintain stability. Paolo Spadoni is an ideal expert for journalists covering this evolving situation. As a specialist in Cuba’s political economy, his work focuses on the island’s external sector, including foreign investment, remittances, tourism and the impact of international sanctions. He brings a rare ability to connect on-the-ground developments – such as energy shortages or policy changes, to the broader structural realities shaping Cuba’s economy. With deep academic research and ongoing analysis of current reforms, Spadoni offers clear, credible insight into whether Cuba’s latest measures signal meaningful transformation or simply short-term responses to a prolonged crisis. Paolo Spadoni, PhD, is a widely recognized expert on Cuba and its international relations. He is a tri-lingual political economist with a specialization in international relations and a focus on Latin America’s political and business environments. His research focuses on international relations theories, Cuba's economy and business market, foreign investment in Cuba and U.S.-Cuba relations. View his profile Since this crisis escalated, Spadoni has been the 'go-to' expert for reporters with media from across North America like Reuters, Bloomberg and The New York Times connecting with him for his expertise, input and perspective on the situation. LA TERCERA: “The Cuban tourism sector was already struggling before the Covid pandemic. The best year for international tourism in Cuba was 2017 in terms of foreign exchange earnings. That was the year in which $3.3 billion was collected, and tourism represented 10% of Cuba's GDP at that time. In terms of employment, it provided 120,000 direct jobs and roughly 500,000 indirect jobs. So it played a significant role. That was the best year for international tourism in Cuba, which coincidentally ended in November of that year with the sanctions imposed by the first Trump administration. From then on, tourism from North American visitors began to decline, but European and Canadian visitors were already decreasing,” Spadoni explained to La Tercera. CBC NEWS: "Most of those investments are real estate investments more than tourism investments, meaning the Cuban military has taken possession of prime locations in the best tourism areas of Cuba," said Paolo Spadoni, an associate professor at Augusta University in Augusta, Ga., and co-author of the 2025 book The Cuban Tourism Industry: Evolution, Challenges and Prospects. Columbia Law School: "While seeking to finalize an economic agreement with Cuba, the Trump administration could secure deals across various sectors of the economy. However, tourism holds the most promising opportunities in the short term." Global News (Canada):