The Academic Minute

Academic Minute

Astronomy to Zoology www.academicminute.org

  1. 1 day ago

    Jenny M. Munson, Virginia Tech - Unraveling the Secrets of "Chemo Brain"

    Surviving cancer may come with neurological side effects as well. Jenny M. Munson, professor and director at the Cancer Research Center – Roanoke at the Fralin Biomedical Research Institute at Virginia Tech, determines why this is. Faculty Bio: Tracking fluid flow to understand cancer, aging and women’s health.How does the pace of fluid flow affect tumor spread and memory loss?In the Munson Lab, we study the tumor microenvironment in cancers, including glioblastoma, the deadliest form of brain cancer. Our research focuses on the emerging research area of fluid flow. Cancer’s invasion of the brain follows distinctive routes that correlate with interstitial and bulk flow pathways. In brain cancer, fluid flow increases between cells within the tissue, specifically across the invasive edge of the tumor where cells are prone to both interact with the surrounding brain tissue and to evade localized, transport-limited therapies. We believe fluid flow can alter how a tumor responds to drug therapies. Not only is fluid flow important in cancer, but also is a contributor to normal function in tissues and other diseases. To this end, we are translating many of our methods and hypotheses to understand the role of fluid flow in immunity, aging, and women’s health.Our methods combine in vivo imaging methodology with in vitro tissue engineered models to examine the role of interstitial fluid flow and the cellular components of the microenvironment in cancer progression and treatment. We use patient-derived cells to create personalized models of disease to test hypotheses related to fluid and tissue transport in tumors and the brain and to identify new drug targets and treatment approaches. Our goal is to find new targets in the tissue microenvironment by examining cancer and disease in the proper context, which includes dynamic fluid flows, multiple cell types, and patient-specific parameterization. By including the proper tissue environment, we believe that we can better identify underlying causes and contributors to disease and thus be better able to target and test new drugs for patients. Transcript: Chemotherapy saves lives, but many patients experience lingering “chemo brain” — problems with memory, focus, and mental clarity. Women, especially those treated for breast cancer, are disproportionately affected. We investigated whether the brain’s lymphatic system — vessels that clear waste and help regulate immune function — might play a role. Using a three-tiered approach that combined animal models and the first human tissue-engineered model of meningeal lymphatics, we studied how two common chemotherapy drugs affect this system.Both drugs disrupted lymphatic health, but the effects were strongest with docetaxel. Vessels became smaller, with fewer loops and branches — clear signs of impaired growth, regeneration, and function. To confirm functional deficit, we used advanced MRI and showed reduced movement of fluid in the brain.When mice treated with docetaxel were given memory tests, they performed worse, linking these structural changes to cognitive dysfunction. The pattern resembles what we see in other conditions tied to poor lymphatic drainage of the brain, such as Alzheimer’s disease.These findings suggest that chemo brain may partly arise from damage to the brain’s lymphatic system. That raises the possibility of new therapies aimed not at the cancer itself, but at preserving cognitive health — through pharmaceuticals, lifestyle changes like sleep and exercise, or other interventions.By revealing how chemotherapy reshapes the lymphatic system, this work underscores the importance of addressing not only cancer survival, but also the long-term neurological side effects that shape quality of life. Read More: [VT News] - Unraveling the secrets of ‘chemo brain’ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    3 min
  2. 2 days ago

    Petra Fromme, Arizona State University - Materials That Harness Humidity to Capture Carbon

    How can we use technology to clean the air around us? Petra Fromme, Regents Professor of Chemistry and Biochemistry and director of the Biodesign Center for Applied Structural Discovery at Arizona State University, examines how humidity can play a role in doing so. Faculty Bio: Petra Fromme, Regents’ Professor of Chemistry and Biochemistry and Director of the Biodesign Center for Applied Structural Discovery at Arizona State University, investigates the structure and function of biological and synthetic systems to advance solutions in energy, health, and sustainability.Petra Fromme, Ph.D., received her doctoral degree and habilitation in physical chemistry from the Technical University of Berlin in Germany, following her studies in biochemistry at the Free University of Berlin. She began her academic career at the Max Volmer Institute in Berlin before joining Arizona State University in 2002, where she has since become a leader in interdisciplinary research and innovation in structural biology and biophysics.Her research focuses on uncovering the molecular mechanisms of energy conversion and biological function, particularly through studies of membrane proteins such as photosystems. She has pioneered the use of X-ray free-electron lasers for serial femtosecond crystallography, enabling high-resolution structural determination of biomolecules and capturing dynamic processes. Her work has resulted in many impactful peer-reviewed publications and has significantly advanced the fields of structural biology and renewable energy research.Her current research also explores the development of advanced materials for direct air capture of carbon dioxide, focusing on moisture-swing systems that operate using changes in humidity. By studying nanoscale to macroscale structures, using different X-ray scattering and imaging techniques her team is working to design energy-efficient technologies to mitigate climate change.Professor Fromme has received numerous honors for her contributions to science, including the prestigious Anfinsen Award from the Protein Society. Through her leadership at the Biodesign Institute and her mentorship of students and researchers, she continues to drive innovation at the intersection of structural biology, energy, and environmental sustainability. Transcript: Fighting climate change often means building bigger machines—industrial systems that pull carbon dioxide from the air using heat, pressure or a lot of energy.But what if the air itself could do the work?My research is looking to step a big step forward in the fight against climate change; developed together with my graduate student and the first author of this published study, Gayathri Yogaganeshan and our team.Our work is on materials that can remove carbon dioxide directly from the air, using something as simple as changes in humidity. When the air is dry, the material captures CO₂. When the air becomes humid, it releases that CO₂ again. This process is called a moisture swing, and it allows us to capture carbon without using large amounts of energy, heat, or pressure.What makes this research special is that we didn’t just test whether the materials work, we looked deep inside them, all the way down to the nanoscale. Using advanced imaging techniques, we discovered that tiny structural features, thousands of times smaller than a human hair, control how water and CO₂ move through the material.We found that even small changes in humidity can subtly rearrange these structures, which in turn affects how efficiently carbon is captured and released. One of the materials we studied, a porous resin, showed particularly strong performance because its internal structure allows gases to move more easily.This work helps us understand how to design better materials, ones that are more efficient, more durable, and capable of operating on a large scale.Ultimately, our goal is to create technologies that can clean the air around us, helping to reduce atmospheric CO₂ and mitigate climate change. Read More: [ASU News] - Moisture-powered materials could make cleaning CO2 from air more efficient This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    3 min
  3. 3 days ago

    Emily Balcetis, New York University - What Motivates Runners?

    What motivates runners? Emily Balcetis, associate professor of psychology at New York University, examines this question. Faculty Bio: Dr. Emily Balcetis is an Associate Professor of Psychology at New York University and author of Clearer, Closer, Better: How Successful People See the World. She is an award-winning behavioral scientist and author. She directs a research lab that pioneers the scientific investigation of motivation, uncovering previously unknown strategies that sustain people’s efforts to meet their goals. Dr. Balcetis focuses on issues including diversity in leadership, disparities in health, bias in the legal system, polarization in public opinion, and safety in cyber behavior, among others. She has appeared as a host for National Geographic and has served as a consultant for General Electric, Nestle, Nike, Pixar, the New York Times, Prudential Financial, Sandoz Pharmaceutical, and other industry leaders. Her research has been supported by grants from the National Science Foundation and National Institutes of Health. She has delivered two TEDx talks on motivation science and polarization in public opinion and earned her PhD from Cornell University. Transcript: Physical training shapes running over months and years. But what allows runners to adapt in real time? The answer is not just in their legs and lungs, it’s in their eyes. My research shows that visual attention gives runners a flexible way to support motivation and improve their performance while they’re on the move.Visual attention works like a spotlight. It can be wide, taking in what’s on the left, right, above and below us. Or attention can be narrowly focused tightly on a single point ahead. Across multiple studies, I find that runners systematically shift the scope of this attentional spotlight as they progress through a run. And when they do, they can run farther and faster.At the start of a run, people tend to use a wider scope of attention. They scan their environment, monitor others around them, and orient themselves to the course. But as physical demands increase and fatigue sets in, runners increasingly narrow their visual focus—often locking their gaze onto a small, goal-relevant target, like a sign, a bend in the road, or the finish line.That shift matters. When people are experimentally instructed to narrow their attention rather than keep it wide, they move faster, investing more effort, and experience less physical pain—even though the distance and physical demands remain unchanged. Narrowing attention appears to make the goal appear closer and more attainable, increasing perceptions of their own ability to surmount the challenges that lie ahead, and helping runners persist when effort becomes costly.Notably, more experienced and faster runners utilize this attentional narrowing strategy more than do slower runners. Faster runners focus their attention narrowly more intensely earlier on and scale up their narrowing as they progress through a run. The advantage faster runners have is not just physical conditioning—it’s also how they strategically deploy attention over time.Together, these findings suggest that visual attention is more than a passive perceptual process. It can function as a tool runners can strategically leverage. By learning when to broaden focus and when to narrow it, runners can better match their strategies to the changing demands of a goal—and sometimes, run farther and faster simply by changing where they look. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    3 min
  4. 4 days ago

    Amber Kerwin, Hartwick College - Understanding the Barriers to Recruitment of Women in Law Enforcement

    What are the barriers to recruitment for women in law enforcement? Amber Kerwin, professor of the practice of criminal justice at Hartwick College, looks into this question. Faculty Bio: Amber M. Kerwin is a professor of practice of criminal justice in the Sociology, Criminology & Social Services Department in the Division of Social and Behavioral Sciences at Hartwick College in Oneonta, New York. A former police officer and investigator, Kerwin’s areas of expertise include criminal justice, corrections, juvenile delinquency, policing, and police investigations. Among her recent courses taught: Introduction to Criminal Justice; Corrections & Punishment; Policing in a Democratic Society; and Introduction to Law. Her latest research, supported in part through the Hartwick College Faculty Research Grant Program, focuses on the barriers to recruitment and hiring of women in law enforcement. Transcript: Women police officers bring many positive benefits to their jobs in law enforcement. Studies have shown that women are better communicators, that they’re less likely to use physical force, and that victims of certain crimes feel more comfortable talking to them. Still, women make up a small percentage of law enforcement. Only 12 to 13 percent of total law enforcement officers in the United States currently are women. As a former police officer and investigator, I am interested in understanding why this is the case.My research focuses on the barriers to recruitment and hiring of women in law enforcement. It is important to me to identify, explore and better understand what prevents women from joining the police department or pursuing law-enforcement careers--and also understanding what makes it so hard to retain them. Through interviews with women who currently or previously worked in law enforcement, my research looks at the challenges they encounter in what remains an historically male-dominated profession. Lack of maternity- and family-related leave policies, uniforms not specifically designed for women, lack of acceptance, and harassment are all among the issues women have expressed in these conversations. Taking a closer look at the situation to gain more perspective will provide information to develop potential policy recommendations for police departments. This could help them create a more welcoming environment for women so they’re more comfortable working there. Right now, young girls and women don’t see a lot of other women in law enforcement so it’s not something that they have on their radar. A solution for that would be having more women officers do outreach to high schoolers or college students to do a more targeted recruitment effort for women.As communities across the country consider new options, this research will shed new light on the barriers to recruitment of women in law enforcement. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    3 min
  5. 5 days ago

    Dimitrios Mathios, Washington University in St. Louis - Developing a Blood-Based Test to Detect Brain Cancer Using AI

    Can artificial intelligence help us detect brain cancer early? Dimitrios Mathios, assistant professor of neurosurgery at Washington University in St. Louis, takes a non-invasive look. Faculty Bio: Dimitrios Mathios, MD, is an assistant professor of neurosurgery and director of the Molecular Neuro-oncology Lab at WashU’s School of Medicine. His research focuses on using cancer immunology, genetics, and epigenetics to develop non-invasive early detection of brain tumors, when they are easily removable or curable with other treatments.Dr. Mathios has published more than 50 peer-reviewed articles in journals like Nature Genetics, Nature Communications, Science Translational Medicine, Cancer Discovery, the Journal of Neurosurgery, the Journal of Neuro-Oncology, and Neurosurgery. His work has resulted in numerous awards, including the Young Investigator Physician Scientist Research Award at John Hopkins University School of Medicine, where he completed his residency, in 2022, and the American Association for Cancer Research-Conquer Cancer Foundation’s ASCO Young Investigator Award for Translational Cancer Research in 2020. Transcript: Diagnosing brain cancer at its earliest stages, like any cancer, is critical. But there are currently no screening methods available to detect brain cancer before a patient becomes symptomatic, or when the symptoms are as commonplace as a headache or slight personality change. As a result, brain cancer often goes undetected when treatment is the easiest, most effective, and least risky.That’s why, in 2019 I began researching a way to develop a noninvasive, blood-based test for early detection of brain cancer.Medical researchers have been looking for and finding ways to detect different kinds of cancer through blood-based tests for more than 15 years. They do this by identifying markers or other abnormalities in the blood that signal the presence of cancerous cells.But brain cancer is one of the most challenging cancers to detect in the blood. This is because the blood-brain barrier, a layer of cells that protects the brain from toxins and pathogens in the blood, prevents cancer markers from entering the bloodstream in as high concentrations as in other cancers. For this reason, detection of brain tumors requires developing more sensitive approaches for biomarker detection.This year, we reached a significant milestone in our research. We found that we could use artificial intelligence to analyze DNA fragments in the bloodstream for evidence of brain cancer. With this approach, we successfully detected brain cancer in about 75% of a cohort of more than 500 patients.The next step is to conduct a larger trial to confirm our findings in a broader population. Our end goal? To create a reliable test that emergency room doctors and primary care physicians can use when patients come to them with subtle, non-specific neurologic symptoms, giving those patients a quicker diagnosis and a better chance of survival. Read More: [Cancer Discovery] - Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    3 min
  6. 19 Jun

    Tom Grant, University at Buffalo - Predicting Protein Movements to Speed Up Drug Discovery

    On University at Buffalo Week: Speeding up drug discovery will have many benefits. Tom Grant, assistant professor in the Department of Structural Biology in the Jacobs School of Medicine and Biomedical Sciences, looks into doing so. Faculty Bio: Thomas Grant is a structural biologist whose research focuses on developing innovative analytical methods to uncover the structure and dynamics of biological macromolecules. Trained at the University at Buffalo, where he earned a BS in Mathematical Physics (2007) and a PhD in Structural and Computational Biology (2013), Grant’s research combines rigorous quantitative training with experimental expertise in X-ray crystallography, small-angle scattering, and X-ray free electron laser methodologies. His work integrates advanced computational algorithm development with cutting-edge experimental tools to generate high-resolution structural models and time-resolved “molecular movies,” illuminating how proteins and nucleic acids function within the cell and informing rational drug design. In 2025, he was awarded a $2.18 million grant from the National Institute of General Medical Sciences, part of the National Institutes of Health, to create a new artificial intelligence-powered tool that improves scientists’ understanding of how proteins move and change shape within the human body. Transcript: In the United States, it often takes 10 to 15 years to develop a new drug from its initial discovery to market approval. In my lab, we’re working on an artificial intelligence-driven project called SWAXSFold that we hope will dramatically speed up this process. So let me explain what SWAXSFold is. A few years ago, Google DeepMind released an algorithm called AlphaFold. It has had a major impact in biomedical research, winning the 2024 Nobel Prize in Chemistry. AlphaFold predicts 3D protein structures. By identifying these structures, scientists can target them with drugs that treat disease. But the reality is that many proteins are dynamic. They move around and can have many different shapes – that’s how they function and operate. This limits AlphaFold’s usefulness for drug discovery. That’s where our expertise in “SWAXS” comes in. SWAXS stands for small- and wide-angle X-ray scattering. SWAXS uses X-rays to take snapshots of proteins as they move around and change shape. It can see the different conformations a protein adopts, which is exactly what AlphaFold can’t do. So we’re developing SWAXSFold to integrate SWAXS data directly into this structure prediction process. As you can imagine, this requires intense computational resources. Our team is utilizing New York State’s supercomputing facility, Empire AI, to train SWAXSFold with our database of nearly a half million protein structures. As SWAXSFold learns from AI, it will give us unparalleled insight on how proteins change their shape, function and operate. In turn, this will improve our ability to predict protein structures and, thus, make it much easier and quicker to identify drug targets that treat everything from cancer to Alzheimer’s disease. Read More: [UBuffalo] - Researcher’s AI-powered drug discovery tool supported by Empire AI This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    3 min
  7. Rohini Srihari, University at Buffalo - AI Can Give Voice to People Who Cannot Speak

    18 Jun

    Rohini Srihari, University at Buffalo - AI Can Give Voice to People Who Cannot Speak

    On University at Buffalo Week: Can we use AI to help give those with motor neuron diseases their voices back? Rohini Srihari, professor of computer science and engineering at the School of Engineering and Applied Science, looks to do so. Faculty Bios: Rohini Srihari is a scientist, educator and entrepreneur. A professor in the Department of Computer Science and Engineering at the University at Buffalo, Srihari’s research and teaching focuses on artificial intelligence for social good, conversational AI, deep learning in natural language processing and other fields. Her work has been funded by the National Science Foundation, the Defense Advanced Research Projects Agency, the Intelligence Advanced Research Projects Activity and other agencies. She has worked extensively with the U.S. government in developing innovative multilingual text mining solutions. Srihari’s recent research focuses on advancing the state-of-the-art in socialbots capable of engaging in empathetic, interesting and purposeful conversations. This also involves building trustworthy socialbots for combating disinformation, assisting the disabled and other purposes. She has published over 100 research papers in computer science journals and conference proceedings. Her Google Scholar h-index is 40. She is also the author of two U.S. patents, one on multilingual text mining. She has served as Chief Data Scientist at PeaceTech Lab, a non-profit incubated within the United States Institute of Peace in Washington, DC. She has also founded and directed technology start-ups, focusing on “big data” analytics solutions for various markets. Two of these companies were subsequently acquired by large media analytics companies. Srihari received her B. Math degree from the University of Waterloo (Canada) and her PhD in Computer Science from the University at Buffalo. Transcript: People with motor neuron diseases such as ALS and cerebral palsy often lose the ability to speak. When this happens, they use modified keyboards or eyegaze tracking systems to communicate. But to speak, they rely upon augmentative and alternative communication devices. The late physicist Stephen Hawking is an example. Typically, people can generate about five words per minute with these devices due to their reduced motor abilities. This limits them to simple exchanges such as: “I need a glass of water.” But what these people really want is to engage in meaningful conversation. We can help with artificial intelligence, specifically an area of AI research known as personalization of large language models. Large language models are the same technology powering ChatGPT and other popular chatbots. To personalize them, the chatbot needs to know a lot about the user. It needs to know their own experiences. It needs to understand their personality. It possibly needs to recognize the gestures that they use when communicating. Here’s how it works. The user is talking to someone, the other person says something, the chatbot listens to what they say, and the speech is transcribed into text that’s fed into our chatbot. The chatbot then generates three possible responses for the user. The user either selects one of those responses as, “this is what I want to say,” or they can override that and say, “no, this isn’t what I meant.” So the goal is, with minimal input from the user, to be able to generate much longer responses, but also allowing the user to steer the conversation. We’re already testing this technology with people whose communication is limited by motor neuron diseases. And we’re running the AI models through powerful supercomputers. We’re hopeful this technology will soon be ready for widespread use, improving the lives of countless people. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    3 min
  8. 17 Jun

    Sambandamurthy Ganapathy, University at Buffalo - The Human Brain Offers Clues to How to Make AI More Energy Efficient

    On University at Buffalo Week: Finding ways to reduce AI’s energy consumption can be crucial. Sambandamurthy Ganapathy, professor of physics, explores how the human brain may have an answer. Faculty Bio: Sambandamurthy Ganapathy is a physicist who studies nanoscale materials and devices and how they relate to cutting-edge phenomena like superconductivity and resistive switching. His experimental research group, which uses advanced nanofabrication techniques, designs and develops devices smaller than one micrometer that can explore the fundamental, microscopic mechanisms that dictate physical properties. Ganapathy’s research examines electron transport in semiconductors and other atomic layers under ultra-low temperatures, high magnetic fields and other extreme physical conditions. It also investigates metal-insulator transitions, neuromorphic computing and superconductor-insulator transitions. This work strives to unlock hidden quantum phenomena in novel states of matter which manifest when subatomic particles interact. Transcript: There’s nothing in the world as efficient as the human brain. It can store and process enormous amounts of information while using very little energy. That’s why my team and I are working on computing systems designed to mimic how the brain works. This approach is called neuromorphic computing. It’s been around since the 1980s, but it’s gaining new attention as artificial intelligence makes computing more complex — and far more energy-hungry. Computers and brains are already surprisingly similar. Computers have billions of transistors that switch on and off. Brains have billions of neurons that either fire signals or stay silent. But there’s a major difference. In the brain, memory and processing happen in the same place. In traditional computers, they’re separated, so data has to constantly move back and forth. That takes a lot of energy. Neuromorphic chips aim to solve this by placing memory and processing much closer together, like the brain. That’s where my research comes in. My team studies materials with unique quantum properties that could form the foundation of these new chips. Neuromorphic computers won’t recreate consciousness, but they may solve problems in more human-like ways — especially when information is incomplete or uncertain. In the near future, they’ll likely be used for specialized tasks, like self-driving cars. So don’t expect neuromorphic chips to power your smartphone anytime soon. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.academicminute.org

    3 min

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