Dr. Anup Mishra, Assistant Professor of Biomedical Informatics, Mayo Clinic, USA.               Dr. Anup serves as an Assistant Professor of Biomedical Informatics in the Mayo Clinic College of Medicine and Science, with teaching and examining privileges in the Mayo Clinic Graduate School of Biomedical Sciences. He serves as the lead AI Scientist in the Pancreatic Cancer Early Detection Research Program within Mayo Clinic’s Division of Gastroenterology and Hepatology. Dr. Mishra holds M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Missouri, Columbia where his research focused on using machine learning to predict health risks from electronic health records and sensor data. He is a Senior Member of IEEE and an active member of American Medical Informatics Association (AMIA). His current research centers on the early detection of pancreatic cancer risk, employing natural language processing, machine learning, deep learning, and explainable AI. He also leads efforts to reduce electronic health record (EHR) documentation burden through the development of clinical AI applications at Mayo Clinic and contributes to the AMIA 25×5 Task Force Impact Workstream to define EHR documentation burden. Additionally, Dr. Mishra is a member of the EHR Information Retrieval Work Group within the Coalition for Health AI (CHAI), providing guidelines for the responsible use of AI in healthcare. He received the 2025 Young Investigator Award from the American Pancreas Association and has presented his AI and health informatics research at major conferences across the United States and Europe, including IEEE, ACM, and APA. Dr. Mishra is an active reviewer for high-impact journals such as JAMIA, The Lancet, and the American Journal of Gastroenterology. As a co-investigator, he has secured funding from the Mayo Clinic President’s Strategic Initiative Fund and the Mayo Clinic Comprehensive Cancer Center to advance AI-driven pancreatic cancer risk stratification and to develop novel agentic AI models aimed at alleviating nurse documentation burden in gastroenterology clinics.