2025 IMDS Symposium Pilot Award Winner Presentations

• Interpretable and Multimodal Deep Learning to Enhance Clinical Breast Cancer Risk Prediction Presenter: Ojas Ramwala, PhD student, BIME Christoph Lee, MD, MS, MBA, UW Professor of Radiology Matthew Nyflot, PhD, Associate Professor, UW Radiation Oncology and Radiology • Synthesizing composite tau-PET images from 3D MRI through a novel, diffusion-inspired machine learning framework Presenter: Agam Chopra, PhD student Mehmet Kurt, PhD, UW Associate Professor of Mechanical Engineering and Adjunct Associate Professor of Radiology Swati Rane Levendovszky, PhD, UW Associate Professor of Radiology • Towards Automatic Identification of Patients in Need of Long COVID Care with Natural Language Processing Method Meliha Yetisgen, UW Professor of Biomedical Informatics and Adjunct Professor Department of Linguistics Kari Stephens, PhD, licensed clinical psychologist with UW Medicine, UW assistant professor of Psychiatry and Behavioral Sciences and adjunct assistant professor of Biomedical Informatics and Medical Education • Integration of digital pathology and multiparametric MRI features for improved prediction of patient outcome in triple negative breast cancer Savannah Partridge, PhD, Professor of Radiology Shachi Mittal, PhD, UW Assistant Professor of Chemical Engineering and Adjunct Assistant Professor, Department of Laboratory Medicine and Pathology, School of Medicine Anum Kazerouni, PhD, postdoctoral researcher, UW Quantitative Breast Imaging Lab • Using machine learning to optimize prediction of extubation failure and clinical action Presenter: Izzy Chaiken, PhD student, Information Science Mark Wurfel, M.D., PhD, board certified physician at the Chest Clinic at Harborview, UW David J. Pierson, M.D., Endowed Professor of Pulmonary and Critical Care Medicine, and UW professor of Medicine and Pulmonary, Critical Care and Sleep Medicine Lucy Wang, PhD, UW Assistant Professor at Information School. Adjunct Assistant Professor, UW Human Centered Design & Engineering, UW Biomedical Informatics & Medical Education, and UW Computer Science & Engineering The University of Washington is committed to ensuring digital accessibility in our services, programs, and activities. If you encounter accessibility barriers using videos found on this channel, please contact UW Video at uwvideo [at] uw [dot] edu.