UW Medical Data Science Symposium Agenda - Thursday, Feb 6, 2025

ALL SESSIONS NOW VIRTUAL DUE TO INCLEMENT WEATHER

Last updated: Feb. 6, 2025 at 7:50 a.m.

IMDS Symposium Virtual Meeting Room 

Join via URL Link: https://washington.zoom.us/my/imds2025 

Meeting ID: 206 543 2259 

10:30 a.m.

Opening Remarks

10:35 a.m.

IMDS Pilot Award updates

Moderator: Trevor Cohen, MBChB, PhD, FACMI, Professor Biomedical Informatics and Medical Education (BIME)

  • Interpretable and Multimodal Deep Learning to Enhance Clinical Breast Cancer Risk Prediction

  • 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 

12:00 p.m.

Keynote speaker

"From AI Aspirations to Healthcare Futures" 

Eric Horvitz, MD, PhD, Chief Scientific Officer, Microsoft

Abstract: Advances in large language models are generating significant interest and fueling enthusiasm for their potential to contribute to addressing long-standing challenges in biomedical informatics, healthcare delivery, and public health. Progress in task-specific accuracies and the emergence of new capabilities have been largely driven by the increasing scale of data and compute. Boosts in general capabilities, along with recent innovations, such as advancements in multimodal modeling, inference-time reasoning, and multiagent platforms, are framing new opportunities to enhance clinical decision support, medical education, and research. I will trace the arc of AI developments in medicine over several decades and then focus on recent advances. Through a series of studies and examples, I will explore directions and possibilities and share reflections on the opportunities and challenges that lie ahead.

1:00 p.m.

Panel discussion: Ethical AI

Facilitator: Ali Shojaie, PhD, Professor and Associate Chair for Strategic Research Affairs , Biostatistics; Professor of Statistics

Panelists:

  • Diane M. Korngiebel, DPhil, AI Ethicist, Google; Associate Professor, UW Biomedical Informatics and Medical Education, University of Washington
  • Jeff Leek, PhD, Vice President and Chief Data Officer, Fred Hutch Cancer Center
  • Yulia Tsvetkov, PhD, Associate Professor, Paul G. Allen School of Computer Science & Engineering, University of Washington
  • Andrew White, MD, Associate CMIO, University of Washington

2:00 p.m.

Poster short talks

  • Adaptive AI Models for Personalized Laboratory Reference Intervals, Cindy Zhang, University of Washington Medical Center
  • Cohort research with University of Washington ADVANCE network - driving local and multi-site data-driven research on Emergency Department patient cohorts, Jimmy Phuong, Biomedical Informatics and Medical Education, University of Washington
  • Focus on the Patient, not the Label: Developing a Computer Vision System to Predict Drug Concentrations from Syringe Labels in the OR, Willis Silliman, Department of Anesthesiology & Pain Medicine, UW Medicine
  • High-fidelity predictions of diffusion in the brain microenvironment, Nels Schimek, Department of Chemistry, University of Washington
  • Natural Language Processing to support nurse text messaging for maternal-child health in Kenya: a pilot study, Keshet Ronen, Department of Global Health, University of Washington

3:30 p.m.

Closing remarks