2023 SYMPOSIUM Agenda

2023 Symposium Videos

The 2023 UW Medical Data Science Symposium takes place February 27–28 in the Husky Union Building Lyceum (4001 East Stevens Way NE, Seattle, WA 98195 map).

The agenda below is subject to change.

DAY 1: February 27, 12:00–5:45pm
12:00 -12:30pm
Registration
12:30 – 12:45pm
Welcome and Intro Remarks
12:45 – 3:10pm
Introduction to Medical Data Science – Part I

Session Moderator: Sean Mooney, CRIO, UW Medicine

Overview of Medical Data Science | 12:45–1:15pm

  • Sean Mooney, CRIO, UW Medicine
  • Ali Shojaie, Professor of Biostatistics and Statistics (adjunct), Associate Chair, Department of Biostatistics

Human-AI Collaboration Enables More Empathic Conversations in Mental Health Support | 1:15—1:45pm

  • Tim Althoff, Professor, UW Paul G. Allen School of Computer Science & Engineering
  • Video Recording

Introduction to Digital Health and AI | 1:45—2:15pm

Software as a Medical Device | 2:15—2:45pm

  • Lynn Rose, Affiliate Associate Professor, UW School of Pharmacy
  • Video Recording
  • Mike Willingham, Director of Regulatory Affairs, Google Health
  • Video Recording

Computational Analysis of Biomedical Language: Recent Developments and Ongoing Projects | 2:45pm—3:15pm

  • Trevor Cohen, Professor, UW Biomedical Informatics and Medical Education
  • Video Recording
  • Meliha Yetisgen, Professor, UW Biomedical Informatics and Medical Education
13:15-3:30pm
 Break
3:30-5:30pm
Introduction to Medical Data Science – Part II

Session Moderator: Peter Tarczy-Hornoch, Professor, Chief Data Officer, and Chair, UW Medicine Biomedical Informatics & Medical Education

AI and Big Data Ethics in the Age of Transformative Technology | 3:30–4:00pm

  • Diane Korngiebel, AI Principles Ethicist and ELSI Scholar, Responsible Innovation, Google
  • Video Recording

AI and Changing Radiology Landscape | 4:00–4:30pm

  • Dushyant Sahani, Professor and Chair, UW Medicine Department of Radiology
  • Video Recording

Access of UW Clinical Data for Research Use | 4:30–5:00pm

  • Bas de Veer, Assistant Director, UW Medicine Research IT
  • Nic Dobbins, Principal Solutions Architect, UW Medicine Research IT
  • Video Recording

Implementing AI models at UW Medicine and Integration with Epic | 5:00–5:30pm

  • Beth Britt, Director of Data & Analytics, UW Medicine
  • Patrick Davis, Lead Epic Research Analyst, UW Medicine Research IT
  • Video Recording
5:30 – 5:45pm
Closing Remarks & Day 2 Intro
  • Sean Mooney, CRIO, UW Medicine
DAY 2: February 28, 8:00am–5:30pm
8:00–8:30am
Registration
8:30–8:45am
Welcome and Intro Remarks
  • Sean Mooney, CRIO, UW Medicine
  • Mark Richards, Provost and Executive Vice President for Academic Affairs, University of Washington
  • Eric Neil, CIO, UW Medicine
8:45–10:25am
Short Talks — UW Centers and Faculty

Session Moderator: Dushyant Sahani, MD, Professor and Chair, UW Medicine Radiology

  • Bridge2AI and Computational Ophthalmology | 8:45–9:05
    • Cecilia Lee, Associate Professor, UW Medicine Ophthalmology
    • Video Recording
  • UW AI Institute for Dynamic Systems | 9:05–9:25
    • Nathan Kutz, Professor of Applied Mathematics and Electrical and Computer Engineering, UW; Director, AI Institute in Dynamic Systems
    • Video Recording
  • UW Clinical Learning, Evidence, And Research (CLEAR) Center for Musculoskeletal Disorders | 9:25–9:45
    • Jerry Jarvik, Professor, Radiology and Neurological Surgery; Adjunct Professor, Health Services, Pharmacy and Orthopedics & Sports Medicine; Director, UW CLEAR Center for Musculoskeletal Disorders
    • Video Recording
  • eScience Institute | 9:45–10:05
    • David Beck, Director of Research, eScience Institute; Research Associate Professor, UW Chemical Engineering
    • Video Recording
  • National Alzheimer’s Coordinating Center | 10:05–10:25
    • Sarah Biber, Program Director, National Alzheimer’s Coordinating Center
    • Video Recording
10:25–10:45am
Coffee Break
10:45–11:45am
Keynote Address

Translating a Trillion Points of Data into Therapies, Diagnostics, and New Insights into Disease
Atul Butte, Priscilla Chan and Mark Zuckerberg Distinguished Professor and Director, Bakar Computational Health Sciences Institute, UCSF

Session Moderator: Su-In Lee, Professor, UW Paul G. Allen School of Computer Science & Engineering)

Video Recording
11:45am–12:15pm
Breakout Session Intro & Lunch
12:15–1:15pm
Breakout Session
Breakout 1 (Room 145)
  • Technical Platforms at UW Medicine for AI and the Learning Health System
    • Kristen Yeom, Professor, Stanford University
    • Sarah Biber, Program Director, National Alzheimer’s Coordinating Center
Breakout 2 (Room 250)
  • Care Delivery Transformation & Advanced Diagnostics
    • Graham Nichol, Professor, UW School of Medicine, Department of Internal & Emergency Medicine 
    • Swatie Rane Levendovszky, Associate Professor, UW Medicine Radiology
Breakout 3 (Room 340)
  • Societal Impacts of AI
    • Diane Korngiebel, AI Principles Ethicist and ELSI Scholar, Responsible Innovation, Google
    • Oliver J. Bear Don’t Walk IV, Postdoctoral Scholar, UW Biomedical Informatics and Medical Education
1:30–2:45pm
Short Talks: Abstracts & Invited Speakers, Part I

Session Moderator: Ali Shojaie, Professor of Biostatistics and Statistics (adjunct), Associate Chair, Department of Biostatistics

  • Self-Tracking in Health: Design Challenges and Opportunities | 1:30–1:45
    • James Fogarty, Professor, UW Paul G. Allen School of Computer Science & Engineering 
    • Video Recording
  • Language-model-based patient embeddings | 1:45–1:55
    • Su Xian, UW Medicine, Biomedical Informatics and Medical Education
  • The Early Psychosis Screener for Internet (EPSI)-SR: Predicting 12 month psychotic conversion using machine learning | 1:55–2:05
    • Benjamin Brodey, TeleSage, Inc.
  • Semi Supervised Learning Improves Model Performance for Retinal Vessel Segmentation on Infrared Reflectance Imaging | 2:05–2:15
    • Anand Rajesh, UW Medicine Ophthalmology 
  • Metabolomic signatures associated with pulmonary arterial hypertension outcomes | 2:15–2:25
    • Lu Xia, UW School of Public Health, Biostatistics
  • GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization | 2:25–2:35
    • Han Zhang, UW Paul G. Allen School of Computer Science & Engineering
  • Addressing challenges in the development of clinical risk prediction algorithms due to intermittent patient follow-up in electronic health record data | 2:35–2:45
    • Aasthaa Bansal, The Comparative Health Outcomes, Policy & Economics (CHOICE) Institute
2:45–3:00pm
Break
3:00pm–3:45pm
Panel Discussion

An Industry Perspective of Medical Data Science

Panel Moderator: Shwetak Patel, Professor, UW Allen School of Computer Science & Engineering

  • Daniel McDuff, Staff Research Scientist, Google; Affiliate Professor, UW
  • Shawn Sullivan, Cofounder & Chief Technology Officer, Phase Genomics
  • Shirley Ren, Applied Research Manager, Health AI team at Apple
  • Scott Saponas, Senior Director, Biomedical Computing, Microsoft Research
3:45–4:30pm
Short Talks: Abstracts & Invited Speakers, Part II

Session Moderator: Shannon McWeeney, Chief Data Officer, Professor and Vice Chair, Oregon Health and Science University

  • Comparative Evaluation of Commercial AI Products for Mammography Screening | 3:45–3:55
    • Christoph Lee, UW Medicine Radiology
  • TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypes | 3:55–4:05
    • Meiling Liu, Fred Hutchinson Cancer Center, Public Health Sciences
  • HarborBot: Chatbot for Social Needs Screening | 4:05–4:15
    • Gary Hsieh, UW Human Centered Design and Engineering
  • Augmenting traditional ML with VAE-based gene expression sample generation for improved prediction of cancer molecular subtypes | 4:15–4:25
    • Brian Karlberg, Oregon Health and Science University, Biomedical Engineering
4:30–5:30pm
Closing Remarks, Poster Session & Reception

Symposium Organizing Committee

IMDS is supported by the Schools of Medicine and Public Health, the College of Engineering and the Allen School for Computer Science and Engineering

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