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Agenda

Frederick, Maryland

Welcome Reception & Keynote

5:30-7 p.m.Reception
7-7:15 p.m.

 

Introductions

7:15-8:15 p.m.

 

Keynote

  • Keith R. Yamamoto, President of AAAS and Vice Chancellor for Science Policy and Strategy; Vice Dean for Research, School of Medicine, Professor of Cellular & Molecular Pharmacology; University of California San Francisco

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Morning Session: Frontiers for AI in Cancer Research

Integrating mechanistic modeling with AI; Improving measurement and reproducibility; Standards and references; AI model improvement; AI for hypothesis Generation; Cancer Patient Digital Twin.

8:30- 9 a.m.

Networking

 

9-9:15 a.m.

 

Introduction

9:15-9:45 a.m.

 

Artificial Intelligence for Generating Real-World Evidence in Cancer Care

  • Amber Simpson, Queen’s School of Computing, Queen’s University
9:50-10:20 a.m.

 

Building Bridges for AI into Clinic Takes More Than a Hammer

10:25-10:55 a.m.

 

HPC and Machine Learning for Molecular Biology: the JDACS4C Collaboration

11-11:30 a.m.

 

AI and HPC in Cancer Analytics and Synthetic Data Generation

11:35-1 p.m.

Working Lunch: Networking, discussion and collection of questions and ideas

Afternoon Session: Bias in AI for Cancer Research

Disparities in data; disparities in models; understanding limits of applicability; addressing disparities at point of care; uncertainty quantification.

1-1:30 p.m.

 

A Holistic Approach to AI-Driven Cancer Care: Developing Fair and Reliable AI Models

1:35-2:05 p.m.

 

Risks and limitations of AI for Cancer Research: Global Perspectives from a Primary Care and Population Health Viewpoint

  • Michael Green, Centre for Health Services and Policy Research, Queen’s University
2:10-2:40 p.m.

 

Diversity, Representativeness, and a Framework for Better Data Science

2:45-3:15 p.m.

 

Combined Panel Discussion – Future of AI in Cancer Research and Care

  • Presenters from Day 1
3:15-3:30 p.m.

Break

3:30-4:30 p.m.

 

Symposium Breakout Sessions -- Facilitated Discussions

  • Barriers to the use of AI in clinical care

  • Transitioning AI research to clinical application

  • Emerging frontiers for AI in cancer research and clinical care

4:30-5:15 p.m.

 

Career Horizons and Pathway -- Panel for Students and Faculty

  • Tina Hernandez-Boussard, Stanford University

  • Stephanie Harmon, National Cancer Institute

  • James Lillard, Morehouse School of Medicine (T.)

  • Amber Simpson, Queen’s University

5:15-6:15 p.m.

Reception/Networking

6:15-7:30 p.m.

 

Dinner & Remarks

Morning Session –Translating AI into Cancer 

(Groundshot) Federated learning; Sharing of results; Medical Imaging; Regulatory Solutions; health information exchanges.

8-8:30 a.m.

 

Bringing Innovation to Oncology: Are we Ready for AI?

8:35-9:05 a.m.

 

UPDATE: NEW TIME

Clinical-grade Computational Pathology: Hype and Hope for Cancer Care

 

    9:10-9:40 a.m.

     

    Interpreter of Maladies: AI for Precision Oncology and Health Disparities

    9:40-9:55 a.m.Break
    10-10:30 a.m.

     

    Translational AI Applications in Prostate Cancer

    10:35-11:05 a.m.

    UPDATE: PRESENTING VIA ZOOM

    Developing AI for Clinical Applications

      11:05 a.m.-noon

       

      Panel Discussion – Sustainable AI in Clinical Care

      • Jonathan Green, Director, Office of Human Subject Research, National Institutes of Health
      • Barbara Evans, University of Florida Wertheim College of Engineering
      • Roxanne Jensen, Division of Cancer Control and Population Sciences, National Cancer Institute
      Noon-1:30 p.m.

       

      Lunch & Concluding Thoughts

      1:30 p.m.Adjourn
      • Leonard  Freedman (FNLCR)
      • Eric Stahlberg (FNLCR)
      • Monica Slate (FNLCR)
      • Deborah Ricker (Hood College)
      • Laurie Ward (Hood College)
      • Britton Muir (Hood College)
      • Jonas Almeida (NCI)  
      • Peter Choyke (NCI)  
      • Ethan Dmitrovsky (FNLCR)                                                                  
      • Leonard Freedman (FNLCR)   
      • Marti Head (Amgen)                                                                  
      • Warren Kibbe (Duke University)
      • Daniel Rubin (Stanford University)
      • Amber Simpson (Queen’s University)
      • Eric Stahlberg (FNLCR)                                                                           
      • Kristin Swanson (Mayo Clinic)

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