OCTOBER 29, 2018
| 7:30 am | Registration |
| 8:00 am | Welcome from the National Cancer Policy Forum and the Board on Mathematical Sciences and Analytics |
| Christopher Cogle, University of Florida | |
| Chair, Workshop Planning Committee | |
| David Chu, Institute for Defense Analyses | |
| Member, Board on Mathematical Sciences and Analytics | |
| 8:15 am | Session 1: Workshop Overview |
| Moderator: Hedvig Hricak, Memorial Sloan Kettering Cancer Center | |
| Precision Oncology: The Optimism and Pessimism from Keyboard to Bedside | |
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| Brief Review of Improving Cancer Diagnosis and Care: Patient Access to Oncologic Imaging and Pathology Expertise and Technologies (February 2018, National Cancer Policy Forum Workshop) | |
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| Keynote: A Roadmap for Translating Precision Oncology into Clinical Practice | |
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| Panel Discussion | |
| 10:10 am | Break |
| 10:15 am | Session 2: Defining Unmet Needs and Challenges of Precision Oncology in Clinical Practice |
| Moderator: Christopher Cogle, University of Florida | |
| High-Dimensional Data in Precision Oncology: Signal and Hype | |
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| Biologic and Metaphysical Limits to Pursuing Precision Oncology | |
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| The Risks of Bias and Inequities in Precision Oncology Care | |
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| Communication Challenges in Precision Oncology | |
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| Panel Discussion | |
| 12:15 pm | Lunch |
| 1:00 pm | Session 3: Data Considerations for Precision Oncology Care |
| Moderator: Amy Abernethy, Flatiron Health | |
| Envisioning Critical Features of Datasets for Precision Oncology Care | |
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| Opportunities and Lessons Learned from AACR’s Project GENIE | |
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| Data Standardization and Harmonization | |
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| Data Governance, Privacy, and Security | |
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| Panel Discussion | |
| Includes speakers and | |
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| 3:00 pm | Break |
| 3:15 pm | Session 4: Analysis and Interpretation of Computational Methods for Precision Oncology Care |
| Moderator: Constantine Gatsonis, Brown University | |
| Conceptual Strategies for Reproducibility of Precision Oncology Data and Methods | |
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| Validation and Replicability of Prediction Algorithms in Oncology | |
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| Assessing Readiness of an Omics Signature for Use in a Clinical Trial | |
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| Regulation and Assessment of Quantitative Imaging Tools Used in Precision Oncology | |
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| Digital Clinical Trials for Oncology Patients with Novel Machine Learning and Artificial Intelligence Architectures | |
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| Panel Discussion | |
| 5:30 pm | Adjourn Day 1 |
| 5:35 pm | Reception |
October 30, 2018
| 7:30 am | Registration and Breakfast |
| 8:00 am | Session 5: Clinical Application of Precision Oncology: Improving the Translation of Omics Technologies in Cancer Care |
| Moderator: Mia Levy, Vanderbilt University | |
| Demonstrating Clinical Utility in Cancer Patient Management | |
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| Health Care Delivery Models and Infrastructure for Precision Oncology Care | |
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| Scaling Precision Oncology Care: Lessons Learned from Implementing Artificial Intelligence Across Health Care and Community Settings | |
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| Health Insurance Coverage Issues | |
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| Panel Discussion | |
| Include speakers and | |
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| 10:00 am | Break |
| 10:15 am | Session 6: Panel Discussion: Stakeholder Perspectives of the Path Forward |
| Moderator: David Magnus, Stanford University | |
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| 11:30 am | Workshop Wrap Up |
| Christopher Cogle, University of Florida | |
| Chair, Workshop Planning Committee | |
| 11:45 am | Adjourn |
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