NASEM’s report on Digital Twins is now available!
“Foundational Research Gaps & Future Directions for Digital Twins,” published by the National Academies of Sciences, Engineering, and Medicine (NASEM) identifies cross-sector challenges and recommendations to support this potentially transformative approach for biomedical research. Priorities include development of multi-agency collaborations with industry to advance the mathematical, statistical, and computational…
CloseRequest for Information: Calling all Researchers and Healthcare Community Contributors
NEW NCI Childhood Cancer Data Initiative (CCDI) Request for Information (RFI) on Electronic Health Record (EHR) data! Responses due using the submission webform by February 29, 2024. NCI’s CCDI invites participation from all stakeholders across the cancer research and health care community including vendors and developers in understanding information on existing capabilities for automated EHR…
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ECICC Community MicroLab: June 11, 2019
Breakout Group Notes + Full Group Chat Log
Please select from the cancer challenge areas below to view, edit, and provide your comments.
ALL ideas, references, suggestions and critiques are welcome. Thank you!
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Breakout Group Notes: Generating Large-Scale Synthetic Data to protect Personally Identifiable Information
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Breakout Group Notes: Using Machine Learning for Iterative Hypothesis Generation
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Breakout Group Notes: Creating a Cancer Patient “Digital Twin” to optimize personalized treatment decision-making
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Breakout Group Notes: Developing Adaptive Cancer Treatments targeting unique tumor characteristics and trajectories
Summary of Action Ideas and Additional Information (DOWNLOAD)