MicroLab on Cancer Challenges and Advanced Computing

Join us for the 2nd Online MicroLab on Cancer Challenges and Advanced Computing! A MicroLab is a 60-90 minute, highly interactive virtual event. Unlike webinars which are focused on disseminating information, MicroLabs facilitate stimulating scientific discussions in smaller, more intimate virtual breakout groups. Building on the breakout discussions from the 1st MicroLab, participants will develop use cases based on the four cancer challenge areas identified at the Envisioning Computational Innovations for Cancer Challenges (ECICC) Scoping Meeting:

1. Generating Large-Scale Synthetic Data to Protect Personally Identifiable Information
   • Presenters: Nick Anderson, University of California, Davis; Bill Richards, Brigham and Women's Hospital / Harvard University
      
2. Using Machine Learning for Iterative Hypothesis Generation
   • Presenter: Amber Simpson, Queen's University
      
3. Creating a Cancer Patient "Digital Twin" to Optimize Personalized Treatment Decision-Making
   • Presenters: Tina Hernandez-Boussard, Stanford University; Paul Macklin, Indiana University
      
4. Developing Adaptive Cancer Treatments Targeting Unique Tumor Characteristics and Trajectories
   • Presenter: John McPherson, University of California, Davis

Participation in the 2nd Online MicroLab will provide participants with an opportunity to develop a use case and identify the next critical steps that will help shape future research in computational oncology.