HPC Models & Machine Learning
This session will be broken into two 15-minute discussions.
11:30-11:45 The first will focus on the following slides, and will be led by Julius Guccione and Denise Kirschner:
Model Credibility and Model Reusability
For inquiries in regard to these sessions, please contact Jerry Myers, jerry.g.myers@nasa.gov.
Model Credibility and Model Reusability
8:30 AM - 9:30 AM - Thursday March 22, 2018
Instructions to Speakers:
Request for Information (RFI): Soliciting Input for the National Institutes of Health (NIH) Strategic Plan for Data Science
Request for Information (RFI): Soliciting Input for the National Institutes of Health (NIH) Strategic Plan for Data Science
Working Lunches- Location Assignments
Day 1 and Day 2 Lunch
Working Groups (Room E1/E2)
Biomechanics Working Group
Beth Winkelstein (winkelst@seas.upenn.edu)
Yasin Dhaher (y-dhaher@northwestern.edu)
Challenge #10 Uncertainty Quantification
RETURN TO: Grouped Challenge: Models to Predict and Test Outcomes
Challenge #10: Predictive multiscale models that strongly incorporate Uncertainty Quantification
Uncertainty Quantification – What has been accomplished?
Challenge #7: Virtual Clinical Trials
RETURN TO: Grouped Challenge: Models to Predict and Test Outcomes
Challenge #7: Implementing virtual clinical trials with multiscale models to predict outcomes
slides: imag_msm_challenge_Group7_Virtual_Clinical_Trials_Slide_Deck_031618.pptx
Challenge #9: Models for experimentalists
Challenge_9.pptx
RETURN TO: Grouped Challenge: Models to Predict and Test Outcomes
Challenge #9: Model predictions that drive a community of experimentalists towards systematic testing and validation