Session Description: The use of AI and machine learning has become routine in many areas of healthcare. This session will include discussions on the use of machine learning techniques to identify biomarkers and predict complex traits, estimating tumor purity and potential sources of bias, and considerations for constructing effective machine learning models.
Learning Objectives:
Introduction to AI/ML pipeline for deep phenotyping and predictive analytics
Describe an approach for using weakly supervised models for digital pathology
Identify ways to reduce bias and improve training data
