Artificial Intelligence and Machine Learning Tools Reshaping Modern Genomics

The capabilities of Artificial Intelligence and Machine Learning tools have rapidly progressed, facilitating adoption in discovery and analysis applications in human genomics. This session covers a broad range areas of such application, from disease state prediction and imaging analysis to literature mining and causal variant prediction.

Learning Objectives

*    Summarize the set of machine learning approaches used across a range of genomics applications
*    Define experimental design techniques that appropriately utilize machine learning methods in scientific inference problems
*    Evaluate the capabilities and challenges in applying machine learning approaches in context of human genomics problems