Making Sense of MAVEs: How Machine Learning and Human Expertise are Improving Variant Classification and Clinical Actionability

Automation and AI have the power to transform gene variant classification, yielding deeper insights, lower rates of variants of uncertain significance (VUS) and improved clinical actionability. This webinar explores the benefits of multiplexed assays of variant effects (MAVEs) to systematically characterize variant effects on molecular functions, and how scientists are incorporating those data to reclassify variants, reduce VUS and enhance clinical actionability.

Speakers:

Chris Tan, MS, CGC, Senior Scientific Program Manager, Labcorp
David Stafford, PhD, Research Scientist, Genetic Insights Group, Labcorp 
Samskruthi Padigepati, MS, Senior Machine Learning Scientist, Labcorp