Using Machine Learning to Detect Cancer Early

GRAIL's mission is to detect cancer early, when it can be cured. Building a classifier that can detect cancer early in a clinical setting is a complicated endeavor with unique challenges: data acquisition and stabilization can take years; cancer status (labels) can be ambiguous, noisy, and changing; sequencing data can be enormous and presents scaling issues. Because the cancer early detection machine learning classifier is being built in the context of a clinical trial environment, an extra level of rigor and planning is required.