The biopharmaceutical industry continues to invest heavily in technologies for identification of predictive biomarkers. Drug developers want not only to find quantitative evidence that their therapies will work as designed, but also to anticipate which patient populations will respond positively to those regimens. Doing that could streamline clinical trials, accelerate approvals, and ultimately improve patient outcomes. Advances in next-generation sequencing and increases in computational capability now are facilitating biomarker inquiries, especially in the realm of immunooncology. However, predictive biomarkers remain…