demonstrated in a training data set of 198 NSCLC patients with a testing data set of 103 patients that their algorithm could predict EGFR mutations automatically with a ROC-AUC of 0.84 (95% CI, 0.75–0.90) (34). The gene discussed is EGFR; the disease is non-small cell lung carcinoma.