Following soon afterwards, Coudray et al. showed that deep learning could classify cancer subtypes effectively and, even more promisingly, could also predict gene alterations directly from lung adenocarcinoma H&E images, achieving 0.733 to 0.856 AUC for mutations in STK11, EGFR, FAT1, SETBP1, KRAS and TP5314. Here, EGFR is linked to lung adenocarcinoma.