Weakly supervised CNNs can also identify actionable driver mutations across multiple cancer types7 and predict molecular features, including somatic mutation status such as TP53 and PTEN, microsatellite instability, and molecular subtypes.3 This evidence concerns the gene TP53 and cancer.