Tumor-infiltrating lymphocytes (TILs) were identified from standard pathology cancer images by a deep-learning derived ‘‘computational stain’’ developed by Saltz et al. They processed 5,202 digital images from 13 cancer types. Resulting TIL maps were correlated with TCGA molecular data, relating TIL content to survival, tumor subtypes, and immune profiles.