Deep Learning in Pathology infographic demonstrates survival modeling methods using contemporary machine learning techniques to predict disease progression, metastasis, and survival. Text reads Biopsy and genomic analysis; Deep learning survival model; Prediction; Molecular features; Digital pathology; histology; IDH mutation; 1p/199 co-deletion; Genomics; diagnosis (time = 0); worse?; better?
Deep-learning enables accurate prediction of clinical survival outcomes using unstructured and high-dimensional histology and genomic data from cancer biopsies.

Adapted from Mobadersany et al, PNAS, 115(13), pp. 2970-2979, March 2018 and Yousefi et al, Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models, Scientific Reports, 7(11707), September 2017.