Further, their neural network was trained to recognize the pattern of ten common genomic mutations and predicted these from the slides with reasonable accuracy (0.73–0.86), especially for one of the early attempts to do so.56 This finding is noteworthy because it exemplifies the ability of machine algorithms to see patterns not easily discernible by humans.
