Simple Summary Prostate cancer has very varied appearances when examined under the
microscope, and it is difficult to distinguish clinically significant cancer from indolent disease.
In this study, we use computer analyses inspired by neurons, so-called 'neural networks', to
gain new insights into the connection between how tissue looks and underlying genes
which program the function of prostate cells. Neural networks are 'trained'to carry out specific
tasks, and training requires large numbers of training examples. Here, we show that a …