By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic applications.

A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...