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

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...