UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

In 2020, UHG deployed graph to track COVID-related hospitalizations, discharges, test results, and more at a provider and county level. Another use case involves predicting potential patient adverse ...