An explainable graph neural network called SpaCEy identifies the spatial tissue patterns and protein markers that predict ...

Graph analytics is aiding the Technical University of Denmark in its fight against childhood cancer. Graph analytics takes advantage of graph databases, which differ from traditional relational ...

The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat. Preventing and treating cancer has become a global priority, with identifying ...

The analysis of cancer biology data involves extremely heterogeneous data sets, including information from RNA sequencing, genome-wide copy number, DNA methylation data reporting on epigenetic ...

GNN, a graph neural network that combines cross-attention-based multi-omics integration with long-tail expert routing to ...

Phase I study of paclitaxel in combination with cyclophosphamide and granulocyte colony-stimulating factor in metastatic breast cancer patients. Clinicians who counsel women about their risk for ...

As the sources, types, and amounts of data continue to expand, so will the need for different kinds of analytics to make something of that data. Unfortunately, there is not a one-size-fits-all ...

Japanese people will get cancer.' This is a figure we often hear, but what M was curious about was what age range this ...