Effective drug combination prediction is crucial for the success of drug discovery, but it is a challenging task due to drug-drug interactions and potential adverse drug reactions. In this work, a ...

Therefore, we propose the graph reconstruction attention fusion network, which availably promotes the multimodal fusion process by combining sequence learning with graph learning. First, we design a ...

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