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

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

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

Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and ...

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Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...