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ProDyn0: Inferring calponin homology domain stretching behavior using graph neural networks
Graph neural networks are a quickly emerging field for non-Euclidean data that leverage the inherent graphical structure to predict node, edge, and global-level properties of a system.
Fast and accurate classification of echocardiograms using deep learning
The essential first step toward comprehensive computer assisted echocardiographic interpretation is determining whether computers can learn to recognize standard views.
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