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Graph-Guided Mixture of Experts Model Predicts Tumor Survival from Multi-Modal Data
A new arXiv preprint introduces a graph-guided mixture-of-experts approach for predicting tumor survival outcomes using multiple data modalities. The method aims to combine heterogeneous clinical inputs within a single predictive framework. The paper appears in the cs.LG category as a new submission.