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Multi-Modal Tumor Survival Prediction via Graph-Guided Mixture of Experts

arXiv · AI, language, vision and robotics · article · Sep 12, 2026 · UTC

Large Language Models (LLMs) have displayed impressive capabilities in handling tasks that require few demonstration examples, making them effective few-shot learners. Despite their potential, LLMs face challenges when it comes to addressing complex real-world tasks that involve multiple modalities or reasoning steps. For example, predicting cancer patients' survival period based on clinical data, cell slides, and genomics poses significant logistical complexities. Although several approaches have been proposed to tackle these challenges, they often fall short in achieving promising performanc

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