Dimensions overall score 8.0

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• HGP-Mamba achieves state-of-the-art performance for cancer survival risk prediction on four public cancer datasets.result 90%
• HGP-Mamba maintains superior computational efficiency compared with existing methods.technical 85%
• The protein feature extractor (PFE) can derive high-throughput protein embeddings directly from Whole Slide Images.method 90%
• The Local Interaction-aware Mamba (LiAM) enables fine-grained feature interaction between histology and protein features.method 85%
• The Global Interaction-enhanced Mamba (GiEM) promotes holistic modality fusion at the slide level.method 85%
• The approach addresses the high cost and limited availability of protein expression profiling for survival risk prediction.market 80%
• The method enables data-efficient incorporation of molecular information from histology images alone.technical 80%
• Potential biases in generated protein features may affect the model's generalizability.limitation 70%

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