Deep learning with multimodal representation for pancancer prognosis prediction

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Pancancer survival prediction using a deep learning architecture with multimodal representation and integration

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MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data

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PG-TFNet: Transformer-based Fusion Network Integrating Pathological Images and Genomic Data for Cancer Survival Analysis

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Adversary-Aware Multimodal Neural Networks for Cancer Susceptibility Prediction From Multiomics Data

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A multimodal deep learning infused with artificial algae algorithm – An architecture of advanced E-health system for cancer prognosis prediction

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Should AI-Enabled Medical Devices be Explainable?

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From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction

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