Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan‐Cancer

Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan‐Cancer

Abstract Understanding the prognosis of cancer patients is crucial for enabling precise diagnosis and treatment by clinical practitioners. Multimodal fusion models based on artificial intelligence (AI) offer a comprehensive depiction of the tumor heterogeneity landscape, facilitating more accurate p...

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Bibliographic Details
Main Authors: Feng Gao, Junxiang Ding, Baowen Gai, Du Cai, Chuling Hu, Feng‐Ao Wang, Ruikun He, Junwei Liu, Yixue Li, Xiao‐Jian Wu
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Advanced Science
Subjects:
artificial intelligence
interpretable bridged multimodal fusion model
pan‐cancer
survival prediction
Online Access:https://doi.org/10.1002/advs.202407060
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https://doi.org/10.1002/advs.202407060

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