Cell graph neural networks enable the precise prediction of patient survival in gastric cancer

Cell graph neural networks enable the precise prediction of patient survival in gastric cancer

Abstract Gastric cancer is one of the deadliest cancers worldwide. An accurate prognosis is essential for effective clinical assessment and treatment. Spatial patterns in the tumor microenvironment (TME) are conceptually indicative of the staging and progression of gastric cancer patients. Using spa...

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Bibliographic Details
Main Authors: Yanan Wang, Yu Guang Wang, Changyuan Hu, Ming Li, Yanan Fan, Nina Otter, Ikuan Sam, Hongquan Gou, Yiqun Hu, Terry Kwok, John Zalcberg, Alex Boussioutas, Roger J. Daly, Guido Montúfar, Pietro Liò, Dakang Xu, Geoffrey I. Webb, Jiangning Song
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-022-00285-5

Internet

https://doi.org/10.1038/s41698-022-00285-5

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