Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma

Multi-omic data, i.e., clinical measures, radiomic, and genetic data, capture multi-faceted tumor characteristics, contributing to a comprehensive patient risk assessment. Here, we investigate the additive value and independent reproducibility of integrated diagnostics in prediction of overall survi...

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Detalles Bibliográficos
Autores principales: Fathi Kazerooni, Anahita, Saxena, Sanjay, Toorens, Erik, Tu, Danni, Bashyam, Vishnu, Akbari, Hamed, Mamourian, Elizabeth, Sako, Chiharu, Koumenis, Costas, Verginadis, Ioannis, Verma, Ragini, Shinohara, Russell T., Desai, Arati S., Lustig, Robert A., Brem, Steven, Mohan, Suyash, Bagley, Stephen J., Ganguly, Tapan, O’Rourke, Donald M., Bakas, Spyridon, Nasrallah, MacLean P., Davatzikos, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130299/
https://www.ncbi.nlm.nih.gov/pubmed/35610333
http://dx.doi.org/10.1038/s41598-022-12699-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130299/
https://www.ncbi.nlm.nih.gov/pubmed/35610333
http://dx.doi.org/10.1038/s41598-022-12699-z

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