Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma

Abstract Intratumoral heterogeneity poses a significant challenge to the diagnosis and treatment of recurrent glioblastoma. This study addresses the need for non-invasive approaches to map heterogeneous landscape of histopathological alterations throughout the entire lesion for each patient. We deve...

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Detalles Bibliográficos

Principais autores:	Hairong Wang, Michael G. Argenziano, Hyunsoo Yoon, Deborah Boyett, Akshay Save, Petros Petridis, William Savage, Pamela Jackson, Andrea Hawkins-Daarud, Nhan Tran, Leland Hu, Kyle W. Singleton, Lisa Paulson, Osama Al Dalahmah, Jeffrey N. Bruce, Jack Grinband, Kristin R. Swanson, Peter Canoll, Jing Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2024-10-01
Series:	npj Digital Medicine
Acceso en liña:	https://doi.org/10.1038/s41746-024-01277-4
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