An image-based modeling framework for predicting spatiotemporal brain cancer biology within individual patients

Imaging is central to the clinical surveillance of brain tumors yet it provides limited insight into a tumor’s underlying biology. Machine learning and other mathematical modeling approaches can leverage paired magnetic resonance images and image-localized tissue samples to predict almost any charac...

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Detalles Bibliográficos
Autores principales: Bond, Kamila M., Curtin, Lee, Ranjbar, Sara, Afshari, Ariana E., Hu, Leland S., Rubin, Joshua B., Swanson, Kristin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578440/
https://www.ncbi.nlm.nih.gov/pubmed/37849813
http://dx.doi.org/10.3389/fonc.2023.1185738

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578440/
https://www.ncbi.nlm.nih.gov/pubmed/37849813
http://dx.doi.org/10.3389/fonc.2023.1185738

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