Journal
Frontiers in Oncology
Publication Date
1-1-2023
Volume
13
First Page
1185738
Document Type
Open Access Publication
DOI
10.3389/fonc.2023.1185738
Rights and Permissions
Bond KM, Curtin L, Ranjbar S, Afshari AE, Hu LS, Rubin JB and Swanson KR (2023) An image-based modeling framework for predicting spatiotemporal brain cancer biology within individual patients. Front. Oncol. 13:1185738. doi: 10.3389/fonc.2023.1185738 © 2023 Bond, Curtin, Ranjbar, Afshari, Hu, Rubin and Swanson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Recommended Citation
Bond, Kamila M; Curtin, Lee; Ranjbar, Sara; Afshari, Ariana E; Hu, Leland S; Rubin, Joshua B; and Swanson, Kristin R, "An image-based modeling framework for predicting spatiotemporal brain cancer biology within individual patients." Frontiers in Oncology. 13, 1185738 (2023).
https://digitalcommons.wustl.edu/oa_4/3402
Department
ICTS (Institute of Clinical and Translational Sciences)
