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Plos Computational Biology|February 27, 2020
From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment responseJill A Gallaher, Susan C Massey, Andrea Hawkins-Daarud, et al.
Mathematical Biosciences and Engineering : MBE|October 30, 2020
Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populationsBethan Morris, Lee Curtin, Andrea Hawkins-Daarud, et al.
Plos One|March 29, 2020
Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastomaSusan Christine Massey, Haylye White, Paula Whitmire, et al.
JCO Clinical Cancer Informatics|January 18, 2019
Distinct Phenotypic Clusters of Glioblastoma Growth and Response Kinetics Predict SurvivalCorbin A Rayfield, Fillan Grady, Gustavo De Leon, et al.
NPJ Digital Medicine|October 19, 2024
Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastomaHairong Wang, Michael G Argenziano, Hyunsoo Yoon, et al.
American Journal of Clinical Oncology|July 26, 2019
ENvironmental Dynamics Underlying Responsive Extreme Survivors (ENDURES) of Glioblastoma: A Multidisciplinary Team-based, Multifactorial Analytical ApproachSandra K Johnston, Paula Whitmire, Susan C Massey, et al.
The Journal of Clinical Investigation|August 9, 2014
Gene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patientsJennifer E Adair, Sandra K Johnston, Maciej M Mrugala, et al.
Medrxiv : the Preprint Server for Health Sciences|July 28, 2023
Image-based models of T-cell distribution identify a clinically meaningful response to a dendritic cell vaccine in patients with glioblastomaKamila M Bond, Lee Curtin, Andrea Hawkins-Daarud, et al.
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