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

Wang, H., Argenziano, M. G., Yoon, H., Boyett, D., Save, A., Petridis, P., Savage, W., Jackson, P., Hawkins-Daarud, A., Tran, N., Hu, L., Singleton, K. W., Paulson, L., Dalahmah, O. A., Bruce, J. N., Grinband, J., Swanson, K. R., Canoll, P., & Li, J. (2024). Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma. Npj Digital Medicine, 7(1). https://doi.org/10.1038/s41746-024-01277-4
Authors:
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
Affiliated Authors:
Michael G Argenziano
Deborah Boyett
Akshay Save
Petros Petridis
William Savage
Osama Al Dalahmah
Jeffrey N Bruce
Jack Grinband
Peter Canoll
Subjects:
Publication Type:
Article
Unique ID:
10.1038/s41746-024-01277-4
PMID:
Publication Date:
Data Source:
PubMed

Record Created: