A data assimilation framework to predict the response of glioma cells to radiation by Junyan Liu, David A. Hormuth II, Jianchen Yang, Thomas E. Yankeelov

Get full text

PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects by Inês G. Gonçalves, David A. Hormuth II, Sandhya Prabhakaran, Caleb M. Phillips, José Manuel García-Aznar

Get full text

Predicting the spatio-temporal response of recurrent glioblastoma treated with rhenium-186 labelled nanoliposomes by Chase Christenson, Chengyue Wu, David A. Hormuth, II, Shiliang Huang, Ande Bao, Andrew Brenner, Thomas E. Yankeelov

Get full text

A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin by Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov

Get full text

Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology by Anum S. Kazerouni, Manasa Gadde, Andrea Gardner, David A. Hormuth, II, Angela M. Jarrett, Kaitlyn E. Johnson, Ernesto A.B. F. Lima, Guillermo Lorenzo, Caleb Phillips, Amy Brock, Thomas E. Yankeelov

Get full text

Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data by Angela M. Jarrett, David A. Hormuth, II, Chengyue Wu, Anum S. Kazerouni, David A. Ekrut, John Virostko, Anna G. Sorace, Julie C. DiCarlo, Jeanne Kowalski, Debra Patt, Boone Goodgame, Sarah Avery, Thomas E. Yankeelov

Get full text