Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response

por Duswald, Tobias, Lima, Ernesto A.B.F., Oden, J. Tinsley, Wohlmuth, Barbara
Publicado 2023

Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response

por Duswald, Tobias, Lima, Ernesto A.B.F., Oden, J. Tinsley, Wohlmuth, Barbara
Publicado 2023

A hybrid model of tumor growth and angiogenesis: In silico experiments

por Phillips, Caleb M., Lima, Ernesto A. B. F., Woodall, Ryan T., Brock, Amy, Yankeelov, Thomas E.
Publicado 2020

Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect

por Johnson, Kaitlyn E., Howard, Grant, Mo, William, Strasser, Michael K., Lima, Ernesto A. B. F., Huang, Sui, Brock, Amy
Publicado 2019

Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth

por Lima, Ernesto A. B. F., Faghihi, Danial, Philley, Russell, Yang, Jianchen, Virostko, John, Phillips, Caleb M., Yankeelov, Thomas E.
Publicado 2021

Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis

por Phillips, Caleb M., Lima, Ernesto A. B. F., Gadde, Manasa, Jarrett, Angela M., Rylander, Marissa Nichole, Yankeelov, Thomas E.
Publicado 2023

Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities

por Jarrett, Angela M., Faghihi, Danial, Hormuth, David A., Lima, Ernesto A. B. F., Virostko, John, Biros, George, Patt, Debra, Yankeelov, Thomas E.
Publicado 2020

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas

por Chaudhuri, Anirban, Pash, Graham, Hormuth, David A., Lorenzo, Guillermo, Kapteyn, Michael, Wu, Chengyue, Lima, Ernesto A. B. F., Yankeelov, Thomas E., Willcox, Karen
Publicado 2023

Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data

por Hormuth, David A., Phillips, Caleb M., Wu, Chengyue, Lima, Ernesto A. B. F., Lorenzo, Guillermo, Jha, Prashant K., Jarrett, Angela M., Oden, J. Tinsley, Yankeelov, Thomas E.
Publicado 2021

Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology

por Kazerouni, Anum S., Gadde, Manasa, Gardner, Andrea, Hormuth, David A., Jarrett, Angela M., Johnson, Kaitlyn E., Lima, Ernesto A.B. F., Lorenzo, Guillermo, Phillips, Caleb, Brock, Amy, Yankeelov, Thomas E.
Publicado 2020

Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil

por Oliveira, Juliane F., Jorge, Daniel C. P., Veiga, Rafael V., Rodrigues, Moreno S., Torquato, Matheus F., da Silva, Nivea B., Fiaccone, Rosemeire L., Cardim, Luciana L., Pereira, Felipe A. C., de Castro, Caio P., Paiva, Aureliano S. S., Amad, Alan A. S., Lima, Ernesto A. B. F., Souza, Diego S., Pinho, Suani T. R., Ramos, Pablo Ivan P., Andrade, Roberto F. S.
Publicado 2021

The 2019 mathematical oncology roadmap

por Rockne, Russell C, Hawkins-Daarud, Andrea, Swanson, Kristin R, Sluka, James P, Glazier, James A, Macklin, Paul, Hormuth, David A, Jarrett, Angela M, Lima, Ernesto A B F, Oden, J Tinsley, Biros, George, Yankeelov, Thomas E, Curtius, Kit, Bakir, Ibrahim Al, Wodarz, Dominik, Komarova, Natalia, Aparicio, Luis, Bordyuh, Mykola, Rabadan, Raul, Finley, Stacey D, Enderling, Heiko, Caudell, Jimmy, Moros, Eduardo G, Anderson, Alexander R A, Gatenby, Robert A, Kaznatcheev, Artem, Jeavons, Peter, Krishnan, Nikhil, Pelesko, Julia, Wadhwa, Raoul R, Yoon, Nara, Nichol, Daniel, Marusyk, Andriy, Hinczewski, Michael, Scott, Jacob G
Publicado 2019