Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling

por Hormuth, David A., Jarrett, Angela M., Yankeelov, Thomas E.
Publicado 2020

A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data

por Liu, Junyan, Hormuth, David A., Yang, Jianchen, Yankeelov, Thomas E.
Publicado 2022

Towards an Image-Informed Mathematical Model of In Vivo Response to Fractionated Radiation Therapy

por Hormuth, David A., Jarrett, Angela M., Davis, Tessa, Yankeelov, Thomas E.
Publicado 2021

PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects

por Gonçalves, Inês G., Hormuth, David A., Prabhakaran, Sandhya, Phillips, Caleb M., García-Aznar, José Manuel
Publicado 2023

Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation

por Yang, Jianchen, Virostko, Jack, Liu, Junyan, Jarrett, Angela M., Hormuth, David A., Yankeelov, Thomas E.
Publicado 2023

Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation

por Hormuth, David A., Al Feghali, Karine A., Elliott, Andrew M., Yankeelov, Thomas E., Chung, Caroline
Publicado 2021

An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines

por Yang, Jianchen, Virostko, Jack, Hormuth, David A., Liu, Junyan, Brock, Amy, Kowalski, Jeanne, Yankeelov, Thomas E.
Publicado 2021

Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma

por Slavkova, Kalina P., Patel, Sahil H., Cacini, Zachary, Kazerouni, Anum S., Gardner, Andrea L., Yankeelov, Thomas E., Hormuth, David A.
Publicado 2023

Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma

por Slavkova, Kalina P., Patel, Sahil H., Cacini, Zachary, Kazerouni, Anum S., Gardner, Andrea L., Yankeelov, Thomas E., Hormuth, David A.
Publicado 2023

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data

por Lorenzo, Guillermo, Ahmed, Syed Rakin, Hormuth, David A., Vaughn, Brenna, Kalpathy-Cramer, Jayashree, Solorio, Luis, Yankeelov, Thomas E., Gomez, Hector
Publicado 2023

Experimentally-driven mathematical modeling to improve combination targeted and cytotoxic therapy for HER2+ breast cancer

por Jarrett, Angela M., Shah, Alay, Bloom, Meghan J., McKenna, Matthew T., Hormuth, David A., Yankeelov, Thomas E., Sorace, Anna G.
Publicado 2019

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

Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer

por Kazerouni, Anum S., Hormuth, David A., Davis, Tessa, Bloom, Meghan J., Mounho, Sarah, Rahman, Gibraan, Virostko, John, Yankeelov, Thomas E., Sorace, Anna G.
Publicado 2022

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

Towards integration of (64)Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer

por Jarrett, Angela M., Hormuth, David A., Adhikarla, Vikram, Sahoo, Prativa, Abler, Daniel, Tumyan, Lusine, Schmolze, Daniel, Mortimer, Joanne, Rockne, Russell C., Yankeelov, Thomas E.
Publicado 2020

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

Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data()()

por Jarrett, Angela M., Hormuth, David A., Wu, Chengyue, Kazerouni, Anum S., Ekrut, David A., Virostko, John, Sorace, Anna G., DiCarlo, Julie C., Kowalski, Jeanne, Patt, Debra, Goodgame, Boone, Avery, Sarah, Yankeelov, Thomas E.
Publicado 2020

Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials

por Alkim, Emel, Dowst, Heidi, DiCarlo, Julie, Dobrolecki, Lacey E., Hernández-Herrera, Anadulce, Hormuth, David A., Liao, Yuxing, McOwiti, Apollo, Pautler, Robia, Rimawi, Mothaffar, Roark, Ashley, Srinivasan, Ramakrishnan Rajaram, Virostko, Jack, Zhang, Bing, Zheng, Fei, Rubin, Daniel L., Yankeelov, Thomas E., Lewis, Michael T.
Publicado 2023

An Online Repository for Pre-Clinical Imaging Protocols (PIPs)

por Gammon, Seth T., Cohen, Allison S., Lehnert, Adrienne L., Sullivan, Daniel C., Malyarenko, Dariya, Manning, Henry Charles, Hormuth, David A., Daldrup-Link, Heike E., An, Hongyu, Quirk, James D., Shoghi, Kooresh, Pagel, Mark David, Kinahan, Paul E., Miyaoka, Robert S., Houghton, A. McGarry, Lewis, Michael T., Larson, Peder, Sriram, Renuka, Blocker, Stephanie J., Pickup, Stephen, Badea, Alexandra, Badea, Cristian T., Yankeelov, Thomas E., Chenevert, Thomas L.
Publicado 2023