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David A Hormuth

Showing results (51-60 of 73) with videos related to

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Iscience|January 3, 2024
Designing clinical trials for patients who are not averageThomas E Yankeelov, David A Hormuth, Ernesto A B F Lima, et al.
Cancers|July 2, 2021
Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging DataDavid A Hormuth, Caleb M Phillips, Chengyue Wu, et al.
Biomedical Physics & Engineering Express|May 29, 2021
Patient specific, imaging-informed modeling of rhenium-186 nanoliposome delivery via convection-enhanced delivery in glioblastoma multiformeRyan T Woodall, David A Hormuth Ii, Chengyue Wu, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
75 Years of Mathematical OncologyFranco Pradelli, Maximilian Strobl, Sadegh Marzban, et al.
Expert Review of Anticancer Therapy|September 26, 2018
Mathematical models of tumor cell proliferation: A review of the literatureAngela M Jarrett, Ernesto A B F Lima, David A Hormuth, et al.
Computers in Biology and Medicine|July 20, 2024
Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastomaChengyue Wu, David A Hormuth, Chase D Christenson, et al.
International Journal of Radiation Oncology, Biology, Physics|July 27, 2025
Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based ModelingDavid A Hormuth, Maguy Farhat, Bikash Panthi, et al.
Biophysics Reviews|May 23, 2022
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncologyChengyue Wu, Guillermo Lorenzo, David A Hormuth, et al.
Iscience|December 10, 2020
Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive OncologyAnum S Kazerouni, Manasa Gadde, Andrea Gardner, et al.
Nature Protocols|September 23, 2021
Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community settingAngela M Jarrett, Anum S Kazerouni, Chengyue Wu, et al.
Pageof 8

Showing results (51-60 of 73) with videos related to

Sort By:
Pageof 8
Iscience|January 3, 2024
Designing clinical trials for patients who are not averageThomas E Yankeelov, David A Hormuth, Ernesto A B F Lima, et al.
Cancers|July 2, 2021
Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging DataDavid A Hormuth, Caleb M Phillips, Chengyue Wu, et al.
Biomedical Physics & Engineering Express|May 29, 2021
Patient specific, imaging-informed modeling of rhenium-186 nanoliposome delivery via convection-enhanced delivery in glioblastoma multiformeRyan T Woodall, David A Hormuth Ii, Chengyue Wu, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
75 Years of Mathematical OncologyFranco Pradelli, Maximilian Strobl, Sadegh Marzban, et al.
Expert Review of Anticancer Therapy|September 26, 2018
Mathematical models of tumor cell proliferation: A review of the literatureAngela M Jarrett, Ernesto A B F Lima, David A Hormuth, et al.
Computers in Biology and Medicine|July 20, 2024
Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastomaChengyue Wu, David A Hormuth, Chase D Christenson, et al.
International Journal of Radiation Oncology, Biology, Physics|July 27, 2025
Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based ModelingDavid A Hormuth, Maguy Farhat, Bikash Panthi, et al.
Biophysics Reviews|May 23, 2022
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncologyChengyue Wu, Guillermo Lorenzo, David A Hormuth, et al.
Iscience|December 10, 2020
Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive OncologyAnum S Kazerouni, Manasa Gadde, Andrea Gardner, et al.
Nature Protocols|September 23, 2021
Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community settingAngela M Jarrett, Anum S Kazerouni, Chengyue Wu, et al.
Pageof 8