Publications by authors named "David A Hormuth"

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Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based Modeling.
David A Hormuth, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker

Int J Radiat Oncol Biol Phys· December 2025

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Speaking Mathematical Models into Existence.
Ernesto A B F Lima, David A Hormuth, Thomas E Yankeelov

Cancer Res· December 2025

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Investigating the Limits of Predictability of Magnetic Resonance Imaging-Based Mathematical Models of Tumor Growth.
Megan F LaMonica, Thomas E Yankeelov, David A Hormuth

Cancers (Basel)· October 2025

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A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiation.
Hugo J M Miniere, David A Hormuth, Ernesto A B F Lima, Maguy Farhat, Bikash Panthi

BMC Cancer· July 2025

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Personalizing neoadjuvant chemotherapy regimens for triple-negative breast cancer using a biology-based digital twin.
Chase Christenson, Chengyue Wu, David A Hormuth, Jingfei Ma, Clinton Yam

NPJ Syst Biol Appl· May 2025

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Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology.
Graham Pash, Umberto Villa, David A Hormuth, Thomas E Yankeelov, Karen Willcox

ArXiv· May 2025

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A critical assessment of artificial intelligence in magnetic resonance imaging of cancer.
Chengyue Wu, Meryem Abbad Andaloussi, David A Hormuth, Ernesto A B F Lima, Guillermo Lorenzo

Npj Imaging· April 2025

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Validating the predictions of mathematical models describing tumor growth and treatment response.
Guillermo Lorenzo, David A Hormuth, Chengyue Wu, Graham Pash, Anirban Chaudhuri

ArXiv· February 2025

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

Cancer Biol Ther· December 2024

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Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition.
Chase Christenson, Chengyue Wu, David A Hormuth, Casey E Stowers, Megan LaMonica

J Comput Sci· October 2024

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Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma.
Chengyue Wu, David A Hormuth, Chase D Christenson, Ryan T Woodall, Michael R A Abdelmalik

Comput Biol Med· September 2024

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Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data.
Guillermo Lorenzo, Syed Rakin Ahmed, David A Hormuth, Brenna Vaughn, Jayashree Kalpathy-Cramer

Annu Rev Biomed Eng· July 2024

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The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI-Dynamic Contrast-Enhanced challenge.
Eve S Shalom, Harrison Kim, Rianne A van der Heijden, Zaki Ahmed, Reyna Patel, David A Hormuth

Magn Reson Med· May 2024

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Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom.
Chengyue Wu, David A Hormuth, Ty Easley, Federico Pineda, Gregory S Karczmar

J Med Imaging (Bellingham)· March 2024

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Designing clinical trials for patients who are not average.
Thomas E Yankeelov, David A Hormuth, Ernesto A B F Lima, Guillermo Lorenzo, Chengyue Wu

iScience· January 2024

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

Brain Multiphys· December 2023

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Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth.
Baoshan Liang, Jingye Tan, Luke Lozenski, David A Hormuth, Thomas E Yankeelov

IEEE Trans Med Imaging· October 2023

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Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas.
Anirban Chaudhuri, Graham Pash, David A Hormuth, Guillermo Lorenzo, Michael Kapteyn

Front Artif Intell· October 2023

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Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation.
Jianchen Yang, Jack Virostko, Junyan Liu, Angela M Jarrett, David A Hormuth

Sci Rep· June 2023

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Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma.
Kalina P Slavkova, Sahil H Patel, Zachary Cacini, Anum S Kazerouni, Andrea L Gardner, David A Hormuth

Sci Rep· May 2023

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Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials.
Emel Alkim, Heidi Dowst, Julie DiCarlo, Lacey E Dobrolecki, Anadulce Hernández-Herrera, David A Hormuth

Tomography· April 2023

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An Online Repository for Pre-Clinical Imaging Protocols (PIPs).
Seth T Gammon, Allison S Cohen, Adrienne L Lehnert, Daniel C Sullivan, Dariya Malyarenko, David A Hormuth

Tomography· March 2023

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Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma.
Kalina P Slavkova, Sahil H Patel, Zachary Cacini, Anum S Kazerouni, Andrea L Gardner, David A Hormuth

Sci Rep· February 2023

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

GigaByte· February 2023

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Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy.
David A Hormuth, Maguy Farhat, Chase Christenson, Brandon Curl, C Chad Quarles

Adv Drug Deliv Rev· August 2022

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