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Computational Mechanics|August 25, 2020
Diffusion-reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical studyAlex Viguerie, Alessandro Veneziani, Guillermo Lorenzo, et al.
Iscience|November 17, 2022
Patient-specific forecasting of postradiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapseGuillermo Lorenzo, Nadia di Muzio, Chiara Lucrezia Deantoni, et al.
Arxiv|March 10, 2025
Validating the predictions of mathematical models describing tumor growth and treatment responseGuillermo Lorenzo, David A Hormuth, Chengyue Wu, et al.
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.
Biorxiv : the Preprint Server for Biology|February 6, 2026
75 Years of Mathematical OncologyFranco Pradelli, Maximilian Strobl, Sadegh Marzban, 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.
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.
Npj Imaging|April 14, 2025
A critical assessment of artificial intelligence in magnetic resonance imaging of cancerChengyue Wu, Meryem Abbad Andaloussi, David A Hormuth, et al.
NPJ Systems Biology and Applications|June 10, 2026
Integrating imaging and mathematical modeling to predict and optimize patient outcomes in oncologyReshmi J S Patel, Ayesha Das, Aliya Anil, et al.
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