Publications


A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model


Guillermo Lorenzo, Jon S Heiselman, Michael A Liss, Michael I Miga, Hector Gomez, Thomas E Yankeelov, Alessandro Reali, Thomas JR Hughes

Cancer Research Communications, vol. 4, 2024, pp. 617--633


A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin


Hugo JM Miniere, Ernesto ABF Lima, Guillermo Lorenzo, David A Hormuth, Sophia Ty, Amy Brock, Thomas E Yankeelov

Cancer Biology & Therapy, vol. 25, 2024, p. 2321769


Designing clinical trials for patients who are not average


Thomas E Yankeelov, David A Hormuth, Ernesto ABF Lima, Guillermo Lorenzo, Chengyue Wu, Lois C Okereke, Gaiane M Rauch, Aradhana M Venkatesan, Caroline Chung

Iscience, vol. 27, 2024, p. 108589


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, Chengyue Wu, Ernesto ABF Lima, Thomas E Yankeelov, Karen Willcox

Frontiers in Artificial Intelligence, vol. 6, 2023, p. 1222612


Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States


Orhun O Davarci, Emily Y Yang, Alexander Viguerie, Thomas E Yankeelov, Guillermo Lorenzo

Engineering with Computers, 2023, pp. 1--25


A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data


Guillermo Lorenzo, Angela M Jarrett, Christian T Meyer, Julie C DiCarlo, John Virostko, Vito Quaranta, Darren R Tyson, Thomas E Yankeelov

Engineering with Computers, 2023, pp. 1--31


Chapter 25. Emerging Techniques in breast MRI


Anum S. Kazerouni, Adrienne N. Dula, Angela M. Jarrett, Guillermo Lorenzo, Jared A. Weis, James A. Bankson, Eduard Y. Chekmenev, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov

Advances in Magnetic Resonance Technology and Applications, In: K. Pinker, R. Mann, S. Partridge, Breast MRI: State of the Art and Future Directions, vol. 5, Elsevier, 2022, pp. 503-531


Integrating mechanism-based modeling with biomedical imaging to build digital twins for clinical oncology


Chengyue Wu, Guillermo Lorenzo, David A. Hormuth II, Ernesto A.B.F. Lima, Kalina P. Slavkova, Julie C. DiCarlo, John Virotsko, Caleb M. Phillips, Debra Patt, Caroline Chung, Thomas E. Yankeelov

Biophysics Review, vol. 3(2), 2022, p. 021304


Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin


Emily Y. Yang, Grant R. Howard, Amy Brock, Thomas E. Yankeelov, Guillermo Lorenzo

Frontiers in Molecular Biosciences, vol. 9, 2022, p. 972146


Patient-specific forecasting of postradiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapse


Guillermo Lorenzo, Nadia di Muzio, Chiara Lucrezia Deantoni, Cesare Cozzarini, Andrei Fodor, Alberto Briganti, Francesco Montorsi, Víctor M. Pérez-García, Hector Gomez, Alessandro Reali

iScience, vol. 25(11), 2022, p. 105430


Quantitative in vivo imaging to enable tumor forecasting and treatment optimization


Guillermo Lorenzo, David A Hormuth II, Angela M Jarrett, Ernesto ABF Lima, Shashank Subramanian, George Biros, J Tinsley Oden, Thomas JR Hughes, Thomas E Yankeelov

In: Igor Balaz, Andrew Adamatzky, Cancer, Complexity, Computation, Springer, 2022, pp. 55-97


Chapter Six - Oncology and mechanics: Landmark studies and promising clinical applications


Stéphane Urcun, Guillermo Lorenzo, Davide Baroli, Pierre-Yves Rohan, Giuseppe Sciumè, Wafa Skalli, Vincent Lubrano, Stéphane P.A. Bordas

In: S.P.A. Bordas, Advances in Applied Mechanics, vol. 55, Elsevier, 2022, pp. 513-571


Data-Driven Simulation of Fisher-Kolmogorov Tumor Growth Models Using Dynamic Mode Decomposition


Alex Viguerie, Malú Grave, Gabriel F. Barros, Guillermo Lorenzo, Alessandro Reali, Alvaro Coutinho

Journal of Biomechanical Engineering, vol. 144(12), 2022, p. 121001


Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-guided fluid dynamics


Chengyue Wu, David Hormuth, Guillermo Lorenzo, Angela Jarrett, Federico Pineda, Frederick M. Howard, Greg Karczmar, Thomas E. Yankeelov

IEEE Transactions on Biomedical Engineering, vol. 69(11), 2022, pp. 3334-3344


Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion


Alex Viguerie, Guillermo Lorenzo, Ferdinando Auricchio, Davide Baroli, Thomas J.R. Hughes, Alessia Patton, Alessandro Reali, Thomas E. Yankeelov, Alessandro Veneziani

Applied Mathematics Letters, vol. 111, 2021, p. 106617


Math, magnets, and medicine: enabling personalized oncology


David A. Hormuth, Angela M. Jarrett, Guillermo Lorenzo, Ernesto A. B. F. Lima, Chengyue Wu, Caroline Chung, Debra Patt, Thomas E. Yankeelov

Expert Review of Precision Medicine and Drug Development, vol. 6(2), 2021, pp. 79-81


Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth


Pierluigi Colli, Hector Gomez, Guillermo Lorenzo, Gabriela Marinoschi, Alessandro Reali, Elisabetta Rocca

Mathematical Models and Methods in Applied Sciences, vol. 31(7), 2021, pp. 1419-1468


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


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

Cancers, vol. 13(12), 2021 May 16


Diffusion-reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study


Alex Viguerie, Alessandro Veneziani, Guillermo Lorenzo, Davide Baroli, Nicole Aretz-Nellesen, Alessia Patton, Thomas E. Yankeelov, Alessandro Reali, Thomas J. R. Hughes, Ferdinando Auricchio

Computational Mechanics, vol. 66(5), 2020, pp. 1131–1152


Integrating quantitative assays with biologically based mathematical modeling for predictive oncology


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

iScience, vol. 23(12), 2020, p. 101807


Patient-specific characterization of breast cancer hemodynamics using image-guided computational fluid dynamics


Chengyue Wu, David A. Hormuth, Todd A. Oliver, Federico Pineda, Guillermo Lorenzo, Gregory S. Karczmar, Robert D. Moser, Thomas E. Yankeelov

IEEE Transactions on Medical Imaging, vol. 39(9), 2020, pp. 2760-2771


A numerical simulation study of the dual role of 5α-reductase inhibitors on tumor growth in prostates enlarged by benign prostatic hyperplasia via stress relaxation and apoptosis upregulation


Guillermo Lorenzo, Thomas J.R. Hughes, Alessandro Reali, Hector Gomez

Computer Methods in Applied Mechanics and Engineering, vol. 362, 2020, p. 112843


Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects


Pierluigi Colli, Hector Gomez, Guillermo Lorenzo, Gabriela Marinoschi, Alessandro Reali, Elisabetta Rocca

Mathematical Models and Methods in Applied Sciences, vol. 30(7), 2020, pp. 1253-1295


Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth


Guillermo Lorenzo, Thomas J. R. Hughes, Pablo Dominguez-Frojan, Alessandro Reali, Hector Gomez

Proceedings of the National Academy of Sciences of the United States of America, vol. 116(4), 2019, pp. 1152-1161


Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome


Guillermo Lorenzo, Víctor M. Pérez-García, Alfonso Mariño, Luis A. Pérez-Romasanta, Alessandro Reali, Hector Gomez

Journal of the Royal Society Interface, vol. 16(157), 2019, p. 20190195


Hierarchically refined and coarsened splines for moving interface problems, with particular application to phase-field models of prostate tumor growth


Guillermo Lorenzo, Michael A. Scott, Kevin Tew, Thomas J.R. Hughes, Hector Gomez

Computer Methods in Applied Mechanics and Engineering, vol. 319, 2017, pp. 515-548


Tissue-scale, personalized modeling and simulation of prostate cancer growth


Guillermo Lorenzo, Michael A. Scott, Kevin Tew, Thomas J. R. Hughes, Yongjie Jessica Zhang, Lei Liu, Guillermo Vilanova, Hector Gomez

Proceedings of the National Academy of Sciences of the United States of America, vol. 113(48), 2016, pp. E7663-E7671

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