Chapter 25. Emerging Techniques in breast MRI

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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

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In: K. Pinker, R. Mann, S. Partridge, Breast MRI: State of the Art and Future Directions, Elsevier, pp. 503-531

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

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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

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

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

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

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

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

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

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

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization

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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

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

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

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

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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

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

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Journal of Biomechanical Engineering, 2022, in press

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

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

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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

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

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

Math, magnets, and medicine: enabling personalized oncology

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

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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

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

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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

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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

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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

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

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

Integrating quantitative assays with biologically based mathematical modeling for predictive oncology

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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

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

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

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

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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

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

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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

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

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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

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

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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

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

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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

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

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

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

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

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