Guillermo Lorenzo
Guillermo Lorenzo
Health Research Institute of Santiago de Compostela & Oden Institute, UT Austin
Verified email at - Homepage
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Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion
A Viguerie, G Lorenzo, F Auricchio, D Baroli, TJR Hughes, A Patton, ...
Applied mathematics letters 111, 106617, 2021
Tissue-scale, personalized modeling and simulation of prostate cancer growth
G Lorenzo, MA Scott, K Tew, TJR Hughes, YJ Zhang, L Liu, G Vilanova, ...
Proceedings of the National Academy of Sciences 113 (48), E7663-E7671, 2016
Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth
G Lorenzo, TJR Hughes, P Dominguez-Frojan, A Reali, H Gomez
Proceedings of the National Academy of Sciences 116 (4), 1152-1161, 2019
Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study
A Viguerie, A Veneziani, G Lorenzo, D Baroli, N Aretz-Nellesen, A Patton, ...
Computational Mechanics 66, 1131-1152, 2020
Hierarchically refined and coarsened splines for moving interface problems, with particular application to phase-field models of prostate tumor growth
G Lorenzo, MA Scott, K Tew, TJR Hughes, H Gomez
Computer Methods in Applied Mechanics and Engineering 319, 515-548, 2017
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
C Wu, G Lorenzo, DA Hormuth, EABF Lima, KP Slavkova, JC DiCarlo, ...
Biophysics reviews 3 (2), 2022
Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth
P Colli, H Gomez, G Lorenzo, G Marinoschi, A Reali, E Rocca
Mathematical Models and Methods in Applied Sciences 31 (07), 1419-1468, 2021
Biologically-based mathematical modeling of tumor vasculature and angiogenesis via time-resolved imaging data
DA Hormuth, CM Phillips, C Wu, EABF Lima, G Lorenzo, PK Jha, ...
Cancers 13 (12), 3008, 2021
Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects
P Colli, H Gomez, G Lorenzo, G Marinoschi, A Reali, E Rocca
Mathematical Models and Methods in Applied Sciences 30 (07), 1253-1295, 2020
Patient-specific characterization of breast cancer hemodynamics using image-guided computational fluid dynamics
C Wu, DA Hormuth, TA Oliver, F Pineda, G Lorenzo, GS Karczmar, ...
IEEE transactions on medical imaging 39 (9), 2760-2771, 2020
Quantitative in vivo imaging to enable tumour forecasting and treatment optimization
G Lorenzo, DA Hormuth II, AM Jarrett, EABF Lima, S Subramanian, ...
Cancer, complexity, computation, 55-97, 2022
Integrating quantitative assays with biologically based mathematical modeling for predictive oncology
AS Kazerouni, M Gadde, A Gardner, DA Hormuth, AM Jarrett, KE Johnson, ...
Iscience 23 (12), 2020
Math, magnets, and medicine: Enabling personalized oncology
DA Hormuth, AM Jarrett, G Lorenzo, EABF Lima, C Wu, C Chung, D Patt, ...
Expert review of precision medicine and drug development 6 (2), 79-81, 2021
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 …
G Lorenzo, TJR Hughes, A Reali, H Gomez
Computer Methods in Applied Mechanics and Engineering 362, 112843, 2020
Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-guided fluid dynamics
C Wu, DA Hormuth, G Lorenzo, AM Jarrett, F Pineda, FM Howard, ...
IEEE Transactions on Biomedical Engineering 69 (11), 3334-3344, 2022
Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome
G Lorenzo, VM Pérez-García, A Mariño, LA Pérez-Romasanta, A Reali, ...
Journal of the Royal Society Interface 16 (157), 20190195, 2019
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
A Chaudhuri, G Pash, DA Hormuth, G Lorenzo, M Kapteyn, C Wu, ...
Frontiers in Artificial Intelligence 6, 1222612, 2023
Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
G Lorenzo, SR Ahmed, DA Hormuth II, B Vaughn, J Kalpathy-Cramer, ...
Annual Review of Biomedical Engineering 26, 2023
Data-driven simulation of Fisher–Kolmogorov tumor growth models using dynamic mode decomposition
A Viguerie, M Grave, GF Barros, G Lorenzo, A Reali, ALGA Coutinho
Journal of Biomechanical Engineering 144 (12), 121001, 2022
Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin
EY Yang, GR Howard, A Brock, TE Yankeelov, G Lorenzo
Frontiers in Molecular Biosciences 9, 972146, 2022
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