Guillermo Lorenzo
Guillermo Lorenzo
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
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
582021
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
572016
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
462017
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
442019
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 (5), 1131-1152, 2020
272020
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
92020
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
82020
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
72019
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
52020
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
42021
Tissue-scale, patient-specific modeling and simulation of prostate cancer growth
G Lorenzo
32018
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, 1-50, 2021
22021
Integrating quantitative assays with biologically-based mathematical modeling for predictive oncology
AS Kazerouni, M Gadde, A Gardner, DA Hormuth II, AM Jarrett, ...
Iscience, 101807, 2020
22020
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
12021
Las ecuaciones del cáncer
G Lorenzo, G Vilanova, H Gómez
Investigación y ciencia, 54-64, 2017
12017
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization
G Lorenzo, DA Hormuth II, AM Jarrett, EABF Lima, S Subramanian, ...
arXiv preprint arXiv:2102.12602, 2021
2021
Abstract PS13-44: Identifying relevant parameters that characterize the early response to NAT in breast cancer patients using a novel personalized mechanistic model integrating …
G Lorenzo, AM Jarrett, CT Meyer, DR Tyson, V Quaranta, TE Yankeelov
Cancer Research 81 (4 Supplement), PS13-44-PS13-44, 2021
2021
Identifying relevant parameters that characterize the early response to NAT in breast cancer patients using a novel personalized mechanistic model integrating in vitro and in …
G Lorenzo, AM Jarrett, CT Meyer, DR Tyson, V Quaranta, TE Yankeelov
CANCER RESEARCH 81 (4), 2021
2021
Preclinical and clinical studies of mathematical modeling for individualizing therapeutic regimens in breast cancer
AM Jarrett, D Hormuth, G Lorenzo, J DiCarlo, J Virostko, A Sorace, ...
2021 Joint Mathematics Meetings (JMM), 2021
2021
An image-based mechanistic computational model for early prediction of organ-confined untreated prostate cancer growth
G Lorenzo, TJ Hughes, A Reali, H Gomez, TE Yankeelov
Cancer Research 80 (16 Supplement), 5483-5483, 2020
2020
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