Grupo de Métodos Numéricos en Ingeniería
GMNI
University of Texas MD Anderson Cancer Center
Houston, Estados UnidosPublications in collaboration with researchers from University of Texas MD Anderson Cancer Center (10)
2024
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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
Engineering with Computers, Vol. 40, Núm. 3, pp. 1469-1499
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A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin
Cancer Biology and Therapy, Vol. 25, Núm. 1
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Designing clinical trials for patients who are not average
iScience, Vol. 27, Núm. 1
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Dynamic parameterization of a modified SEIRD model to analyze and forecast the dynamics of COVID-19 outbreaks in the United States
Engineering with Computers, Vol. 40, Núm. 2, pp. 813-837
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Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data
Annual review of biomedical engineering, Vol. 26, Núm. 1, pp. 529-560
2022
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Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin
Frontiers in Molecular Biosciences, Vol. 9
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Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics
IEEE Transactions on Biomedical Engineering, Vol. 69, Núm. 11, pp. 3334-3344
2021
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Biologically-based mathematical modeling of tumor vasculature and angiogenesis via time-resolved imaging data
Cancers, Vol. 13, Núm. 12
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Math, magnets, and medicine: enabling personalized oncology
Expert Review of Precision Medicine and Drug Development
2020
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Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology
iScience, Vol. 23, Núm. 12