Grupo de Métodos Numéricos en Enxeñaría
GMNI
University of Texas MD Anderson Cancer Center
Houston, Estados UnidosPublicacións en colaboración con investigadores/as de 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