Publications by the researcher in collaboration with Héctor Gómez Díaz (13)

2024

  1. A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model

    Cancer Research Communications, Vol. 4, Núm. 3, pp. 617-633

  2. A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model

    CANCER RESEARCH COMMUNICATIONS, Vol. 4, Núm. 3, pp. 617-633

  3. 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

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

    iScience, Vol. 25, Núm. 11

2021

  1. Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth

    Mathematical Models and Methods in Applied Sciences, Vol. 31, Núm. 7, pp. 1419-1468

2020

  1. 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

    Computer Methods in Applied Mechanics and Engineering, Vol. 362

  2. Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects

    Mathematical Models and Methods in Applied Sciences, Vol. 30, Núm. 7, pp. 1253-1295

2019

  1. Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth

    Proceedings of the National Academy of Sciences of the United States of America, Vol. 116, Núm. 4, pp. 1152-1161

  2. Erratum: Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth (Proceedings of the National Academy of Sciences of the United States of America (2019) 116 (1152–1161) DOI: 10.1073/pnas.1815735116)

    Proceedings of the National Academy of Sciences of the United States of America

  3. Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome

    Journal of the Royal Society, Interface, Vol. 16, Núm. 157, pp. 20190195

2017

  1. Hierarchically refined and coarsened splines for moving interface problems, with particular application to phase-field models of prostate tumor growth

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

  2. Las ecuaciones del cáncer

    Investigación y ciencia, Núm. 487, pp. 54-64

2016

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

    Proceedings of the National Academy of Sciences of the United States of America, Vol. 113, Núm. 48, pp. E7663-E7671