Publicaciones en colaboración con investigadores/as de University of Pavia (31)

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. 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

  4. A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin

    Cancer Biology and Therapy, Vol. 25, Núm. 1

  5. Designing clinical trials for patients who are not average

    iScience, Vol. 27, Núm. 1

  6. 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

  7. MATHEMATICAL ANALYSIS OF A MODEL-CONSTRAINED INVERSE PROBLEM FOR THE RECONSTRUCTION OF EARLY STATES OF PROSTATE CANCER GROWTH

    SIAM Journal on Applied Mathematics, Vol. 84, Núm. 5, pp. 2000-2027

  8. 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

  9. Uncertainty Quantification in the Aeroelastic Response of a Twin-Box Deck Depending on the Inlet Conditions by CFD Studies

    Lecture Notes in Civil Engineering

2021

  1. Biologically-based mathematical modeling of tumor vasculature and angiogenesis via time-resolved imaging data

    Cancers, Vol. 13, Núm. 12

  2. Math, magnets, and medicine: enabling personalized oncology

    Expert Review of Precision Medicine and Drug Development

  3. 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