On a data-driven mathematical model for prostate cancer bone metastasis

On a data-driven mathematical model for prostate cancer bone metastasis

Prostate cancer bone metastasis poses significant health challenges, affecting countless individuals. While treatment with the radioactive isotope radium-223 ($ ^{223} $Ra) has shown promising results, there remains room for therapy optimization. In vivo studies are crucial for optimizing radium the...

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Bibliographic Details
Main Authors: Zholaman Bektemessov, Laurence Cherfils, Cyrille Allery, Julien Berger, Elisa Serafini, Eleonora Dondossola, Stefano Casarin
Format: Article
Language:English
Published: AIMS Press 2024-12-01
Series:AIMS Mathematics
Subjects:
prostate cancer
bone metastasis
tumor growth
pde model
simulation
in vivo-in silico modeling
parameter estimation
inverse problems
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20241656
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