Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth
Pierluigi Colli,Hector Gomez,Guillermo Lorenzo,Guillermo Lorenzo,Gabriela Marinoschi,Alessandro Reali,Elisabetta Rocca +6 more
TLDR
The results suggest that only cytotoxic chemotherapy is required to optimize therapeutic performance and it is shown that the optimal control framework can produce superior solutions to combined therapy with docetaxel and bevacizumab.Abstract:
Prostate cancer can be lethal in advanced stages, for which chemotherapy may become the only viable therapeutic option. While there is no clear clinical management strategy fitting all patients, cy...read more
Citations
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Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.
Chengyue Wu,Guillermo Lorenzo,David A. Hormuth,Ernesto A. B. F. Lima,Kalina P. Slavkova,Julie C DiCarlo,John Virostko,Caleb Phillips,Debra A. Patt,Caroline Chung,Thomas E. Yankeelov +10 more
TL;DR: This review presents the opportunities and challenges of applying digital twins in clinical oncology, with a particular focus on integrating medical imaging with mechanism-based, tissue-scale mathematical modeling.
Journal ArticleDOI
On an optimal control problem describing lactate production inhibition
Hawraa Alsayed,Hawraa Alsayed,Hussein Fakih,Hussein Fakih,Alain Miranville,Alain Miranville,Ali Wehbe +6 more
Journal ArticleDOI
Tumor Evolution Models of Phase-Field Type with Nonlocal Effects and Angiogenesis
TL;DR: In this paper , a variety of systems modeling tumor growth are discussed, including diffusive interface models and a phase-field approach, based on a multiphase approach that employs constitutive laws and balance laws for individual constituents.
Journal ArticleDOI
Data-Driven Simulation of Fisher-Kolmogorov Tumor Growth Models Using Dynamic Mode Decomposition.
Alex Viguerie,Malú Grave,Gabriel F. Barros,Guillermo Lorenzo,Alessandro Reali,Alvaro L. G. A. Coutinho +5 more
TL;DR: This work proposes to utilize Dynamic-Mode Decomposition (DMD), an unsupervised machine learning method, to construct a low-dimensional representation of cancer models and accelerate their simulation, and finds that, for moderate to high tumor cell diffusivity and low to moderate tumor cell proliferation rate, DMD reconstructions provide accurate, bounded-error reconstructions for all tested training periods.
Journal ArticleDOI
A hybrid spatiotemporal model of PCa dynamics and insights into optimal therapeutic strategies.
TL;DR: In this article , a hybrid cellular automaton with stochastic elements was used to investigate the effectiveness of multiple drug therapies on prostate cancer (PCa) growth, including enzalutamide and cabazitaxel.
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Isogeometric analysis : CAD, finite elements, NURBS, exact geometry and mesh refinement
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