The contribution of evolutionary game theory to understanding and treating cancer

B Wölfl, H Te Rietmole, M Salvioli… - Dynamic Games and …, 2022 - Springer
Evolutionary game theory mathematically conceptualizes and analyzes biological
interactions where one's fitness not only depends on one's own traits, but also on the traits of …

Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges

L Zou, Z Wang, J Hu, QL Han - Information Fusion, 2020 - Elsevier
Since the proposal of moving horizon (MH) estimation in 1960s, the MH estimation approach
has drawn ever-increasing research interests due mainly to its inherent capability of …

Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment

R Padmanabhan, N Meskin, WM Haddad - Mathematical biosciences, 2017 - Elsevier
The increasing threat of cancer to human life and the improvement in survival rate of this
disease due to effective treatment has promoted research in various related fields. This …

[HTML][HTML] Treatment of evolving cancers will require dynamic decision support

MAR Strobl, J Gallaher, M Robertson-Tessi, J West… - Annals of …, 2023 - Elsevier
Highlights•Cancer is a heterogeneous and evolving disease, yet most drugs are
administered to simply give the maximum dose.•Treatment scheduling currently ignores the …

Computational systems biology in disease modeling and control, review and perspectives

R Yue, A Dutta - npj Systems Biology and Applications, 2022 - nature.com
Omics-based approaches have become increasingly influential in identifying disease
mechanisms and drug responses. Considering that diseases and drug responses are co …

Deep reinforcement learning-based control of chemo-drug dose in cancer treatment

H Mashayekhi, M Nazari, F Jafarinejad… - Computer Methods and …, 2024 - Elsevier
Background and objective Advancement in the treatment of cancer, as a leading cause of
death worldwide, has promoted several research activities in various related fields. The …

pH-sensitive loading/releasing of doxorubicin using single-walled carbon nanotube and multi-walled carbon nanotube: a molecular dynamics study

R Maleki, HH Afrouzi, M Hosseini, D Toghraie… - Computer methods and …, 2020 - Elsevier
Background and objective Doxorubicin is one of the drugs used to treat cancer, and many
studies have been conducted to control its release. In this study, carbon nanotubes have …

Control strategies for nonzero set-point regulation of linear impulsive systems

PS Rivadeneira, A Ferramosca… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Despite its potential use in several meaningful problems linear impulsive systems have not
been extensively studied to account for dynamics in which the equilibria are out of the origin …

Derivation of an optimal trajectory and nonlinear adaptive controller design for drug delivery in cancerous tumor chemotherapy

P Khalili, R Vatankhah - Computers in biology and medicine, 2019 - Elsevier
Numerous models have investigated cancer behavior by considering different factors in
chemotherapy. The subject of a controller design approach for these models in order to find …

Personalized drug administration for cancer treatment using model reference adaptive control

N Babaei, MU Salamci - Journal of theoretical biology, 2015 - Elsevier
Abstract A new Model Reference Adaptive Control (MRAC) approach is proposed for the
nonlinear regulation problem of cancer treatment via chemotherapy. We suggest an …