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Optimal therapy protocols in the mathematical model of acute leukemia with several phase constraints
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/oca.843openalex-snapshot
Optimal control problems with delays in state and control variables subject to mixed control–state constraints
inferredcites →https://doi.org/10.1007/bf01273744openalex-snapshot
A mathematical model of neutrophil production and control in normal man
inferredcites →https://doi.org/10.1007/bf02462912openalex-snapshot
Optimal control analysis in the chemotherapy of IgG multiple myeloma
inferredcites →https://doi.org/10.1016/0025-5564(85)90079-3openalex-snapshot
Gompertzian growth as a consequence of tumor heterogeneity
inferredcites →https://doi.org/10.1016/0377-2217(88)90044-6openalex-snapshot
Optimal control theory with economic applications
inferredcites →https://doi.org/10.1016/j.bulm.2003.11.002openalex-snapshot
A history of the study of solid tumour growth: the contribution of mathematical modelling
inferredcites →https://doi.org/10.1016/j.nonrwa.2011.02.027openalex-snapshot
On strategies on a mathematical model for leukemia therapy
inferredcites →https://doi.org/10.1016/j.urolonc.2007.03.015openalex-snapshot
Nanoparticles for drug delivery in cancer treatment
inferredcites →https://doi.org/10.1016/s0006-3495(76)85740-2openalex-snapshot
A mathematical model of the acute myeloblastic leukemic state in man
inferredcites →https://doi.org/10.1016/s0006-3495(76)85772-4openalex-snapshot
A mathematical model of the chemotherapeutic treatment of acute myeloblastic leukemia
inferredcites →https://doi.org/10.1016/s0025-5564(03)00094-4openalex-snapshot
Combining Gompertzian growth and cell population dynamics
inferredcites →https://doi.org/10.1016/s0025-5564(96)00086-7openalex-snapshot
Acute leukemia and chemotherapy: A modeling viewpoint
inferredcites →https://doi.org/10.1016/s1535-6108(03)00276-9openalex-snapshot
Advancing the field of drug delivery
inferredcites →https://doi.org/10.1137/0146042openalex-snapshot
A Cell Kinetics Justification for Gompertz’ Equation
inferredcites →https://doi.org/10.1142/9789812779489_0007openalex-snapshot
MATHEMATICAL MODELS OF CANCER AND THEIR RELEVANT INSIGHTS
inferredcites →https://doi.org/10.1515/rjnamm.2011.035openalex-snapshot
An optimal strategy for leukemia therapy: a multi-objective approach
inferredcites →https://doi.org/10.2307/2003660openalex-snapshot
International Series of Numerical Mathematics
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.5252836openalex-extracted
A Novel Reinforcement Learning Algorithm with Target Interval Segmentation for Optimizing Control in Continuous Action Spaces
inferred← citeshttps://doi.org/10.1002/oca.2372openalex-snapshot
Controller design for personalized drug administration in cancer therapy: Successive approximation approach
inferred← citeshttps://doi.org/10.1007/s10729-021-09585-xopenalex-snapshot
Bibliometric analysis of cancer care operations management: current status, developments, and future directions
inferred← citeshttps://doi.org/10.1007/s13042-021-01287-8openalex-snapshot
Cancer cells population control in a delayed-model of a leukemic patient using the combination of the eligibility traces algorithm and neural networks
inferred← citeshttps://doi.org/10.1007/s40324-022-00296-zopenalex-snapshot
Mathematical models of leukaemia and its treatment: a review
inferred← citeshttps://doi.org/10.1109/access.2023.3254210openalex-snapshot
Optimization of Chemotherapy Using Hybrid Optimal Control and Swarm Intelligence
inferred← citeshttps://doi.org/10.1111/exsy.12655openalex-snapshot
An intelligent control strategy for cancer cells reduction in patients with chronic myelogenous leukaemia using the reinforcement learning and considering side effects of the drug
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