The dynamics of an optimally controlled tumor model: A case study
By Lisette G. de Pillis, Ami Radunskaya. 2003
411 citations recorded by the source corpus.
Subfields: Modeling and Simulation, Molecular Biology, Public Health, Environmental and Occupational Health
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Citations in the corpus
- Reinforcement Learning in Healthcare: A Survey (2019, neutral): “proposed by de Pillis and Radunskaya [105].”
- Mixed immunotherapy and chemotherapy of tumors: modeling, applications and biological interpretations. (2006, positive): “…form of equations The model describes the kinetics of four populations (tumor cells and three types of immune cells), as well as two drug concentrations in the bloodstream, using a series of coupled ordinary differential equations based on the model developed by de Pillis and Radunskaya (2003b).”
- Interactions Between the Immune System and Cancer: A Brief Review of Non-spatial Mathematical Models (2011, background): “…Cells Through Competition for Resources Rather than focusing on other types of immune cells, some three-equation models describe a single immune cell population together with normal-tissue cells and their competition with cancer cells (Owen and Sherratt 1998; de Pillis and Radunskaya 2001, 2003a).”
- Systematic and effective design of nonlinear feedback controllers via the state-dependent Riccati equation (SDRE) method (2010, methodology): “Let us, therefore, apply the SDRE method to the above nonlinear cancer dynamics (see also Itik et al., in press, where SDRE control has been applied to an earlier version of the model developed in de Pillis & Radunskaya, 2003).”