Modelling and mathematical problems related to tumor evolution and its interaction with the immune system
By Nicola Bellomo, L. Preziosi. 2000
304 citations recorded by the source corpus.
Subfields: Modeling and Simulation, Molecular Biology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/bb51f6abb4ccc9f0e496199881ed1577536cf513
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In Modeling and Simulation
Citations in the corpus
- Mathematical modelling of cancer cell invasion of tissue (2005, background): “Modelling aspects of cancer growth has been approached using a wide range of mathematical models [14] [15] [16] [17] [18].”
- Mixed immunotherapy and chemotherapy of tumors: modeling, applications and biological interpretations. (2006, unknown): “There is a host of literature that addresses the development of various mathematical descriptions of cancer and the immune response, among which we mention just a few: (Bellomo et al., 2004; Bellomo and Preziosi, 2000; Chandawarkar and Guyton, 2002; Chester et al., 2000; Derbel, 2004; De Angelis and”
- Mathematical Models of Avascular Tumor Growth (2007, unknown): “There are several upscaling techniques; the most popular ones are cellular automata [31, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132], lattice Boltzmann methods [9, 133], agent-based [129, 134], extended Potts [135], and the stochastic (Markov chain combined with Fokker–Plan”
- Interactions Between the Immune System and Cancer: A Brief Review of Non-spatial Mathematical Models (2011, background): “There are many existing reviews of mathematical models of tumor growth and tumor-immune system interactions (Araujo and McElwain 2004; Bellomo and Preziosi 2000; Bellomo et al. 2008; Byrne et al. 2006; Martins et al. 2007; Nagy 2005; Roose et al. 2007; Chaplain 2008).”