[1. A. R. A. Anderson and P. K. Maini, Special issue: Mathematical oncology, Bull. Math. Biol., vol. 280, pp. 945{953, 2018.10.1007/s11538-018-0423-5]Search in Google Scholar
[2. P. M. Altrock, L. L. Liu, and F. Michor, The mathematics of cancer: integrating quantitative models, Nat. Rev. Cancer, vol. 15, pp. 730{745, 2015.10.1038/nrc4029]Search in Google Scholar
[3. M. P. Little, Cancer models, genomic instability and somatic cellular darwinian evolution, Biology Direct, vol. 5, pp. 1{19, 2010.10.1186/1745-6150-5-19]Search in Google Scholar
[4. A. Konstorum, A. T. Vella, A. J. Adler, and R. C. Laubenbacher, Addressing current challenges in cancer immunotherapy with mathematical and computational modelling, J. R. Soc. Interface, vol. 14,p. 20170150, 2017.10.1098/rsif.2017.0150]Search in Google Scholar
[5. M. Lachowicz, Individually-based Markov processes modeling nonlinear systems in mathematical biology, Nonlinear Anal. Real World Appl., vol. 12, pp. 2396{2407, 2011.10.1016/j.nonrwa.2011.02.014]Search in Google Scholar
[6. J. Banasiak and M. Lachowicz, Methods of small parameter in mathematical biology. Basel: Birkhauser, 2014.10.1007/978-3-319-05140-6]Search in Google Scholar
[7. N. Bellomo, A. Bellouquid, and E. De Angelis, The modelling of immune competition by generalized kinetic (boltzmann) models: review and research perspectives, Math. Comput. Modelling, vol. 37,pp. 65{86, 2003.10.1016/S0895-7177(03)80007-9]Search in Google Scholar
[8. A. Bellouquid, E. De Angelis, and D. Knopoff, From the modeling of the immune hallmarks of cancerto a black swan in biology, Math. Models Methods Appl. Sci., vol. 23, pp. 949{978, 2013.10.1142/S0218202512500650]Search in Google Scholar
[9. E. De Angelis, On the mathematical theory of post-darwinian mutations, selection, and evolution, Math. Models Methods Appl. Sci, vol. 24, pp. 2723{2742, 2014.10.1142/S0218202514500353]Search in Google Scholar
[10. N. Bellomo, Modeling Complex Living Systems - A Kinetic Theory and Stochastic Game Approach. Basel: Birkhauser, 2008.]Search in Google Scholar
[11. N. Bellomo, A. Bellouquid, L. Gibelli, and N. Outada, A Quest Towards a Mathematical Theory of Living Systems. Basel: Birkhaauser, 2017.10.1007/978-3-319-57436-3]Search in Google Scholar
[12. N. Bellomo, P. Degond, and E. Tadmor, eds., Active Particles Volume 1 - Advances in Theory, Models, and Applications. Basel: Birkhaauser, 2017.10.1007/978-3-319-49996-3]Search in Google Scholar
[13. A. D. Wentzell, A course in the theory of stochastic processes. McGraw-Hill International, 1981.]Search in Google Scholar
[14. D. Hanahan and R. A. Weinberg, Hallmarks of cancer: The next generation, Cell, vol. 44, pp. 646{674, 2011.10.1016/j.cell.2011.02.01321376230]Search in Google Scholar
[15. A. Lasota and J. A. Yorke, Exact dynamical systems and the frobenius-perron operator, Trans. Amer. Math. Soc., vol. 273, pp. 375{384, 1982.10.1090/S0002-9947-1982-0664049-X]Search in Google Scholar
[16. R. Rudnicki, Models of population dynamics and their applications in genetics, in From genetics tomathematics (M.Lachowicz and J. Mi_ekisz, eds.), pp. 103-147, New Jersey: World Sci., 2009.10.1142/9789812837257_0004]Search in Google Scholar
[17. M. Lachowicz, A class of microscopic individual models corresponding to the macroscopic logistic growth, Math. Methods Appl. Sci., vol. 41, pp. 8446{8454, 2018.10.1002/mma.4680]Search in Google Scholar
[18. M. Lachowicz, A class of individual-based models, BIOMATH, vol. 7, p. 1804127, 2018.10.11145/j.biomath.2018.04.127]Search in Google Scholar
[19. N. Bellomo and B. Carbonaro, Toward a mathematical theory of living system focusing on developmental biology and evolution: A review and prospectives, Physics of Life Reviews, vol. 8, pp. 1{18, 2011.10.1016/j.plrev.2010.12.001]Search in Google Scholar
[20. S. De Lillo and N. Bellomo, On the modeling of collective learning dynamics, Appl. Math. Lett., vol. 24, pp. 1861{1866, 2011.10.1016/j.aml.2011.05.007]Search in Google Scholar
[21. F. Michor, Y. Iwasa, and M. A. Nowak, Dynamics of cancer progression, Nature Reviews Cancer, vol. 4, pp. 197{205, 2004.10.1038/nrc1295]Search in Google Scholar
[22. P. C. Nowell, Tumor progression: a brief historical perspective, Seminars in Cancer Biology, vol. 12, pp. 261{266, 2002.10.1016/S1044-579X(02)00012-3]Search in Google Scholar
[23. R. A. Gatenby and T. L. Vincent, Evolutionary model of carcinogenesis, Cancer Research, vol. 63, pp. 6212{1620, 2003.]Search in Google Scholar
[24. L. Arlotti, N. Bellomo, and M. Lachowicz, Kinetic equations modelling population dynamics, Trans-port Theory Statist. Phys., vol. 29, pp. 125{139, 2000.10.1080/00411450008205864]Search in Google Scholar
[25. M. Lachowicz, Links between microscopic and macroscopic descriptions, in Lecture Notes Math. 1940, Multiscale Problems in the Life Sciences. From Microscopic to Macroscopic (J. Banasiak, V. Capasso, M. A. J. Chaplain, M. Lachowicz, and J. Miekisz, eds.), pp. 201{268, Berlin: Springer, 2008.10.1007/978-3-540-78362-6_4]Search in Google Scholar