Page 86 - Read Online
P. 86

Page 24 of 24                        Tokuyasu et al. J Cancer Metastasis Treat 2018;4:2  I  http://dx.doi.org/10.20517/2394-4722.2017.52


                   Drugs 2017;35:359-74.
               234. Dolgin E. The mathematician versus the malignancy. Nat Med 2014;20:460-3.
               235. Michor F, Beal K. Improving cancer treatment via mathematical modeling: surmounting the challenges is worth the effort. Cell
                   2015;163:1059-63.
               236. dePillis LG, Eladdadi A, Radunskaya AE. Modeling cancer-immune responses to therapy. J Pharmacokinet Pharmacodyn
                   2014;41:461-78.
               237. Konstorum A, Vella AT, Adler AJ, Laubenbacher RC. Addressing current challenges in cancer immunotherapy with mathematical and
                   computational modelling. J R Soc Interface 2017;14:20170150.
               238. Radunskaya A, Hook S. Modeling the kinetics of the immune response. In: d’Onofrio A, Cerrai P, Gandolfi A, editors. New challenges
                   for cancer systems biomedicine. Milano: Springer Milan; 2012. p. 267-82.
               239. Perelson AS, Weisbuch G. Immunology for physicists. Rev Mod Phys 1997;69:1219-68.
               240. Stark J, Chan C, George AJT. Oscillations in the immune system. Immunol Rev 2007;216:213-31.
               241. Transtrum MK, Qiu P. Bridging mechanistic and phenomenological models of complex biological systems. PLoS Comput Biol
                   2016;12: e1004915.
               242. Wenbo L, Wang J. Uncovering the underlying mechanism of cancer tumorigenesis and development under an immune
                   microenvironment from global quantification of the landscape. J R Soc Interface 2017;14:20170105.
               243. d’Onofrio A, Gandolfi A, editors. Mathematical Oncology 2013. New York, NY: Springer New York; 2014.
               244. Molina-París C, Lythe G, editors. Mathematical models and immune cell biology. New York, NY: Springer New York; 2011.
               245. Bassaganya-Riera J, editor. Computational immunology. Cambridge, MA: Academic Press; 2016.
               246. Kroer C, Sandholm T. Sequential planning for steering immune system adaptation. New York, USA: AAAI Press/International Joint
                   Conferences on Artificial Intelligence; 2016.
               247. Sandholm T. Steering evolution strategically: computational game theory and opponent exploitation for treatment planning, drug
                   design, and synthetic biology. 2015. Available from: https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/10047. [Last
                   accessed on 15 Dec 2017]
               248. Zhao Y, Zeng D, Socinski MA, Kosorok MR. Reinforcement learning strategies for clinical trials in nonsmall cell lung cancer.
                   Biometrics 2011;67:1422-33.
               249. Wallace MP, Moodie EEM, Stephens DA. SMART thinking: a review of recent developments in sequential multiple assignment
                   randomized trials. Curr Epidemiol Rep 2016;3:225-32.
               250. Littman DR. releasing the brakes on cancer immunotherapy. Cell 2015;162:1186-90.
   81   82   83   84   85   86   87   88   89   90   91