Page 43 - Read Online

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.