Preface

Computational and Mathematical Methods in Medicine

Volumn 7, Issue 2-3, 2006, Pages 67-70

  Bellomo, Nicola ^a   Sleeman, Brian D ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

CANCER; CANCER CHEMOTHERAPY; CANCER GROWTH; CANCER RADIOTHERAPY; DATA ANALYSIS; DISEASE SIMULATION; EDITORIAL; IMMUNE RESPONSE; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MATHEMATICS; MEDICAL RESEARCH; NEOVASCULARIZATION (PATHOLOGY); NONLINEAR SYSTEM; PHYSICAL CHEMISTRY; PROBLEM SOLVING; PROCESS OPTIMIZATION;

EID: 33750097798     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1080/10273660600968895     Document Type: Editorial

References (23)

1. Alarcón, T. and Byrne, H.M. and Maini, P.K. (2004) A mathematical model of the effects of hypoxia on the cell-cycle of normal cancer cells Journal of Theoretical Biology, 229, pp. 395-411.
2. Alarcón, T. and Owen, M.R. and Byrne, H.M. and Maini, P.K. (2006) Multiscale modelling of tumour growth and therapy: The influence of vessel vascularization in chemotherapy Computational and Mathematical Models in Medicine.
3. Bellomo, N. and Forni, G. (2006) Looking for new paradigms towards a biological-mathematical theory of complex multicellular systems Mathematical Models and Methods in Applied Sciences, 16, pp. 1001-1029.
4. Bellomo, N. and Maini, P.K. (2005) Preface Mathematical Models and Methods in Applied Sciences, 15, pp. iii-viii.
5. Bellomo, N. and Maini, P.K. (2006) Preface Mathematical Models and Methods in Applied Sciences, 16, pp. iii-iix.
6. Brazzoli, I. and Chauviere, A. (2006) On the discrete kinetic theory for active particles modelling the immune competition Computational and Mathematical Models in Medicine
7. Bru, A. and Pastor, J.M. and Fernaud, I. and Bru, I. and Melle, S. and Berenguer, C. (1998) Super-rough dynamics on tumor growth Physical Review Letters, 81, pp. 4008-4011.
8. Capasso, V. and Micheletti, A.(2006) Stochastic geometry and related statistical problems in biomedicine. In Complex Systems in Biomedicine. (pp. 35-70). Milan: Springer.
9. Chaplain, M.A.J. and Lolas, G. (2005) Spatio-temporal heterogeneity arising in a mathematical model of cancer invasion of tissue Mathematical Models and Methods in Applied Sciences, 15, pp. 1685-1734.
10. dePillis, L.G. and Mallet, D.G. and Radunkskaya, A.E. (2006) Spatial tumor-immune modlling Computational and Mathematical Models in Medicine.
11. Dawson, A. and Hillen, T. (2006) Derivation of the tumour control probability (TCP) from radiation treatment from a cell cycle Computational and Mathematical Models in Medicine.
12. Gatenby, R.A. and Maini, P.K. (2003) Mathematical oncology: Cancer summed up Nature, 421, pp. 321-323.
13. Gatenby, R.A. and Vincent, T.L. and Gillies, R.J. (2005) Evolutionary dynamics in carcinogenesis Mathematical Models and Methods in Applied Sciences, 15, pp. 1619-1638.
14. Gillet, É. (2005) À chaque cancer son scénario aléatoire La Récherche, 390, pp. 73.
15. Greller, L. and Tobin, F. and Poste, G. (1996) Tumor heterogeneity and progression: Conceptual foundation for modeling Invasion and Metastasis, 16, pp. 177-208.
16. Hartwell, H.L. and Hopfield, J.J. and Leibner, S. and Murray, A.W. (1999) From molecular to modullar cell biology Nature, 402, pp. c47-c52.
17. Kheiffetz, Y. and Elishmeren, M. and Horowitz, S. and Agur, Z. (2006) Fluid-retention side-effect on the chemotherapy treatment interleukin-11: Mathematical modelling as affected by data availability Computational and Mathematical Models in Medicine.
18. Levine, H.A. and Sleeman, B.D. and Nilsen-Hamilton, M. (2001) Mathematical modelling of capillary formation initiating angiogenesis Journal of Mathematical Biology, 42, pp. 195-238.
19. Marciniak-Czochra, A. and Kimmel, M. (2006) Dynamics of growth and signalling along linear and surface structures in very early tumors Computational and Mathematical Models in Medicine.
20. May, R.M. (2004) Uses and abuses of mathematics in biology Science, 303, pp. 790-793.
21. Pitt-Francis, J. and Chem, D. and Slaymaker, M. and Simpson, A. and Brady, M. and van Leeuwen, I. and Reddington, F. and Quirke, P. and Brown, G. and Gavaghan, D. (2006) Multimodal imaging techniques for the extraction of detailed geometrical and physiological information for use in multiscale models of colorectal cancer and treatment of individual patients Computational and Mathematical Models in Medicine.
22. Preziosi, L. (2003) Modeling Cancer Growth. London, Boca Raton: CRC-Press.
23. Reed, R. (2004) Why is mathematical biology so hard? Notices of the American mathematical Society, 51, pp. 338-342.