Recent Publications:

1. O. Vainas, S. Ariad, W. Mermershtain, V. Vainstein, N. Bloch, A. Ashkenazi, M. Kleiman, R. Ben-Av, A. Mukherjee, S. Chan and Z. Agur. Clinical Validation of a Physiologically-Based In Silico Model for Predicting and Improving Docetaxel Safety in Metastatic Breast Cancer Patients (to be submitted).

2. Z. Agur, OU. Kirnasovsky, L. Tencer, G. Wasserman, H. Harrison, R. Lamb and RB. Clarke. Use of Dickkopf1 protein for diverting proliferating breast cancer stem cells to differentiation, as predicted mathematically and validated in vitro (Submitted).

3. Y. Kogan, U. Forys, O. Shukrun, N. Kronik and Z. Agur. Cellular immunotherapy for high grade gliomas: mathematical analysis deriving efficacious infusion rates on patient requirement. SIAM Jour. Applied Mathemaics (In Press).

4. Z. Agur, Y Kogan, L. Levi, H Harrison, R Lamb, O. U. Kirnasovsky, R. Clarke. Disruption of a quorum sensing mechanism may trigger somatic evolution of cancer: a simple discrete model and its preliminary in vitro verification in mammary cancer stem cells. Biology Direct (In Press).

5. M. Kleiman, Y. Sagi, N. Bloch and Z. Agur. Use of virtual patient populations for rescuing discontinued drug candidates, and for reducing the number of patients in clinical trials. ATLA 37, 2009 pp. 39–45

6. Gorelik B., Ziv I., Shohat R., Wick M., Webb C., Hankins D., Sidransky D., Agur Z. Efficacy of once weekly docetaxel combined with bevacizumab for patients with intense angiogenesis: validation of a new theranostic method in mesenchymal chondrosarcoma xenografs. Cancer Research, 68: (21) November, 1 2008, PP. 9033-40.

7. Kirnasovsky O.U., Kogan Y, Agur Z. Analysis of a mathematical model for the molecular mechanism of mammary stem cell fate decision. Mathematical Modelling of Natural Phenomena Vol 3 (7) 2008 pp. 78 - 89.

8. Kirnasovsky O.U., Kogan Y, Agur Z. Resilience in developing tissues: development of the Agur – Daniel – Ginossar model. Disc. Cont. Dyn. Sys. Volume 10 , 2008, Pages: 129 -- 148.

9. Natalie Kronik, Yuri Kogan, Vladimir Vainstein, Zvia Agur. Improving alloreactive ctl immunotherapy for malignant gliomas using a simulation model of their interactive dynamics. Cancer Immunol Immunother. Mar;57(3):425-439 (2008). Epub 2007 Sep 7.

10. Yuri Kogan, Benjamin Ribba, Nitsan Dahan, Karen Marron, Vladimir Vainstein, Zvia Agur. Intensified doxorubicin-based regimen efficacy in residual non-hodgkin's lymphoma disease: towards a computationally supported treatment improvement Math. Model. Nat. Phenom. Mathematical Modelling of Natural Phenomena 2(3): 47-68 (2007)

11. Cappuccio A, Elishmereni M, and Agur Z. Optimization of Interleukin-21 Immunotherapeutic Strategies. J Theor Biol. 2007 Sep 21; 248(2):259-66. Epub 2007 May 18.

12. Vainstein V., Ginosar Y., Shoham M., Ranmar D., Ianovski A., Agur Z. Improving cancer therapy by doxoburicin and granulocyte colony-stimulating factors: insights from a mathematical model of human granulopoiesis. Math. Model. Nat. Phenom., Vol. 1 Num. 2, 2006, pp. 70-80.

13. Kheiffetz Y, Elishmereni M, Horowitz S and Agur Z. Fluid retention side-effects of the chemotherapy-supportive treatment interleukin11: Mathematical modelling as affected by data availability. GTHM Computational and Mathematical Methods in Medicine, 7 (2,3) 2006 pp. 71-84.

14. Cappucio A, Elishmereni M, Agur Z. Cancer immunotherapy by interleukin-21: potential treatment strategies evaluated in a mathematical model. Cancer Research, 66 (14), 2006 ( 7293 - 300).

15. Agur Z., Biomathematics in the development of personalized medicine in oncology. Future Oncol., 2 (1) 2006 (pp. 39-42).

16. Agur Z., Hassin R., Levy S. Optimizing chemotherapy scheduling using local search heuristics, Operations Research.; 54 (5), 2006 (pp.829-846).

17. Y. Kheifetz, Y. Kogan & Z. Agur. Long-range predictability in models of cell populations subjected to phase-specific drugs: Growth-rate approximation using properties of positive compact operators. Mathematical Models & Methods in the Applied Sciences. 16 (7), 2006, (pp. 1-18).

18. E.V.Presnov & Z Agur. The role of time-delays, slow processes and chaos in modulating the cell cycle clock . Mathematical Biosc & Engin, 2(3), 2005 (pp.625-642).

19. Vainstein V., Ginosar Y., Shoham M., Ranmar D., Ianovski A., Agur Z. The complex effect of granulocyte on human granulopoiesis analyzed by a new physiologically-based mathematical model. Jour Theor Biol. 234(3), 2005 (pp.311-27).

20. Ribba B., Marron K., Alarcon T., Maini P, Agur Z. A mathematical model of doxorubicin treatment efficacy for non-Hodgkin’s lymphoma: Investigation of the current protocol through theoretical modelling results Bull. Math. Biol., 67, 2005 (pp. 79-99).

21. Arakelyan L, Merbl Y., Agur Z. Vessel maturation effects on tumour growth: validation of a computer model in implanted human ovarian carcinoma spheroids Eur. Jour. Cancer, 41, 2005 (pp.159-167).

22. Kheifetz Y., Kogan Y., Agur Z. Matrix and compact operator description of resonance and antiresonance in cell populations subjected to phase specific drugs. Jour. Medical Informatics & Technologies Vol. 8, MM-11 – MM-29, 2004.

23. Agur Z., Arakelyan L., Daugulis P., Ginosar Y. Hopf point analysis for angiogenesis models. Discrete and Continuous Dynamical Systems – Series B, 4 (1), 2004 (pp. 29-38).

24. Skomorovski K., Harpak H., Ianovski A., Vardi M., Visser TP., Hartong S., Van Vliet H., Wagemaker G., Agur Z. New TPO treatment schedules of increased safety and efficacy: pre clinical validation of a thrombopoiesis simulation model. Br. Jour. Haematol, 123 (4), 2003 (pp. 683-691).

25. Arakelyan L, Vainstain V., Agur Z. A computer algorithm describing angiogenesis and vessel maturation and its use for studying the effects of anti-angiogenic and anti-maturation therapy on vascular tumor growth, Angiogenesis, 5 (3), 2002 (pp. 203-14).

26. Agur Z., Daniel Y., Ginosar Y. The universal properties of stem cells as pinpointed by a simple discrete model. Jour. Math. Biol., 44 (1), 2002 (pp.79-86).

27. Stone L., Shulgin B., Agur Z. Theoretical examination of the pulse vaccination policy in the sir epidemic model. Jour. Math. Comp. Modelling, 31, 2000 (pp. 207- 215).

28. Shochat E., Hart D., Agur, Z. Using computer simulations for evaluating the efficacy of breast cancer chemotherapy protocols Jour. Math. Models & Methods in Applied Sciences Vol. 9 (4) 1999 (pp. 599-615).