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Wiley Interdisciplinary Reviews. Systems Biology and Medicine|March 8, 2014
Personalizing oncology treatments by predicting drug efficacy, side-effects, and improved therapy: mathematics, statistics, and their integrationZvia Agur, Moran Elishmereni, Yuri Kheifetz
Cancer Research|July 20, 2006
Cancer immunotherapy by interleukin-21: potential treatment strategies evaluated in a mathematical modelAntonio Cappuccio, Moran Elishmereni, Zvia Agur
Journal of Theoretical Biology|June 19, 2007
Optimization of interleukin-21 immunotherapeutic strategiesAntonio Cappuccio, Moran Elishmereni, Zvia Agur
Journal of Pharmacokinetics and Pharmacodynamics|September 19, 2014
Complex pattern of interleukin-11-induced inflammation revealed by mathematically modeling the dynamics of C-reactive proteinYuri Kheifetz, Moran Elishmereni, Zvia Agur
The International Journal of Biochemistry & Cell Biology|September 14, 2010
CD48: A co-stimulatory receptor of immunityMoran Elishmereni, Francesca Levi-Schaffer
Plos One|February 15, 2022
Mathematical model of hormone sensitive prostate cancer treatment using leuprolide: A small step towards personalizationUrszula Foryś, Alon Nahshony, Moran Elishmereni
Current Opinion in Investigational Drugs (London, England : 2000)|May 10, 2008
DNAM-1: an amplifier of immune responses as a therapeutic target in various disordersMoran Elishmereni, Ido Bachelet, Francesca Levi-Schaffer
Clinical Pharmacology and Therapeutics|June 15, 2020
Accelerating the Development of Personalized Cancer Immunotherapy by Integrating Molecular Patients' Profiles with Dynamic Mathematical ModelsZvia Agur, Moran Elishmereni, Urszula Foryś, et al.
Plos Computational Biology|October 25, 2011
An integrated disease/pharmacokinetic/pharmacodynamic model suggests improved interleukin-21 regimens validated prospectively for mouse solid cancersMoran Elishmereni, Yuri Kheifetz, Henrik Søndergaard, et al.
Cancer Research|March 17, 2012
Reconsidering the paradigm of cancer immunotherapy by computationally aided real-time personalizationYuri Kogan, Karin Halevi-Tobias, Moran Elishmereni, et al.
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