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receptors--tumor-necrosis-factor
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Hybrid multiscale modeling and prediction of cancer cell behavior
, Article PLoS ONE ; Volume 12, Issue 8 , 2017 ; 19326203 (ISSN) ; Habibi, J ; Sharif University of Technology
Public Library of Science
2017
Abstract
Background: Understanding cancer development crossing several spatial-temporal scales is of great practical significance to better understand and treat cancers. It is difficult to tackle this challenge with pure biological means. Moreover, hybrid modeling techniques have been proposed that combine the advantages of the continuum and the discrete methods to model multiscale problems. Methods: In light of these problems, we have proposed a new hybrid vascular model to facilitate the multiscale modeling and simulation of cancer development with respect to the agent-based, cellular automata and machine learning methods. The purpose of this simulation is to create a dataset that can be used for...
Association of biomarkers of systemic inflammation with organic components and source tracers in quasi-ultrafine particles
, Article Environmental Health Perspectives ; Volume 118, Issue 6 , 2010 , Pages 756-762 ; 00916765 (ISSN) ; Staimer, N ; Tjoa, T ; Arhami, M ; Polidori, A ; Gillen, D. L ; Kleinman, M. T ; Schauer, J. J ; Sioutas, C ; Sharif University of Technology
2010
Abstract
Background: Evidence is needed regarding the air pollutant components and their sources responsible for associations between particle mass concentrations and human cardiovascular outcomes. We previously found associations between circulating biomarkers of inflammation and mass concentrations of quasi-ultrafine particles ≤ 0.25 μm in aerodynamic diameter (PM0.25) in a panel cohort study of 60 elderly subjects with coronary artery disease living in the Los Angeles Basin.Objectives: We reassessed biomarker associations with PM0.25 using new particle composition data.Methods: Weekly biomarkers of inflammation were plasma interleukin-6 (IL-6) and soluble tumor necrosis factor-α receptor II...