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      • Bilkent Theses
      • Theses - Department of Industrial Engineering
      • Dept. of Industrial Engineering - Master's degree
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      Generalized linear models for in-vitro nanoparticle-cell interactions

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      Author
      Çuhacı, Z. Gülce
      Advisor
      Dayanık, Savaş
      Date
      2013
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      Nanomedicine techniques are quite promising in terms of treatment and detection of cancerous cells. Targeted drug delivery plays an important role in this field of cancer nanotechnology. A lot of studies have been conducted so far concerning nanoparticle (NP)-cell interaction. Most of them fail to propose a mathematical model for a quantitative prediction of cellular uptake rate with measurable accuracy. In this thesis, we investigate cell-NP interactions and propose statistical models to predict cellular uptake rate. Size, surface charge, chemical structure (type), concentration of NPs and incubation time are known to affect the cellular uptake rate. Generalized linear models are employed to explain the change in uptake rate with the consideration of those effects and their interactions. The data set was obtained from in-vitro NP-healthy cell experiments conducted by the Nanomedicine & Advanced Technologies Research Center in Turkey. Statistical models predicting cellular uptake rate are proposed for sphere-shaped Silica, polymethyl methacrylate (PMMA), and polylactic acid (PLA) NPs.
      Keywords
      Nanomedicine
      nanoparticle-cell interaction
      generalized linear models
      logistic regression
      splines
      Permalink
      http://hdl.handle.net/11693/15920
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      • Dept. of Industrial Engineering - Master's degree 326
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