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dc.contributor.advisorDayanık, Savaş
dc.contributor.authorDoğruöz, Elifnur
dc.date.accessioned2016-01-08T20:06:12Z
dc.date.available2016-01-08T20:06:12Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/11693/17074
dc.descriptionAnkara : The Department of Industrial Engineering and the Graduate School of Engineering and Science of Bilkent Univ., 2013.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2013.en_US
dc.descriptionIncludes bibliographical references leaves 69-71.en_US
dc.description.abstractA mixed effects statistical model is developed to understand the nanoparticle(NP)- cell interactions and predict the cellular uptake rate of NPs. NP-cell interactions are crucial for targeted drug delivery systems, cell-level diagnosis, and cancer treatment. The NP cellular uptake depends on the size, charge, chemical structure, concentration of NPs, and incubation time. The vast number of combinations of those variable values disallows a comprehensive experimental study of NP-cell interactions. A mathematical model can, however, generalize the findings from some limited number of carefully designed experiments and can be used for the simulation of NP uptake rates for the alternative treatment design, planning, and comparisons. We propose a mathematical model based on the data obtained from in-vitro NPhealthy cell experiments conducted by the Nanomedicine and Advanced Technologies Research Center in Turkey. The proposed model predicts the cellular uptake rate of Silica, polymethyl methacrylate, and polylactic acid NPs given the incubation time, size, charge and concentration of NPs. This study implements the mixed model methodology in nanomedicine area for the first time and is the first mathematical model that predicts NP cellular uptake rate based on sound statistical principles. Our model provides a cost effective tool for researchers developing targeted drug delivery systems.en_US
dc.description.statementofresponsibilityDoğruöz, Elifnuren_US
dc.format.extentix, 98 leaves, ill, graphsen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectNanomedicineen_US
dc.subjectsmoothing splinesen_US
dc.subjectlinear mixed model,en_US
dc.subjectnanoparticle uptake rateen_US
dc.subjecttargeted drug deliveryen_US
dc.subject.lccQT36.5 .D64 2013en_US
dc.subject.lcshNanomedicine.en_US
dc.subject.lcshNanoparticles.en_US
dc.subject.lcshDrug delivery systems.en_US
dc.titleAnalysis of the in-vitro nanoparticle-cell interactions via smoothing splines mixed effects modelen_US
dc.typeThesisen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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