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dc.contributor.advisorFord Versypt, Ashlee
dc.contributor.authorRuggiero, Steven MacRae
dc.date.accessioned2021-05-25T20:56:12Z
dc.date.available2021-05-25T20:56:12Z
dc.date.issued2020-12
dc.identifier.urihttps://hdl.handle.net/11244/329997
dc.description.abstractDisease pathology emerges from complex interactions at multiple scales including the cellular level, tissue level, and organ level. Multiscale modeling seeks to capture emergent phenomena by coupling models of differing spatial and temporal scales. Multiscale modeling is a powerful tool for modeling disease progression, but this power comes at the cost of great complexity and development time. The primary objective of this thesis is to develop tools that help make multiscale models in less time. The tools developed in this work are a virtual kidney currently in development, a model converter, and a method for producing simulation geometry.
dc.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleDevelopment of tools to accelerate and advance modeling disease progression
dc.contributor.committeeMemberShah, Jindal
dc.contributor.committeeMemberFahlenkamp, Heather
dc.contributor.committeeMemberFennell, Christopher
osu.filenameRuggiero_okstate_0664D_17010.pdf
osu.accesstypeOpen Access
dc.type.genreDissertation
dc.type.materialText
dc.subject.keywordscomputational
dc.subject.keywordsmodeling
dc.subject.keywordsmultiscale
thesis.degree.disciplineChemical Engineering
thesis.degree.grantorOklahoma State University


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