dc.contributor.advisor | Ford Versypt, Ashlee | |
dc.contributor.author | Ruggiero, Steven MacRae | |
dc.date.accessioned | 2021-05-25T20:56:12Z | |
dc.date.available | 2021-05-25T20:56:12Z | |
dc.date.issued | 2020-12 | |
dc.identifier.uri | https://hdl.handle.net/11244/329997 | |
dc.description.abstract | Disease 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.format | application/pdf | |
dc.language | en_US | |
dc.rights | Copyright 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.title | Development of tools to accelerate and advance modeling disease progression | |
dc.contributor.committeeMember | Shah, Jindal | |
dc.contributor.committeeMember | Fahlenkamp, Heather | |
dc.contributor.committeeMember | Fennell, Christopher | |
osu.filename | Ruggiero_okstate_0664D_17010.pdf | |
osu.accesstype | Open Access | |
dc.type.genre | Dissertation | |
dc.type.material | Text | |
dc.subject.keywords | computational | |
dc.subject.keywords | modeling | |
dc.subject.keywords | multiscale | |
thesis.degree.discipline | Chemical Engineering | |
thesis.degree.grantor | Oklahoma State University | |