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Stem Cell Regulation Using Nanofibrous Membranes with Defined Structure and Pore Size

Description: Electrospun nanofibers have been researched extensively in the culturing of stem cells to understand their behavior since electrospun fibers mimic the native extracellular matrix (ECM) in many types of mammalian tissues. Here, electrospun nanofibers with defined structure (orientation/alignment) and pore size could significantly modulate human mesenchymal stem cell (hMSC) behavior. Controlling the fiber membrane pore size was predominantly influenced by the duration of electrospinning, while th… more
This item is restricted from view until September 1, 2024.
Date: August 2022
Creator: Blake, Laurence A
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
open access

Parkinson's Disease and UPDRS-III Prediction Using Quiet Standing Data and Applied Machine Learning

Description: Parkinson's disease (PD) is a neurodegenerative disease that affects motor abilities with increasing severity as the disease progresses. Traditional methods for diagnosing PD require specialists scoring qualitative symptoms using the motor subscale of the Unified Parkinson's Disease Rating Scale (UPDRS-III). Using force-plate data during quiet standing (QS), this study uses machine learning to target the characterization and prediction of PD and UPDRS-III. The purpose of predicting different… more
Date: May 2021
Creator: Exley, Trevor Wayne
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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