This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Carbohydrate counting has been shown to improve HbA1c levels for people with diabetes. However, the learning curve and inconvenience of carbohydrate counting make it difficult for patients to adhere to it. A deep learning model is proposed to identify food from an image, where it can help the user manage

Carbohydrate counting has been shown to improve HbA1c levels for people with diabetes. However, the learning curve and inconvenience of carbohydrate counting make it difficult for patients to adhere to it. A deep learning model is proposed to identify food from an image, where it can help the user manage their carbohydrate counting. This early model has a 68.3% accuracy of identifying 101 different food classes. A more refined model in future work could be deployed into a mobile application to identify food the user is about to consume and log it for easier carbohydrate counting.

ContributorsCarreto, Cesar (Author) / Pizziconi, Vincent (Thesis director) / Vernon, Brent (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

Chronic wounds affect many people worldwide and significantly impact their quality of life. Hydrogel wound dressings are a promising option for chronic wounds due to their properties, including mild fabrication conditions, high water content, biodegradability, and bioactive molecule delivery capabilities. This thesis will explore the mechanisms that contribute to the

Chronic wounds affect many people worldwide and significantly impact their quality of life. Hydrogel wound dressings are a promising option for chronic wounds due to their properties, including mild fabrication conditions, high water content, biodegradability, and bioactive molecule delivery capabilities. This thesis will explore the mechanisms that contribute to the wound healing properties of a bovine type I collagen-based hydrogel that incorporates platelet-rich plasma and describe how this hydrogel will be capable of effectively healing chronic wounds.

ContributorsHatch, Trevor (Author) / Stabenfeldt, Sarah (Thesis director) / Vernon, Brent (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2023-05
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Description
Preeclampsia is a condition which arises during pregnancy and can lead to serious, even fatal, complications for the mother and baby. Annually, preeclampsia is responsible for about 50,000 total deaths worldwide, and countless other complications for both the mother and fetus. While high blood pressure and protein in the urine

Preeclampsia is a condition which arises during pregnancy and can lead to serious, even fatal, complications for the mother and baby. Annually, preeclampsia is responsible for about 50,000 total deaths worldwide, and countless other complications for both the mother and fetus. While high blood pressure and protein in the urine are key features, symptoms vary widely, and thus understanding, diagnosing, and treating the condition is of paramount importance. Due to the correlation between preeclampsia and high blood pressure, multiple groups have studied the role of angiogenic growth factors and preeclampsia. We performed an advanced PubMed search to select studies with both preeclampsia and VEGF, a key growth factor for angiogenesis, in the title. The results of examining a total of 65 articles led to the formation of this review article to articulate the studies as a whole and state of the research on VEGF and preeclampsia to date.
ContributorsBoos, Kelsey (Author) / Burnsed, Olivia (Thesis director) / Vernon, Brent (Committee member) / Collins, Jason Mitchell (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05