2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers, but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.

The purpose of this cookbook and ingredient index is to simplify the reasoning behind eating a plant based diet--including how it can be beneficial to your health, and what benefits each ingredient provides. These recipes have been cultivated and modified over time to provide nutritious meals that are also tasty. I was introduced to healthy eating at a young age, and have been fascinated by it ever since. The recipes and information conveyed about a plant based diet have come from the many books read and research I have done on the subject. This paper will walk you through how I started this journey, and go on to show a basic overview of what makes up the foods we consume and why we need them. The cookbook portion of my Thesis contains recipes for breakfast, lunch, dinner, snacks, sauces, and dessert. Following the cookbook is an ingredient index that goes through the majority of ingredients used in my recipes, and what health benefits they provide. I hope that by reading this, others will be inspired to use more plant-based whole foods in their diet, and realize the healing that can come from them.

Habitual Health is a holistic health firm meant to provide the Arizona State University students with awareness of healthy practices. Our Founders Ava Bobbs, Mario DiVenere, and Jack Hammond have found that students have a severe lack of knowledge involving healthy practices including diet, fitness, and cooking. The combination of our strengths and complements to weaknesses puts the firm in a strong position to garner market share and provide value to our company. Throughout on-campus research, the team found that the average Arizona State University student does not feel that they have the sufficient means to be healthy, which is a huge misalignment that prevents the average ASU student from living a healthy lifestyle. This is where Habitual Health comes in, we are going to bridge the gap between the lack of information about healthy initiatives and the implication that living a healthy lifestyle is too expensive, difficult, and time consuming. Habitual Health is a paid platform where ASU students can go to access fitness plans, recipes, topical discussions and analysis, and other health related resources. The product we have established is an interactive, user-friendly website that includes various healthy recipes, nutritional tips and habits, and physical exercise routines. Our data is based on running the website from 01/20/2023 - 03/01/2023. Our company's value proposition is that students’ health would benefit long-term from our platform's resources. We have targeted the ASU Greek Community, which includes roughly 6% of the ASU population.1 We tested our product within the Greek community because of the tight knit nature of the community, as well as the communal kitchen system in the Greek Leadership Village making it harder for those individuals to cook for themselves. We expect to see a revamped community within the GLV, causing a positive impact across the entire campus.