Translational Medical Research Commons^™

The Role Of Generative Adversarial Networks In Bioimage Analysis And Computational Diagnostics., Ahmed Naglah

Electronic Theses and Dissertations

Computational technologies can contribute to the modeling and simulation of the biological environments and activities towards achieving better interpretations, analysis, and understanding. With the emergence of digital pathology, we can observe an increasing demand for more innovative, effective, and efficient computational models. Under the umbrella of artificial intelligence, deep learning mimics the brain’s way in learn complex relationships through data and experiences. In the field of bioimage analysis, models usually comprise discriminative approaches such as classification and segmentation tasks. In this thesis, we study how we can use generative AI models to improve bioimage analysis tasks using Generative Adversarial Networks …

Emergency Care For Youth Who Experience Suicidality And Identify As Lesbian Gay Bisexual Transgender Queer/Questioning (Lgbtq+): An Interpretive Phenomenology, Theresa Schultz

Electronic Theses and Dissertations

Purpose: Suicide is a leading cause of death in children; youth who identify as LGBTQ+ are at an exponentially higher risk of suicide. The purpose of this study was to explore the lived experiences of young adults who identify as LGBTQ+ and sought emergency care for suicidality when they were adolescents.

Methods: Heideggerian hermeneutics phenomenology is the research method used in this study. Youth, ages 18-25 years, who identify as LGBTQ+ and sought emergency treatment for suicidality when they were adolescents (13-17 years) were recruited to participate;fifteen youth enrolled. Individuals ranged in age from 20 to 25 years. Participants described …

Role Of Deep Learning Techniques In Non-Invasive Diagnosis Of Human Diseases., Hisham Abouelseoud Elsayem Abdeltawab

Electronic Theses and Dissertations

Machine learning, a sub-discipline in the domain of artificial intelligence, concentrates on algorithms able to learn and/or adapt their structure (e.g., parameters) based on a set of observed data. The adaptation is performed by optimizing over a cost function. Machine learning obtained a great attention in the biomedical community because it offers a promise for improving sensitivity and/or specificity of detection and diagnosis of diseases. It also can increase objectivity of the decision making, decrease the time and effort on health care professionals during the process of disease detection and diagnosis. The potential impact of machine learning is greater than …

Primary Cilia Of The Cardiac Neural Crest & Hedgehog-Mediated Mechanisms Of Congenital Heart Disease, Lindsey A. Fitzsimons

Electronic Theses and Dissertations

Elimination of primary cilia in cardiac neural crest cell (CNCC) progenitors is hypothesized to cause a variety of congenital heart defects (CHDs), including atrioventricular septal defects, and malformations of the developing cardiac outflow tract. We present an in vivo model of CHD resulting from the conditional elimination of primary cilia from CNCC using multiple, Wnt1:Cre-loxP, neural crest-specific systems, targeting two distinctive, but critical, primary cilia structural genes: Intraflagellar transport protein 88 (Ift88) or kinesin family member 3A (Kif3a). CNCC loss of primary cilia leads to widespread CHD, where homozygous mutant embryos (MUT) display a variety of outflow tract malformations, septation …

Adipose-Derived Stromal Vascular Fraction Therapy Improves Age-Related Adrenergic Mediated Microvascular Dysfunction And Increases Revascularization Potential Following Injury., Gabrielle Brown

Electronic Theses and Dissertations

The role of the microcirculation is to balance blood flow and oxygen delivery to meet local metabolic and oxygen demands. With advancing age, the health of the endothelium declines leading to improper augmentation of the microcirculation; decreasing vasoreactivity and angiogenic potential which can further increase the risk of ischemia. The multiple contributing factors that drive the decline in endothelial health with age make traditional pharmacological interventions challenging whereas cell-based therapies can exert multifactorial gains. Adipose-derived stromal vascular fraction (SVF) is an emerging therapeutic for its easily accessible, autologous, anti-inflammatory, and angiogenic properties. It is a heterogenous population comprised of leukocyte …