Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Bridging Data Gaps In Retinal Imaging: From Structural Domain Adaptation To Topology-Aware Synthesis, Gözde Merve Demirci

Dissertations, Theses, and Capstone Projects

Comprehensive visualization of the retina is essential for diagnosing and monitoring blinding diseases such as Diabetic Retinopathy and Retinopathy of Prematurity (ROP), where pathological changes often extend beyond a single field of view. Despite significant advances in automated retinal image analysis, clinical deployment remains limited by two fundamental data gaps: a structural learning gap, arising from scarce expert annotations and poor generalization across imaging domains, and a spatial coverage gap, caused by the difficulty of acquiring multi-view retinal images in fragile populations. Although these challenges are often addressed independently, this dissertation argues that they are tightly coupled: accurate, …

Development Of Ultrafast Protein Digestion And Standards Free Quantitation Methods For Mass Spectrometric Analysis, Praneeth Ivan Joel Fnu

Dissertations

A wide variety of biologically important molecules, such as enzymes, antibodies, hormones, transporters and receptors are proteins by composition and they play key roles in biological functions such as cellular regulation, communication, metabolism and physiological function. Protein dysfunctions and abnormalities are associated with numerous diseases, making proteins critical targets for understanding disease mechanisms and developing therapeutic interventions. Protein-based therapeutics such as monoclonal antibodies, hormones and vaccines gained popularity due to their high specificity, efficacy, and ability to treat complex diseases that are often difficult to address with small-molecule drugs.

Given the important role of proteins in a variety of biological …

Closing The Loop: Strengthening Cauti Prevention With Urinary Catheter Management, Erika N. Braun

Master's Projects and Capstones

Objective: Catheter-associated urinary tract infections (CAUTIs) are among the most common preventable healthcare-associated infections and are associated with significant patient harm and increased healthcare costs. Baseline assessment across five adult cardiovascular and critical care units within a community-based acute care hospital identified four CAUTI events during the first half of 2026 and revealed important nursing knowledge deficits related to bladder scanning protocols and urinary catheter management practices. Aim: This Quality Improvement (QI) Project aimed to improve nursing knowledge of evidence-based bladder scanning protocols and urinary catheter management practices through targeted educational interventions implemented over a 10-week period, with …

A Dosimetric Comparison Of 6-Mv Flattening Filter And Flattening Filter-Free Photon Beams For Stereotactic Body Radiation Therapy Of Adrenal Tumors, Sarah Mcintosh

Masters Projects

Purpose: This study aimed to compare dosimetric characteristics and treatment delivery efficiency between 6-MV Flattening Filter (FF) and Flattening Filter-Free (FFF) photon beams for adrenal Stereotactic Body Radiation Therapy (SBRT). While FFF beams have demonstrated dosimetric and efficiency advantages at other SBRT sites, there is limited data about their use in adrenal SBRT.

Methods and Materials: A retrospective dosimetric comparison was performed using 10 patients previously treated with adrenal SBRT. For each patient, two Volumetric Modulated Arc Therapy (VMAT) plans were generated in Eclipse: one using 6-MV FF beams and one using 6-MV FFF beams, resulting in 20 total treatment …

Dibh Liver Sbrt: Comparative Analysis Of Vmat 6fff And 10fff For Safety And Efficiency, Justen Hudson

Masters Projects

Purpose:

To evaluate the dosimetric performance and delivery efficiency of 6MV flattening filter free (6FFF) and 10MV flattening filter free (10FFF) VMAT beam energies for deep inspiration breath- hold (DIBH) liver stereotactic body radiation therapy (SBRT), with emphasis on treatment time, breath-hold demands, and organ at risk (OAR) sparing.

Methods:

Ten previously treated DIBH liver SBRT patients were retrospectively replanned using standardized VMAT geometry, identical optimization objectives, and consistent contouring. Each patient received paired 6FFF and 10FFF plans generated in Eclipse using AcurosXB. Dosimetric endpoints included target coverage, conformity index (CI), gradient index (GI), and OAR dose metrics based on …

Administrative And Clinical Impacts Of Theranostic Program Expansion In Nuclear Medicine, Karmela Kljajic Pascual

Radiologic Sciences

Purpose To synthesize current evidence on theranostic trials, nuclear medicine clinical workflow models, and organizational readiness, with a focus on how healthcare organizations and medical imaging leaders are adapting to the rapid expansion of theranostic services.

Method A comprehensive search was conducted across Scopus, PubMed, MEDLINE, and Google Scholar. Inclusion criteria required peer‑reviewed articles published between 2002 and 2026 addressing nuclear medicine leadership, theranostic implementation, workflow design, and organizational factors influencing theranostic program development. Exclusion criteria removed editorials, blog posts, and nonpeer‑reviewed sources.

Results Four major themes emerged: workforce and staffing demands, infrastructure and resource requirements, regulatory and administrative pressures, …

Assessing The Impact Of Knowledge-Based Planning On Dosimetric Performance In Adaptive Prostate Sbrt Planning, Kayla Kenny

Masters Projects

Daily adaptive prostate stereotactic body radiation therapy (SBRT) is now feasible with advances in adaptive radiotherapy and automated optimization. However, the dosimetric quality of Ethos Intelligent Optimization Engine version 2 (IOE v2) automated plans may vary because optimization is based on user-defined templates rather than patient-specific dose guidance. This retrospective study evaluated whether integrating RapidPlan knowledge-based planning (KBP)–derived optimization objectives into the Ethos IOE v2 adaptive planning workflow improved dosimetric quality for prostate SBRT. Fifteen intact prostate SBRT patient datasets were evaluated. For each patient, three plans were generated: a baseline Ethos IOE v2 reference plan (Ref), a plan incorporating …

Id-More Vision: Real-Data Machine-Learning Assessment For A Digital-Twin-Inspired, Xr-Ready Rehabilitation Prototype, Rickey L. Clark

Master's Theses

Rehabilitation assessment often relies on periodic observation, while many XR prototypes show scripted rather than recorded-motion evidence. iD-MORE Vision is an offline pipeline trained on KIMORE and IRDS and linked through JSON packets to a two-mode Unity desktop prototype. Both datasets include controls and rehabilitation participants with neurologic, musculoskeletal, or mobility impairments. This improves relevance but does not clinically validate the system.

Under fixed subject-wise splits, the primary five-seed Random Forest predicted KIMORE clinician scores with MAE 6.087 ± 0.044 cTS and R² 0.568 ± 0.006; the subject-level R² interval crossed zero. The primary IRDS five-run CUDA GRU averaged 0.877 …

Elucidation Of Micro/Nanoplastic Signature Of Human And Murine Lung Tissue Utilizing Pyrolysis-Gas Chromatography/Mass Spectrometry, Aerlin D. Decker

Pharmaceutical Sciences ETDs

Micro-and Nanoplastics (MNPs) are ubiquitous biological pollutants that have been identified throughout a variety of biological samples. MNPs have been detected in several human tissues, such as the brain, kidneys, and liver. Lung tissue remains understudied for MNP accumulation despite the large surface area and clear path for exposure. Using Pyrolysis-Gas Chromatography Mass Spectrometry (Py-GC/MS), human lung tissue was evaluated for 12 different polymers, enabling quantification of total plastic per gram of tissue to be identified. Further analysis was performed with Inductively Coupled Plasma Mass Spectrometry (ICP-MS) to investigate heavy metal accumulation in human lung samples and determine whether a …

(Re)Claiming Homeplace: Dance As Embodied Resistance & Healing For Health & Spatial Justice, Preeya G. Kannan

University Honors Theses

This thesis argues that dance functions as both an upstream public health intervention and a form of radical spatial resistance; creating healing, agency, and belonging among historically marginalized communities. Drawing on bell hooks' concept of homeplace, Jasbir Puar's assemblage theory, Nancy Krieger's eco-social theory, and Katherine McKittrick's Black geographies, I position the body as both an ecological and political landscape shaped by histories of colonialism, racial capitalism, displacement, and resilience.

Through this community-based participatory research study, Homeplace, I explore dance as a form of social prescription that centers liberation rather than pathology. Movement is often reduced in public health discourse …

Rehabvr: A Virtual Reality System For Upper-Body Orthopaedic Physical Therapy Rehabilitation, Winnie Brenda Wanjiru Waiya

Computer Science Senior Theses

Physical therapy is a central component of rehabilitation for musculoskeletal conditions, yet adherence to prescribed treatment remains persistently poor. Jack et al. identified pain, boredom, and insufficient feedback as key barriers to treatment adherence in physiotherapy outpatient settings,¹ and Rucinski et al. confirmed that non-adherence rates in orthopaedic populations remain between 50 and 70%, with patients who disengage facing elevated risk of reoperation, progressive functional decline, and poor clinical outcomes.² According to the World Health Organization, approximately 1.71 billion people globally live with musculoskeletal conditions,³ with shoulder pain specifically carrying a community prevalence ranging from 0.67 to 55.2% worldwide and …

Evaluation Of Neuroplastic Changes In Psychological Intervention And Contemporary Treatments Of Depression, Taylor Severance

Dissertations

Major depressive disorder is one of the most prevalent mental health disorders worldwide. There is a vast range of treatment options for depression, with varying levels of effectiveness. Recent treatments for depression have expanded, increasing alternative treatments, and it is unknown which treatments have the largest impact on depression. This research was designed to examine the treatments of depression, with a focus on psychotherapy and contemporary treatments such as ketamine, psilocybin, and transcranial magnetic stimulation. A literature review was conducted to assess treatment outcomes and neuroplastic changes in these interventions, as well as combinations of the interventions. Data were evaluated …

Cerebral Palsy Detection In Neonatal Intensive Care Unit Infants, Anais Jeday, Shane Tryon, Bryanna Leary, Oleana Jacobson

Biomedical Engineering

The project is conducted in collaboration with Dr. Eric Espinoza-Wade to develop a secure, accurate wearable sensing system for infants in the Neonatal Intensive Care Unit (NICU) who have experienced asymmetric perinatal brain injury (APBI). Infants with APBI are at increased risk for developing unilateral cerebral palsy; however, clinical diagnosis is often delayed until 12–24 months of age, limiting opportunities for early intervention.

The goal of the project is to design a wearable system that securely attaches small, lightweight accelerometers to an infant’s limbs to quantify bilateral limb movement. Triaxial acceleration data will be used to detect movement asymmetries, which …

Exercise Prescription For Adults With Prediabetes In The Primary Care Clinic, Katherine W. Hall

Doctor of Nursing Practice Final Manuscripts

Prediabetes affects approximately one in three adults in the United States, with an estimated 10% progressing to Type 2 Diabetes Mellitus (T2DM) annually. Despite strong evidence supporting exercise as a first-line intervention to prevent disease progression, most patients in primary care settings do not receive structured physical activity counseling. This evidence-based project (EBP) aims to address this gap by implementing a standardized protocol to assess baseline physical activity levels and deliver individualized exercise prescriptions to adults with prediabetes in the primary care clinic.

Eligible participants, defined by HbA1c values between 5.70% and 6.49%, were identified during routine primary care visits …

Quality Improvement (Qi) Project Aimed At Reducing Unnecessary Antibiotic Usage Among Older Adult Patients By Addressing Inappropriate Antibiotic Prescribing In Primary And Long-Term Care Settings, Pamela M. Thomas

Seton Hall University Dissertations and Theses (ETDs)

Antibiotic overuse among older adults remains a significant patient safety and public health concern. Recent national data indicate that approximately 30%–50% of outpatient antibiotic prescriptions may be unnecessary, particularly for viral or self-limiting conditions (Chua et al., 2021). Antimicrobial resistance has been associated with more than 1.27 million deaths globally (Murray et al., 2022). This quality improvement project evaluated a multifaceted antimicrobial stewardship intervention in primary and long-term care settings. Baseline review of 167 antibiotic cases revealed 37.1% were inappropriate or questionable, and 28.7% lacked adequate diagnostic documentation. The intervention incorporated provider education, electronic health record decision-support tools, audit and …

Validation And Implementation Of Automated Planning Optimization In Utah Valley Hospital, Oluwatobi Adeniji

UNLV Theses, Dissertations, Professional Papers, and Capstones

The increasing complexity of modern radiotherapy demands planning workflows that are efficient, standardized, and dosimetrically robust across diverse disease sites. Knowledge-based planning (KBP) systems such as RapidPlan offer a data-driven approach to automate and improve treatment planning by learning geometric–dosimetric relationships from high-quality clinical plans. In this work, I am evaluating the performance, generalizability, and clinical applicability of vendor-provided RapidPlan models across seven anatomical sites: intracranial SRS, prostate SBRT, right and left lung SBRT, liver SBRT, head and neck, and glioblastoma. Subsequently, a complementary institution-specific SRS model tailored to single-isocenter multitarget workflows was created. Seventy retrospectively selected patients were replanned …

From Evidence To Practice: Improving Diabetic Patient Outcomes By Increasing Statin Utilization, Elizabeth Mcfalls

Evidence-Based Practice Project Reports

Cardiovascular disease (CVD) prevention in patients with diabetes is essential, as heart disease remains the leading cause of death within this population (American Diabetes Association, n.d.). The purpose of this evidence-based project is to improve patient outcomes by enhancing adherence to statin therapy. A thorough literature review yielded 246 pieces of moderate-to-high-quality evidence; of these, eight articles were appraised in detail and selected for project inclusion. The strongest evidence identified four meaningful interventions. Thus, a multimodal approach was indicated for this project. This included addressing barriers to therapy, creating practice nudges, implementing a shared decision-making (SDM) tool, and utilizing clinical …

Hyposense: Multimodal Physiologic And Voc Wearable For Early Hypoglycemia Detection, Nidhi R. Patel

Honors Theses

Hypoglycemia remains a significant safety concern for insulin-dependent individuals, especially when blood glucose declines rapidly during exercise, sleep, or periods of impaired hypoglycemia awareness. Current continuous glucose monitors and automated insulin delivery systems have helped to improve diabetes management, but these technologies primarily respond to glucose trends after they have already started and may not actually provide sufficient warning before symptoms occur. This thesis describes the development of HypoSense, a noninvasive wrist worn wearable concept that is designed to support earlier hypoglycemia risk detection through multimodal physiologic and volatile organic compound emission sensing. HypoSense combines volatile organic compounds/gas sensing with …

A Critically Appraised Topic: Effectiveness Of Hydrogen-Rich Water Therapies In Reducing Inflammation, Bill Craig, Dawn Hammerschmidt, Jay Albrecht

Dissertations, Theses, and Projects

Inflammation is an important part of healing, but prolonged inflammation or inflammatory disease can cause excess pain and tissue damage. Hydrogen-rich water therapies have shown to have positive effects on this wide variety of conditions and may have a role in future therapeutic intervention for inflammatory conditions and acute injury care. Hydrogen is a commonly known element that has recently been the subject of scientific studies to analyze its beneficial properties when used as a therapeutic intervention. Hydrogen is physically the smallest element on the periodic table, and when two hydrogen atoms combine to form H2, it is known as …

What Are The Specific Parameters Of Cold-Water Immersion On Its Positive Effects On Recovery And Sleep In The Physically Active Population?, Landyn L. James, Jay Albrecht, Dawn Hammerschmidt

Dissertations, Theses, and Projects

Cold-water immersion (CWI) is widely used in athletic and rehabilitative settings to enhance post‑exercise recovery, yet optimal treatment parameters remain inconsistent across clinical practice. Physically active individuals frequently seek recovery strategies that improve muscle function and sleep quality, creating a need to evaluate the evidence supporting specific CWI protocols. Focused Clinical Question: The purpose of this critically appraised topic (CAT) was to determine which temperature and duration parameters of CWI most effectively improve muscle recovery and sleep in physically active populations. A focused clinical question was developed using the PICO framework. Search Strategies: Systematic reviews and meta-analyses were identified through …

Targeting The Dorsolateral Prefrontal Cortex With Transcranial Direct Current Stimulation To Improve Depression And Anxiety In Parkinson's Disease, Brock Renicks

Honors Theses

The aim of this study is to observe the outcomes of transcranial direct current stimulation (tDCS) as a treatment for Parkinson’s Disease (PD). This study will primarily look at changes in depression and anxiety, as these symptoms are often comorbid with Parkinson’s Disease. Transcranial direct current stimulation is a non-invasive, very low-intensity form of electrical stimulation of the brain. It is being increasingly used as a form of treatment for Parkinson’s Disease and depression and anxiety, however the literature is ambiguous, showing mixed results throughout various studies, with no standardization of tDCS administration. To determine the effect of tDCS on …

Comparative Investigation Of Bacterial Adhesion On Medical Device Thermoplastics, Dev V. Mehta

Honors Theses

This project will focus on determining if differences in bacterial cell wall composition influences adhesiveness to thermoplastic materials used to construct patient orthotic splints. Bacteria with decreased adhesion are unable to remain bonded to orthotic splints, increasing its ability to transfer to a patient’s wound, leading to an infection. Antibiotic resistant bacteria used in this investigation included gram-positive cocci vancomycin-resistant (VRE) Enterococcus faecalis, methicillin-resistant Staphylococcus aureus (MRSA), and gram-negative rods extended-spectrum beta-lactamase (ESBL) Escherichia coli and Pseudomonas aeruginosa. Each test bacterium is a major pathogen causing healthcare-associated infections (HAIs). Saline, artificial perspiration, and ascites fluids were used to determine the …

Determinants Of Hypertension Awareness And Control In Kenya: A Secondary Analysis Of National Survey Data, Alexander K. Davis

Honors Theses

In low- and middle-income countries (LMICs), cardiovascular diseases (CVDs) are prevalent and pose a major concern as the current healthcare systems are oriented primarily towards communicable diseases. The largest contributor to CVDs, hypertension, is a significant issue in Kenya, a model LMIC. Based on previous studies in this lab, high rates of hypertension are present in the region of Kasigau, Kenya. Kasigau is a small region within Taita-Taveta County, Kenya. Traditional risk factors are not necessarily predictive of hypertension in all regions of Kenya. This study aims to address the lack of tested risk factors for hypertension in Kenya and …

Expanding Access To Noninvasive Spinal Neuromodulation For Pediatric Spinal Cord Injury Rehabilitation: A Comparative Device Study, Alice E C Palmer

College of Arts & Sciences Senior Theses

Paralysis following spinal cord injury (SCI) has traditionally been considered permanent due to the disruption of supraspinal input to spinal motor circuits. However, growing evidence suggests that spinal networks below the level of injury retain intrinsic motor-generating capabilities through central pattern generators. Transcutaneous spinal cord stimulation (scTS) is a noninvasive neuromodulation technique that delivers electrical stimulation through the skin to reactivate these spinal networks. Although prior studies demonstrate that scTS delivered through research-grade devices is safe and effective in adults and children with chronic SCI, clinical translation remains limited by lack of FDA-approved systems, high costs, and restricted access to …

Evaluation Of The Effectiveness Of Antihypertensive Therapy Chosen Through Maternal Hemodynamic Profile Analysis, Margaret Weimer

Honors Theses

Medication choice is tightly regulated in most situations, but in the field of obstetric medicine, the American College of Obstetricians and Gynecologists (ACOG) recommends both labetalol and nifedipine as oral treatments for emergent hypertension, with no preference shown between the two. Studies have suggested that consideration of hemodynamic profile may be an effective way to determine medication, but have not considered the Rule of 55, a simple calculation to predict hemodynamic profile. The goals of this study were to determine whether tailoring the oral hypertensive medication to a patient’s hemodynamic profile is associated with better blood pressure control within 72 …

Spectral Characterization Of Colorectal Cancer Using Excitation-Scanning Hyperspectral Imaging, Natalie Hadad

Honors Theses

Colorectal cancer is one of the most common and deadly cancers worldwide, with a lifetime risk of approximately one in twenty-three for men and one in twenty-five for women. Although early detection significantly improves survival, current diagnostic approaches such as tissue biopsy are invasive, reliant on subjective interpretation, have extended turnaround times, and risk missing flat or depressed lesions that are more difficult to detect than raised polyps. These limitations highlight the need for objective, minimally invasive technologies capable of detecting early tissue changes. This study investigates excitation-scanning hyperspectral imaging (Ex-HSI) as a label-free optical approach for identifying colorectal cancer–associated …

Novel Biomarker Discovery In Multiple Sclerosis, Manisha Gangasani

Honors Theses

Multiple Sclerosis (MS) is a chronic neuroinflammatory disorder affecting the brain, spinal cord, and optic nerve. Patients experience cognitive, motor, autonomic, and emotional symptoms that often overlap with other neurological conditions, making early diagnosis challenging. Current diagnostic criteria require evidence of lesions with dissemination in time and space. Racial disparities in MS outcomes are well documented, with Black individuals often exhibiting greater disease severity, higher relapse rates, and increased disability compared to White individuals. These differences likely reflect a combination of genetic, biological, environmental, and healthcare access factors, underscoring the need to improve early diagnosis and reduce inequities in care. …

Characterization Of Circulating Extracellular Proteome In Plasma Samples Of Triple-Negative Breast Cancer Patients, Brionna Wilson

Honors Theses

Extracellular vesicles (EVs) are membrane-bound vesicles secreted by cells in the body that play an important role in intercellular signaling, immune modulation, and transfer of biomolecules between cells. EV s reflect the physiological state of their cells of origin, so they are being explored as potential noninvasive biomarkers for cancer detection and monitoring. Triple-negative breast cancer (TNBC), an aggressive subtype lacking targeted therapies, is difficult to detect early and currently has no reliable prognostic biomarkers. This study aimed to quantify EV concentrations in the blood serum of TNBC patients (n=40) compared with cancer-free healthy controls (n=35) as well as determine …

Developing A Protocol For Non-Cellular Transplantation Of Donor Mitochondria Into Recipient Cells, Andrew Parton

Honors Theses

Tumor innervation has emerged as a critical feature of cancer progression, with increased nerve density correlating with enhanced aggressiveness, metastatic dissemination, and poor clinical outcome. However, the functional contribution of neurons to tumor biology remains incompletely defined. We recently identified the intercellular transfer of mitochondria from neurons to cancer cells as a mechanism that promotes tumor progression. We therefore hypothesized that disruption of this transfer could attenuate tumor aggressivity. To directly investigate this process, we developed an approach to isolate mitochondria from donor cells and transplant them into recipient cancer cells independently of canonical cell-cell interactions. Transferred mitochondria were tracked …

An Investigation Of Data Granularity In Rag Pipelines For Personalized Medicine, Paritosh Pandey

Master's Theses

Generative AI, exemplified by large language models like the OpenAI GPT and Meta LLaMA families, can produce diverse content in response to prompts. This capability offers a promising solution to challenges in precision medicine, which seeks to tailor treatments to individual clinical profiles but often struggles with data collection, cost, and privacy concerns. By generating realistic, privacy-preserving patient data, generative AI has the potential to transform patient-centric healthcare. With such motivation, this research develops a comprehensive Generative AI pipeline emphasizing data granularity for accurate prediction of personalized treatments. The pipeline features a central Large Language Model interacting with a Machine …