Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Explorations Of Dna-Single-Walled Carbon Nanotube Interactions To Develop Multiplexed Molecularly Specific Biosensors For Inflammation, Amelia K. Ryan

Dissertations and Theses

Inflammatory cytokines such as interleukin-6 (IL-6) and interleukin-12 (IL-12) are central regulators of immune signaling and key biomarkers of disease, yet existing assays for their detection remain slow, invasive, and lack multiplexing ability. This dissertation advances the development of single-walled carbon nanotube (SWCNT) optical nanosensors capable of real-time, multiplexed, and molecularly specific cytokine detection through innovative use of single-stranded DNA (ssDNA) interfaces.

First, an IL-6-specific DNA aptamer was employed as both a dispersing agent and recognition probe for SWCNT fluorescence sensing. Sequence modifications, including anchor domains, truncations, and thermally induced refolding, were systematically tested to optimize sensitivity and selectivity. The …

Essential Caretaking For Artists With Disabilities: Exploring The Overlooked Histories Of Hazel Knapp And Grandma Moses, Bryan P. Martin

Dissertations and Theses

This thesis explores the intersection of disability studies and art history, addressing the underrepresentation of disability in scholarship, especially concerning medical sociology and caretaking. Focusing on two early-twentieth-century self-taught American artists, Hazel Knapp (1908–95), who fell into obscurity, and Anna Mary Robertson Moses (1860–1961), best known as Grandma Moses, this is a comparative analysis of how disability influenced their artistic practices and shaped their divergent career outcomes. Knapp was born with Charcot-Marie-Tooth disease, a neurodegenerative disorder, and fell into obscurity due to a lack of support for her condition, but experienced a promising start to her career that included patronage …

Implementing A Chatbot To Promote Hereditary Breast & Ovarian Cancer Genetic Screening In Women's Health: Identifying Barriers And Facilitators To Screening Adoption, Easton N. Wollney, Shireen Madani Sims, Luisel J. Ricks-Santi, Elizabeth Eddy, Daniel Wiesman, Carla L. Fisher

Department of Biomedical and Translational Sciences Faculty Publications

Background

To promote genetic screening among women at risk for hereditary breast and ovarian cancer (HBOC), the American College of Obstetricians and Gynecologists recommends that risk assessment be integrated into practice. Chatbots like the Genetic Information Assistant (Gia®) are increasingly implemented to expand access to hereditary genetic screening. Factors that impact chatbot implementation for HBOC risk screening and women's uptake are not fully realized. To refine implementation strategies prior to full scale implementation, we sought to identify women's perceived facilitators/barriers to adopting Gia screening in a rural population within a large healthcare system in the southern United States.

Methods

We …

Pediatric Cancer Incidence, Temporal Trends, And Mortality In The United States By Health Disparities Indicators, Seer (1973-2014), Prachi P. Chavan, Laurens Holmes Jr.

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background: Pediatric cancer incidence has been increasing in the United States, despite improvement in pediatric cancer survival. This steady increase in incidence trends is not completely understood but maybe associated with social and environmental factors. In this study we aimed to assess the cumulative incidence, temporal trends, and mortality rates in pediatric cancer. Additionally, we examined sub-group variability in both incidence and mortality rates. Methods: Data from Surveillance, Epidemiology, and End Results (SEER) −18 from 1973–2014 were used for the purpose of analysis in this study. Age-adjusted incidence rates were used to assess temporal trends in cancer among children aged < 1–19 years. Univariable and multivariable binomial regression models were used to examine the association between race and cancer mortality while adjusting for potential confounders. Results: There were 92,594 cancer diagnoses during this period. White children comprised 74,758, (80.7%), black children 10,030, (10.8%), and other races 6648, (7.2%). Overall the age-adjusted cumulative incidence was slightly higher among white children (16.4%) than black children (12.4%) and other (13.0%). Children aged 15–19 years and those in metropolitan regions were more likely to be diagnosed with pediatric cancer. Relative to females, males were 16% more likely to die from the disease [adjusted Risk Ratio (aRR): 1.16, 95% Confidence Interval (CI): 1.09–1.22]. Additionally, compared to white children, black children had higher mortality rates [(aRR): 1.37, 99% CI: 1.23–1.52]. Conclusions: There is an increasing trend in pediatric cancer incidence; while white children have the highest incidence, black children and males indicated a survival disadvantage, indicative of racial and sex variability in overall pediatric cancer in the United States.

Magnetization Transfer Ratio In The Typically Developing Pediatric Spinal Cord: Normative Data And Age Correlation, Sara Naghizadeh Kashani, Iswarya Vel, Zahra Sadeghi Adl, Shiva Shahrampour, Devon Middleton, Mahdi Alizadeh, Laura Krisa, Scott Faro, Slimane Tounekti, Julien Cohen-Adad, Feroze Mohamed

Department of Radiology Faculty Papers

BACKGROUND AND PURPOSE: This study presents automated atlas-based magnetization transfer (MT) measurements of the typically developing pediatric cervical spinal cord (SC). We report normative MT ratio (MTR) values from the whole cervical cord white matter (WM) and WM tracts, examining variations with age, sex, height, and weight.

METHODS: MT scans of 33 healthy females (mean age = 12.8) and 22 males (mean age = 13.09) were acquired from the cervical SC (C2-C7) using a 3.0 T MRI. Data were processed using the SC Toolbox, segmented, and registered to the PAM50 template. Affine and non-rigid transformations co-registered the PAM50 WM atlas …

The Use Of Coronary Sinus Diameter Measurements To Distinguish Atrioventricular Nodal Reentrant Tachycardia From Atrioventricular Reentrant Tachycardia, Mohamed Ibrahim Ataalla Khalil, Sherif Abd El Salam Sakr, Hany Mahmoud Abd Elshakour, Hoda Mohamed Sobh

Mansoura Medical Journal

Background: Supraventricular tachycardia (SVT) is a common clinical arrhythmia, with atrioventricular nodal reentrant tachycardia (AVNRT) and atrioventricular reentrant tachycardia (AVRT) being the most frequent subtypes. Distinguishing between these arrhythmias is crucial for determining the appropriate treatment strategy. Aim: To evaluate the clinical utility of echocardiographic measurement of coronary sinus (CS) diameter in distinguishing AVNRT from AVRT. Methods: This prospective descriptive study included 54 patients with narrow complex tachycardia who underwent echocardiography then electrophysiology study (EPS). CS diameter was measured at the ostium and 1 cm distal using 2D echocardiography then CS ostium area by 4D echocardiography was measured. Results: Patients …

Comparison Of Transversus Abdominis Plane Block Versus Intrathecal Clonidine In Lower Segment Caesarean Section - A Prospective Observational Study, Christy Maria Paul, Dr Somsundar R G Associate Professor, Dr Archana B N Assistant Professor, Dr. Shivakumar G Pofessor And Hod

Digital Journal of Clinical Medicine

Comparison of Transversus Abdominis Plane Block versus Intrathecal Clonidine in Lower Segment Caesarean Section - A Prospective Observational Study

Background and Objective: In the majority of abdominal procedures, transverse abdominis plane block, one of the fascial plane blocks, has been used extensively to treat post-operative pain. Ultrasound has gained popularity in the management of cesarean patients due to its ease of use and reduced adverse effects.To assess the effectiveness of ultrasound guided transverse abdominus plane block with intrathecal clonidine for post surgical pain control in lower segment cesarean patients.

Material and Methods: This prospective observational study was done in …

Automated Treatment Planning Framework For Cervical Cancer In Brachytherapy, Suman Gautam

Theses and Dissertations

Brachytherapy (BT) is a critical treatment modality for cervical cancer that delivers ionizing radiation directly to the tumor using intracavitary (IC) and/or interstitial (IS) applicators. In high dose-rate (HDR) BT, a remote afterloader guides the radioactive source to specific dwell positions for defined durations, known as dwell times, allowing for a conformal dose to the tumor while minimizing exposure to surrounding organs at risk (OAR). However, due to the inherent nature of ionizing radiation, some dose to OARs is unavoidable, creating a fundamentally conflicting objective in treatment planning: maximizing tumor coverage while minimizing OAR dose. This characterizes the problem as …

Hypnosis And Mindfulness Audio Recordings For Reducing Fatigue In Individuals With Multiple Sclerosis: A Randomized Controlled Study, Mark P. Jensen, Susan Robles, Michael G. Nash, Susanne May, Dwan M. Ehde, Melissa A. Day, Owen Gottlieb, Laurence I. Sugarman, Kevin N. Alschuler

Articles

Background

Fatigue is a common problem in individuals with multiple sclerosis (MS).

Objective

The objective was to evaluate the effects on fatigue of having 4 weeks of

access to audio recordings of therapeutic hypnosis (HYP) and mindfulness meditation

(MM) practices.

Methods

A total of 333 individuals with MS and fatigue were randomly assigned to

one of the three treatment conditions for 28 weeks: (1) access to therapeutic HYP audio

recordings, (2) access to MM audio recordings, or (3) no access to recordings

(treatment as usual or TAU). Fatigue impact (primary outcome) and other outcomes

were assessed at 4, 16, and …

Bacteria-Engineered Vesicles For Cancer Immunotherapy: From Immunomodulation In Vitro To Anti-Tumor Effects In Melanoma Models, Lan Li

Theses and Dissertations--Chemistry

Bacterial vesicles hold immense potential in various biomedical fields. Among these, outer membrane vesicles (OMVs) produced by Gram-negative bacteria are the most extensively studied. While the exact mechanism of OMV production remains unclear, numerous environmental factors have been shown to influence both their yield and composition. In this study, we investigated the effect of three different antimicrobial families on OMV production by E. coli. Interestingly, antimicrobials within the same family did not provide the same effects on OMV yield, suggesting that OMV production may not directly correlate with the antimicrobial mechanism of action. OMVs have demonstrated tumor-inhibitory activity in multiple …

Anaplastic Large Cell Lymphoma In Children And Adolescents, Eric J. Lowe, Wilhelm Woessmann

Department of Pediatrics Faculty Publications

Anaplastic lymphoma kinase (ALK)-positive anaplastic large-cell lymphoma (ALCL) accounts for >95% of ALCL cases in children and adolescents. The first description of ALCL as a CD30-positive lymphoma in 1985 was followed by the detection of chromosomal translocations involving the ALK gene at chromosome 2p23. The pathogenesis of ALK-positive ALCL is based on signalling from the constitutive active ALK kinase. The clinical characteristics, therapy regimens and outcome data were reported in the 1990s and 2000s. Different chemotherapy regimens led to astonishingly similar long-term event-free survival rates of 70%, independent of the drugs, doses and duration of therapy. Additionally, patients with relapsed …

Multi-Modal Mri Based Segmentation Of Brain Metastases Using Adaptive Self-Attention, Evan Savaria

Computer Science Faculty Publications

Brain metastases (BMs) are the most common adult central nervous system malignancy, affecting 20–40% of cancer patients. Accurate segmentation of metastatic lesions in multi-modal MRI is essential for treatment planning and prognosis however, manual delineation is time consuming and prone to variability. Traditional deep learning models such as U-Net, have improved segmentation accuracy but capture limited long-range dependencies and struggle with variations in metastasis size, shape, and distribution. This study introduces the Adaptive Integrated Multi-modal Segmentation (AIMS) model, an adaptive self-attention framework within a hybrid U-Net and Transformer architecture to enhance BM segmentation by leveraging multi-modal MRI integration. The proposed …

Optiselect And Enshap: Integrating Machine Learning And Game Theory For Ischemic Stroke Prediction, Pritam Chakraborty, Anjan Bandyopadhyay, Sricheta Parul, Sujata Swain, Partha Sarathy Banerjee, Tapas Si, Hong Qin, Saurav Mallik

Computer Science Faculty Publications

Stroke analysis using game theory and machine learning techniques. The study investigates the use of the Shapley value in predictive ischemic brain stroke analysis. Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. For each sample, the top 3, 4, and 5 features are evaluated and selected to evaluate their performance. The Shapley value method was used to rank the models using their best four features based on their predictive capabilities. As a result, better-performing …

Delivery Of Medical Supplies To Remote Locations Via Unmanned Aerial Vehicles: Approaches, Challenges, And Solutions, Meshari Aljohani, Ravi Mukkamala, Stephanie Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming more important in improving healthcare logistics, in particular due to their cost effectiveness, minimized risk, and versatile operational capabilities. This study explores the deployment of autonomous UAVs to deliver medical supplies to remote areas. Advances in ledger technology, smart contracts, and machine learning have transformed tasks previously managed by human teams or manually controlled UAVs into fully autonomous missions. We present a comprehensive analysis of the challenges and initial solutions vital for the effective use of autonomous UAVs in the delivery of medical supplies. In addition, we propose a machine-learning model to optimize UAV …

Multi-Level Factors Associated With Low Dose Computed Tomography Lung Cancer Screening In The United States, Tung Sung Tseng, Chien Ching Li, Hui Yi Lin, Kelsey N. Witmeier, Chaoyi Zeng, Yu Wen Chiu, Michael D. Celestin, Edward J. Trapido

School of Public Health Faculty Publications

Low-dose computed tomography (LDCT) screening is recommended for high-risk smokers to decrease lung cancer-related mortality and increase prognosis. In the U.S., the uptake of LDCT screening among eligible smokers is suboptimal. The impacts of social-environmental and individual factors on LDCT screening uptake using nationally representative dataset recommendations are understudied. The current study investigated multi-level factors associated with LDCT screening using national data. Methods: The 2017-2021 Behavioral Risk Factor Surveillance System (BRFSS) data, social determinants of health (SDOH) and other state-level variables (Medicaid expansion status and the number of screening facilities using American Lung Association (ALA) 's State of Lung Cancer) …

The Detection Of Multiple Human Papillomavirus (Hpv) Types Through The Development Of An Isothermal Dna Amplification Assay, Lauren Powell

Doctoral

Human Papillomaviruses (HPV) belong to the Papillomaviridae family, with over 200 known types classified into high-risk (HR-HPV) and low-risk (LR-HPV) groups based on their carcinogenic potential. While most HPV infections are asymptomatic and transient, persistent infection can lead to health issues, including cervical cancer. Given the high prevalence of HPV and its potential for malignant transformation, nucleic acid amplification assays have become a widely implemented tool for routine HPV testing. This study developed a real-time isothermal DNA amplification assay for the detection and differentiation of multiple HPV types. A universal primer set was designed to target a highly conserved region …

Impact Of Bundled Care: Optimizing Pain Management Outcomes In Acute Care, Mary Kelly, Denise Danna, Marsha Bennett, Karen Rice, Helen Calmes, Paige Fisher, Mary Dioise Ramos

School of Nursing Faculty Publications

Purpose: Despite therapeutic advances, inadequate pain management in hospitalized patients often leads to chronic pain and opioid dependency. Nonpharmacologic strategies offer potential benefits, especially when integrated into a bundled care approach that enhances pain management and patient engagement. This research aimed to test the effect of a standardized bundle of evidence-based pain care strategies on medical-surgical patients' perceived pain quality outcomes. Design & Methods: This study employed a 2-group, quasi-experimental design to assess the impact of a unit-based intervention, PAIN-X Therapy, on pain care quality outcomes compared to usual pain care. Results: There were 365 participants included in the study …

Identification Of Fiducial Points In Seismocardiographic Cycles Using Manual And Automated Annotation Methods, Jasmine-Vy T. Truong

Honors Undergraduate Theses

There is currently a need for complementary methods for non-invasive cardiac monitoring. Seismocardiography (SCG), the measurement of cardiac-induced vibrations at the chest surface, has shown potential clinical utility. Improving the reliability of detecting fiducial points of electrocardiography (ECG) and SCG, which collectively capture the electro-mechanical cardiac activities, could expand ECG/SCG utility as a low-cost, accessible tool for clinical assessment. This study identifies commonly accepted criteria for fiducial point detection in SCG and ECG through an extensive literature review and signal processing techniques. The previous criteria were evaluated to identify their strengths and weaknesses. Based on the findings, an improved set …

Fabrication Of Palladium Decorated Zinc Oxide Nanostructures For Non-Enzymatic Glucose Sensing, Reagan Aviha, Anju Joshi, Gymama Slaughter

Center for Bioelectronics Publications

The growing global burden of diabetes necessitates the development of glucose sensors that are not only reliable and sensitive but also cost-effective and amenable to point-of-care use. In this work, we report a non-enzymatic electrochemical glucose sensor based on laser-induced graphene (LIG), functionalized with zinc oxide (ZnO) and palladium (Pd) nanostructures. The ZnO nanostructures were systematically optimized on the LIG surface by varying electrochemical deposition parameters, including applied potential, temperature, and deposition time, to enhance the electrocatalytic oxidation of glucose in alkaline medium. Subsequent modification with Pd nanostructures further improved the electrocatalytic activity and sensitivity of the sensor. The performance …

Electrochemical Strategies For Microrna Quantification Leveraging Amplification And Nanomaterials: A Review, Alexander Hunt, Gymama Slaughter

Center for Bioelectronics Publications

MicroRNAs (miRNAs) are small, non-coding RNAs that regulate gene expression and have emerged as critical biomarkers in various diseases, including cancer. Their stability in bodily fluids and role as oncogenes or tumor suppressors make them attractive targets for non-invasive diagnostics. However, conventional detection methods, such as Northern blotting, RT-PCR, and microarrays, are limited by low sensitivity, lengthy protocols, and limited specificity. Electrochemical biosensors offer a promising alternative, providing high sensitivity, rapid response times, portability, and cost-effectiveness. These biosensors translate miRNA hybridization events into quantifiable electrochemical signals, often leveraging redox-active labels, mediators, or intercalators. Recent advancements in nanomaterials and signal amplification …