Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Central Centrifugal Cicatricial Alopecia In Pediatric Patients: A Retrospective Analysis, Radhika Gupta, Nikhita Perry, Noelle Desir, Iain Encarnacion, Jonathan Miles, Susan Taylor, Michelle Oboite, Temitaya Ogunleye

Department Dermatology Faculty Publications

[Introduction] Central centrifugal cicatricial alopecia (CCCA) is a scarring alopecia that predominantly affects middle-aged women of African descent.¹ It begins at the vertex scalp and expands centrifugally, and given that symptoms may be absent, many patients have scarring at presentation. CCCA is primarily described in adult populations, with limited reports of CCCA in children.²^-⁴ We aimed to characterize demographics, clinical findings, and histological features among pediatric patients with CCCA to facilitate earlier diagnoses, prior to irreversible alopecia.

Partial Post-Exposure Protection By Topical Inserts Containing Tenofovir Alafenamide Fumarate/Elvitegravir In A Macaque Model Of Rectal Simian Hiv (Shiv) Infection, Natalia Makarova, Tyana Singletary, M. Melissa Peet, Kristen Kelley, Ryan Johnson, Vivek Agrahari, Maria Mendoza, Yi Pan, Walid Heneine, Meredith R. Clark, J. Gerardo García Lerma, Gustavo F. Doncel, James W. Smith

CONRAD Publications

On-demand topical inserts for HIV prevention may be a good option for people who have a low frequency of sexual activity. We recently demonstrated in a preclinical macaque model that rectal application of inserts containing tenofovir alafenamide fumarate (TAF) and elvitegravir (EVG) conferred protection against SHIV infection (93% efficacy) when applied as pre-exposure prophylaxis 4 hours before SHIV exposure. Here, we show that the same inserts provide significant postexposure protection (82.9% efficacy) when applied 4 hours after SHIV exposure. Our findings further support the ongoing clinical development of TAF/EVG inserts for on-demand HIV prevention.

Understanding The Impact Of Psychosocial Barriers On Colorectal Cancer Knowledge In Emerging Black Men, Chelsey Mcgill, Maria D. Thomson, Caroline Kuno, Emmanuel Taylor, Kimberly Lawrence, Alison J. Patev, Arnethea L. Sutton, Ruth Nyagaka, Oxana Palesh, Larry D. Keen Ii

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

In the United States, Colorectal Cancer (CRC) is one of the most commonly diagnosed cancers and the third leading cause of death among non-Hispanic African American/Black (henceforth Black) men. Inadequate CRC knowledge leads to missing early warning signs, delaying prevention and increasing risk. Emerging adulthood (18-25) is a key period for building healthy behaviors and addressing barriers to CRC knowledge in addition to understanding attitudes and practices to CRC screening. Psychosocial barriers - including social support, medical mistrust, and perceived racial discrimination - contribute to the lack of CRC knowledge among older Black men, yet emerging adult Black men remain …

Eeg Signatures Of Motor Development In Early Childhood: A Systematic Review, Sonia Khurana, Ashwini Kulkarni, Thomas C. Bulea, Hunter J. Bennett

Rehabilitation Sciences Faculty Publications

Background

Early identification of motor developmental disorders is limited due to lack of objective neural markers that characterize typical neurodevelopmental patterns. This systematic review interprets and synthesizes existing evidence to propose a framework of EEG signatures associated with motor development in children aged 0-5 years, which may help inform future benchmarks for early assessment and intervention.

Methods

Following PRISMA guidelines, we searched published and gray literature across five databases between 2000 and 2025 (registered protocol). Included studies examined EEG during task-based, resting-state, or sleep studies linked to motor milestones, task performance, or standardized motor assessments. Study quality was assessed using …

Innovative Endovascular Stapling Technique Using The Aortoseal Device In Challenging Infrarenal Aortic Neck, Emidio Germano, Animesh Rathore, David J. Dexter

Department Surgery Faculty Publications

We report the use of the Aortoseal Endostapling system by Endoron in a 63-year-old man with infrarenal abdominal aortic aneurysm with high-risk neck features. Endovascular abdominal aneurysm repair was performed using a Medtronic Endurant IIs endograft with an adjunctive Aortoseal system as part of an international feasibility trial. The procedure was technically successful, with no endoleaks on completion angiography. Follow-up computed tomography angiography at 1 month confirmed a well-deployed AortoSeal system and complete aneurysm exclusion. This case highlights this innovative device and the technical considerations to enhance endograft proximal fixation with the potential to improve long-term outcomes in endovascular aneurysm …

Prognostic Factors For Patients Under 45 Undergoing Surgery For Colorectal Liver Metastases: A Seer Population-Based Study, Gabrielle Grob, Fang Fang, Matvey Karpov, Eric Feliberti, Marybeth Hughes, Rachel Burke, Winifred Lo

Department Surgery Faculty Publications

Background and Objectives: Colorectal cancer (CRC) has been on the rise in adults younger than 50. Surgical resection is a potentially curative treatment option for patients with colorectal liver metastases (CRLM). The aim of this study was to describe patient and tumor characteristics associated with disease-specific survival in young patients (<  45 years) versus older patients (≥ 45 years) with isolated CRLM.

Methods: The SEER database was queried for patients with CRLM who underwent colon and liver resection from 2010 to 2021. Patients under age 20, with metastases beyond the liver, or who had not had surgery for liver metastases were excluded. Cox regression was used to analyze demographic factors, tumor …

Recent Advances In Bioceramics, Fundamental Properties And Future Perspective In Biomedical Applications ‒ A Review, Ayesha Younas, Muhammad Umar Aslam Khan, Mohd Faizal Binte Abdullah, Lobat Tayebi, Shuanghu Wang, Abdalla Abdal-Hay, Yichi Xu

Electrical & Computer Engineering Faculty Publications

Bioceramics are important biomaterials in biomedical engineering because of their biocompatibility, bioactivity, osteoconductivity, and structural resemblance to actual bone tissue. In recent years, materials science and nanotechnology have enabled the use of bioceramics in bone regeneration, dental restoration, tissue engineering, drug delivery systems, and implantable medical devices. This comprehensive review covers advances in bioceramics, including calcium phosphates, hydroxyapatite (HAp), tricalcium phosphate, bioactive glasses, zirconia, alumina, and multifunctional ceramic nanocomposites. Priority is given to techniques such as additive manufacturing, 3D printing, sol-gel processing, electrospinning, and nanostructuring to improve mechanical strength, porosity, bioactivity, and cell interactions. Recent advances include ion doping, surface …

C. Difficile Detection Method For First Responder Glove Application, Alli N. Senedak

Williams Honors College, Honors Research Projects

Clostridioides Difficile (C. diff) is a Anaerobic Gram-positive bacillus that is capable of spore formation, making it difficult to control its spread and duration in clinical environments. This phenomenon can provide danger to first responders, healthcare workers, and patients. The goal of this project is to create a biosensor capable of detecting C. diff in a clinical setting that can be applied to a glove apparatus. The project will involve the use of C. diff aptamers activated on the surface of an electrode. Once surface activation has been verified via surface analysis, the electrodes will be exposed to C. diff …

Absolute Quantification And Identification Of Rna From Rna-Lipid Nanoparticles Using High Resolution Mass Spectrometry, Jason C. Funderburk

Theses and Dissertations

RNA therapeutics are a rising drug category with potential use for a range of conditions encompassing infectious diseases to therapies for cancer, diseases, and genetic disorders. RNA-lipid nanoparticles (RNA-LNPs) are the prominent delivery method for these therapeutics approved products include mRNA vaccines and polyneuropathy treatments. The emergency use authorizations and orphan drug status of current RNA-LNP drugs has allowed approval without finalization of the regulatory analytical procedures for quality monitoring. The objective of the study was to develop an LC-MS assay to simultaneously measure identity and concentration of two therapeutically relevant intact RNA constructs extracted from RNA-LNPs to enhance quality …

Generating Synthetic Ct From Mri Data, Foysal Ahmed

Theses and Dissertations

Magnetic resonance imaging (MRI) provides excellent soft tissue contrast without ionizing radiation, making it a strong alternative to computed tomography (CT) in medical imaging workflows. However, CT remains essential for applications requiring electron density information, such as radiation therapy treatment planning. This study investigated the feasibility of generating synthetic CT (sCT) images from MRI using a deep learning-based U-Net architecture. A two-dimensional U-Net was trained on paired MRI-CT data from the SynthRAD 2025 dataset, consisting of 120 T1-weighted (T1W) and 60 T2-weighted (T2W) axial cases, including deformed CT (dCT) aligned to MRI. Model testing used an independent dataset of 30 …

Magnetic Resonance Only Planning Validation Using Synthetic Ct By Mvision, Eric D. Brass Sr

Theses and Dissertations

Problems: Adaptive radiotherapy requires clinically practical methods for responding to patient-anatomy changes that occur between the original planning images and the day of treatment delivery. Registering a previously acquired computed tomography scan to a newly acquired magnetic resonance image can introduce cross-modality uncertainty and may delay replanning. This thesis evaluates whether synthetic computed tomography generated from same-day magnetic resonance imaging can reduce registration-related uncertainty while supporting rapid dose recalculation for fraction-level adaptation.

Procedure: Magnetic resonance imaging DICOM data were exported from the ViewRay MRIdian treatment planning system and uploaded to MVision for synthetic computed tomography generation. The synthetic computed tomography …

Revisiting Nasal Polyp Scoring In Clinical Trials: Interpretive Variability And The Need For Standardization, Leigh J. Sowerby, Babak Pourmomenarabi, Antonino Maniaci, Olivia Ginty, Joseph Khristian Han

Department of Otolaryngology (ENT) Faculty Publications

[Introduction] Borish et al. provided an excellent review highlighting methodological variability among the six pivotal Phase III trials [1]. One critical yet overlooked issue is the inconsistent application of the endoscopic nasal polyp score (NPS), a primary outcome measure in all trials.

Oropharyngeal Syphilis Presenting As Tongue Based Ulcer With Lymphadenopathy, Serena F. Pu, Kevin J. Carlson, Jonathan R. Mark, Benjamin J. Rubinstein

Department of Otolaryngology (ENT) Faculty Publications

Within the aerodigestive tract, syphilis presents with varied signs and symptoms, some of which may mimic malignancy or other disease processes. We present the case of a 29-year-old man with otalgia and odynophagia who was found on physical examination and office laryngoscopy to have a 4-cm ulcerative mass of the tongue base and cervical lymphadenopathy. While planning for tissue diagnosis, the patient’s serologies revealed positive treponemal antibody testing and elevated rapid plasma reagin (RPR) titers, confirming syphilitic infection, likely representing secondary syphilis. While awaiting operative biopsy, the patient received intramuscular penicillin with complete resolution of the mass and symptoms, and …

Post-Metabolites Of Two Commensal Bacteria Suppress Dna Damage In An Experimental Model Of Acid Reflux Disease, Maanya Pradeep

Honors Undergraduate Theses

Chronic heartburn or gastroesophageal reflux disease (GERD) affects approximately 25% of the US population [1]. Repeated bile acid exposure from the regurgitation of stomach contents leads to the production of reactive oxygen species (ROS), which can cause oxidative DNA damage and promote genomic instability [2]. Barrett’s esophagus (BE), which can develop as a response to chronic bile acid exposure, increases the risk of esophageal adenocarcinoma (EAC) by 30% to 125% [1].

There are more than 18,000 new cases of esophageal cancer in the United States each year, and while its incidence is relatively low compared to other cancers, its mortality …

Magnesium-Based Metal Matrix Nanocomposite Implants And Nanobubble-Based Delivery Systems: Integrated Strategies For Bone Loss Treatment With Cytocompatibility Evaluation, Lucas José Martinho Bizuti

Honors Undergraduate Theses

This thesis intends to investigate the development of different multimodal therapeutic strategies for combating bone loss. Most specifically, this paper will emphasize the utilization of Magnesium-Based Metal Matrix Nanocomposite Implants (MMNC) and Nanobubble-Based Delivery Systems as options for future treatment focus. The effects of biodegradable magnesium implants were evaluated for cytotoxicity and cytocompatibility via Hematoxylin and Eosin, and Masson’s Trichrome staining, as well as radiological images. The Nanobubble-Based Delivery System is being developed and optimized as a delivery system to target osteoclast activity. This paper focused on optimizing experimental parameters, which include Rotational speeds for nanobubble stimulation under microgravity conditions …

Excision Followed By Standing Cone Deformity Repair Is Tissue Conservative, Henry Lim, Christian Scheufele, Marshall Hall, Stephen Weis, Dustin Wilkes

North Texas GME Research Forum 2026

Introduction Elliptical excisions are the most common method to treat benign and malignant tumors in dermatologic surgery. This standardized design is traditionally 3 to 4.5 times longer than the excisional width to prevent unsightly protrusions of skin after primary closure, known as “standing cone,” “Burow’s triangles” or “dog ear” deformities. This results in a scar significantly longer than the original tumor that may be less easily concealed.

Objective To compare the final repair length of a tissue conservative method to remove skin tumors and close resultant defects against predicted repair length of traditional elliptical excision.

Methods Eighteen cases are presented …

Modulating Oran Nitrate-Reducing Bacteria To Enhance Nitric Oxide Bioavailability As A Therapeutic Target For Atherosclerosis, Donovan C. Davidson

CMC Senior Theses

Atherosclerosis remains the primary driver of global cardiovascular disease, yet clinical interventions are largely restricted to high-cost, invasive procedures only after it has reached a critical stage. Recent research has identified a connection between the oral microbiome and vascular health via the enterosalivary nitrate-nitrite-nitic oxide (NO) pathway. Oral nitrate-reducing bacteria (ONRB) drive the synthesization of NO by reducing dietary nitrate into nitrite, which is then converted into bioavailable NO. NO is a potent vasodilator that maintains endothelial health by suppressing inflammation through inhibiting the expression of adhesion molecules VCAM-1 and ICAM-1. However, this pathway is easily compromised by dysbiotic oral …

A Unified Automated And Explainable Ai Framework For Drug Discovery, Clinical Diagnostics, And Public Health Data Prediction, Lord Coffie

College of Graduate Studies: Theses & Dissertations

This thesis investigates the development of automated, explainable artificial intelligence systems to improve automated scientific discovery, clinical diagnostic support, and public health decision-making. Three independent yet thematically aligned studies were conducted across cheminformatics, radiology, and population health. Study A introduces an automated and explainable machine learning pipeline for Quantitative Structure–Activity Relationship (QSAR) modeling using RDKit-derived molecular descriptors. The pipeline performs systematic preprocessing, consensus-based feature selection (mutual information, random forest importance, RFECV), and benchmarks six supervised models—Random Forest, XGBoost, Support Vector Machine, Balanced Random Forest, EasyEnsembleClassifier, and a blended meta-ensemble, achieving AUC = 0.90 and accuracy = 0.83, while ensuring interpretability …

Identifying Relevant Covariates In Rna-Seq Analysis By Pseudo-Variable Augmentation, Yet Nguyen, Dan Nettleton

Mathematics & Statistics Faculty Publications

RNA-sequencing (RNA-seq) technology allows for the identification of differentially expressed genes, which are genes whose mean transcript abundance levels vary across conditions. In practice, RNA-seq datasets often include covariates that are of primary interest in addition to a set of covariates that are subject to selection. Some of these covariates may be relevant to gene expression levels, while others may be irrelevant. Ignoring relevant covariates or attempting to adjust for the effect of irrelevant covariates can compromise the identification of differentially expressed genes. To address this issue, we propose a variable selection method that uses pseudo-variables to control the expected …

Utilizing Machine Learning Techniques For Computer-Aided Covid-19 Screening Based On Clinical Data, Honglun Xu, Andrews T. Anum, Michael Pokojovy, Sreenath Chalil Madathil, Yuxin Wen, Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Scott Moen, Eric Walser

Mathematics & Statistics Faculty Publications

The COVID-19 pandemic has highlighted the importance of rapid clinical decision-making to facilitate the efficient usage of healthcare resources. Over the past decade, machine learning (ML) has caused a tectonic shift in healthcare, empowering data-driven prediction and decision-making. Recent research demonstrates how ML was used to respond to the COVID-19 pandemic. This paper puts forth new computer-aided COVID-19 disease screening techniques using six classes of ML algorithms (including penalized logistic regression, random forest, artificial neural networks, and support vector machines) and evaluates their performance when applied to a real-world clinical dataset containing patients’ demographic information and vital indices (such as …