Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Handheld Magnet Screening Of External Fixator Components: A Laboratory Assessment Of Gross Ferromagnetism Relevant To Mri Safety, Troy B. Puga, Mckenna W. Box, Lyn D. Ward, John T. Riehl

North Texas GME Research Forum 2026

Introduction Much controversy remains regarding the ability of patients with an external fixator in place to undergo Magnetic Resonance Imaging (MRI). The main concern for radiology departments is that the external fixator system components can lead to adverse events due to interactions of the external fixator and the magnet of the MRI. However, there is no clear evidence to support these claims or theories in the current literature. Yet, MRI’s are denied daily across the country for patients having an external fixator in place. Numerous patients with an external fixator would likely benefit from an MRI to prevent delayed care, …

Efficacy And Outcomes Of Oxidized Regenerated Cellulose (Orc) In Total Joint Arthroplasty (Tja): A Systematic Review And Meta-Analysis, Jenna Chrabolowski, Troy B. Puga, Abanoub Attalah, Kyle P. O'Connor, Mckenna W. Box, Ashley Stovall, Michael Muncy, John T. Riehl

North Texas GME Research Forum 2026

Introduction Intraoperative and postoperative blood loss is a major concern and challenge for surgeons in total joint arthroplasty (TJA). Patients with large blood loss can develop postoperative anemia and associated complications. Novel hemostatic agents, such as oxidized regenerated cellulose (ORC) have grown in popularity as intraoperative hemostatic adjuncts. The aim of this systematic review and meta-analysis is to evaluate the efficacy of ORC for intraoperative and postoperative blood loss.

Methods A search was conducted across MEDLINE/Pubmed, Cochrane, Google Scholar, Web of Science, and Embase databases. Titles and abstracts were screened for eligibility for inclusion criteria. Full texts were screened and …

Positive Efast—Not So Fast, Barry J. Knapp, Mitchell Vallone, Megan Duggins, Matt Jones, Jacob Knapp, Lily Kauffman, Alexander Dornstauder

Department of Emergency Medicine Faculty Publications

[Patient presentation] A 68-year-old man presented via emergency medical services (EMS) with right hip pain following a traumatic fall from his bicycle. On arrival at the emergency department, he was alert and oriented. Physical examination revealed only tenderness over the greater trochanter of the left femur, with no significant pain on passive range of motion of the left hip. Plain radiography demonstrated a left acetabular fracture (Fig 1).

Chatbot Therapy - Help Or Hindrance, Kadi Rae Smith

Anthós

Introduction

Generative artificial intelligence (Gen-AI) chatbots are complex computer programs designed to mimic human conversations using programming that incorporates large language models (LLM) and natural language models (NLM) to simulate human interactions that are being rapidly integrated into everyday life across an increasing amount of online platforms. This article explores the applications and efficacy of chatbots for mental healthcare, from self-directed chatbot interactions to clinician-supervised implementation of chatbot-based therapeutic tools, weighing the benefits and limitations of this ever-expanding technology.

Methodology/Taxonomy

A literature review was conducted primarily using Web of Science, accessed through Portland State University, and Google Scholar, with specifications …

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 …

Comparative Analysis Of Serum-Free Culture Conditions On Cell Proliferation And Extracellular Vesicle Production By Adipose-Derived Stem Cells, Ayna Ghulldu

Honors Undergraduate Theses

Adipose-derived stem cells (ADSCs) are promising candidates in regenerative medicine due to their proliferative capacity, self-renewal, and secretion of extracellular vesicles (EVs) that mediate intercellular communication. Serum-free media has been increasingly explored for MSC culture as it eliminates xenogeneic components, improving human therapeutic suitability. However, comparative evaluation of distinct serum-free formulations on ADSC proliferation and EV output simultaneously remains limited. This study compares a serum-containing medium to three proprietary serum-free media prototypes differing in composition, including the presence or absence of extracellular matrix proteins, to inform the optimization of culture conditions for clinical use. Proliferation, EV characteristics, and gene expression …

The Impact Of Gastric Sleeve And Roux-En-Y Gastric Bypass On Chief Cell Function And Protein Digestion In Obese Patients, Garikoitz Mikel Gainza

Honors Undergraduate Theses

Obesity has become one of the largest global health concerns of the 21^st century, correlating with numerous associated diseases. To help address the growing prevalence and burden of obesity, sleeve gastrectomy and Roux-en-Y gastric bypass have become two commonly performed surgical procedures done to promote weight loss by altering the anatomical structure of the stomach and surrounding organs of the gastrointestinal system. Although the benefits of improved metabolism linked to these surgical procedures are well studied, their impact on the physiology of gastric cells, and more specifically chief cells as they relate to protein digestion post-surgery, is yet to …

Esophageal Stents: How High Can You Go? A Traumatic Injury Treated With High Esophageal Stent Placement, John W. Surbeck, Anthony P. Melillo, James S. Scott

MidAmerica Division GME Healthcare Symposium 2026

No abstract provided.

Opioid Prescribing Patterns Following Isolated Trigger Finger Release: A Single-Institution Quality Improvement Study, Brandalynn Mathis, Robert Garner, Cameron Sprong, Mark Gamadia, Alan Cornett, Steven Smith

MidAmerica Division GME Healthcare Symposium 2026

No abstract provided.

Implications Of Glp-1 Receptor Agonist Semaglutide For Hysterectomy Outcomes, Tess Branstetter, Megan Foster, Abbey Fritzel, Kimberly Swan, Alyssa Kozlowski, Jeffrey Durbin, Jordan Martin, Kari Nilsen

MidAmerica Division GME Healthcare Symposium 2026

No abstract provided.

Case Report: Spontaneous Gastric Intramural Hematoma With Intramural Dissection, Pedro De Castro, Rachel Steffes, John Surbeck, Anthony Melillo, Vince Narciso, Mohsin Soliman

MidAmerica Division GME Healthcare Symposium 2026

No abstract provided.

Ensemble Learning For Predicting Periapical Lesions From Dental Radiographs, Fang-Yuan Liao, Ming-Jyun Jian, Abdullah Sarini, Yulianto Jesica, Yen-Kun Lin, Hsun-Yu Huang

Journal of Dental Sciences

Background/purpose: Diagnosing periapical cysts and granulomas using periapical radiographs is challenging due to subtle radiographic differences. This study aimed to develop a machine learning–based diagnostic framework to improve lesion classification through ensemble learning and dentin standardization.

Materials and methods: Five models—Support Vector Classifier (SVC), Nu-SVC, K-Nearest Neighbors (KNN) and Decision Tree—were trained on 144 pre-treatment periapical radiographs (70 cysts and 74 granulomas). Dentin standardization normalized grayscale values to ensure feature consistency. A weighted soft voting strategy was employed to integrate predictions, with model weights derived from individual diagnostic performance. Model performance was evaluated via five-fold cross-validation. Statistical significance among models …

Spiritual And Religious Lay Community Support For Informal Caregivers Of Adults At The End Of Life: A Literature Review, Rachel Lenko

University Faculty Publications and Creative Works

• Informal caregivers of adults at the end of life often experience significant physical, psychological, and economic burden because of their caregiving and bereavement (Schulz et al., 2003; Skantharajah et al., 2022) 
• Prior evidence suggests that spirituality and/or religiosity contribute to positive religious coping and improved adjustment to bereavement (Damianakis et al., 2012; Stelzer et al., 2020) 
• Spiritual and religious communities often provide practical and social, in additional to spiritual/religious, support to their members 
• There is limited evidence describing practical and social support from spiritual/religious lay communities for informal caregivers of patients in the terminal phase of a disease

Exploring The Synergy Between Very Large Transformer And Lstm Models For Effective Medical Captioning From Videos To Text: The Impact Of Captioning In Healthcare, R. V. Aswiga, Moin Ahmed Zahir

Data Science Faculty Publications

In today’s rapidly evolving digital landscape, the demand for accurate and contextually relevant subtitles for image and video content, particularly in the medical domain, is increasingly critical. Despite the proliferation of visual data across various platforms, existing captioning systems often struggle due to variations in visual settings, complex temporal relationships, and nuanced semantics. Additionally, challenges such as limited datasets, privacy issues, and specialized annotation requirements make medical image captioning particularly difficult. To tackle these challenges, we investigate cutting-edge deep learning methodologies, specifically Transfer Learning and Transformer models, through a comparative analysis. Specifically, we focus on Transfer Learning through the MedVisionCapturer …

Training Set Augmentation And Biology-Aware Harmonization Improve Radiomic Models For Lung Cancer Prediction In Indeterminate Nodules, Claire Huchthausen, Menglin Shi, Gabriel De Sousa, James Larner, Einsley Janowski, Jonathan Colen, Krishni Wijesooriya

Data Science Faculty Publications

CT radiomics-based machine learning has potential to predict lung cancer in pulmonary nodules (PNs) earlier than standard-of-care methods. Low malignancy rates in early-development PNs and variable image acquisition hinder development of radiomic models for diagnosing these PNs. To address these challenges, we augmented training using later-development PNs and harmonized for acquisition effects. We examine early-development benign and malignant PNs (n = 106) below the sensitivity of standard-of-care diagnosis. Classifiers predicting malignancy performed near chance when trained on ComBat-harmonized radiomic features from only early-development PNs. We then augmented training with later-development benign and malignant PNs (n = 225). We evaluated whether …

Injectable Hydrogels For Bone Regeneration: Mechanical Reinforcement Strategies Using Nanoparticles And Nanofibers: Review Paper, Fariba Ganji, Morteza Mirzagoli, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Purpose: The growing demand for bone regeneration following severe injuries highlights the importance of scaffolds in bone tissue engineering (BTE). Injectable hydrogels have emerged as promising candidates because their properties closely mimic the native extracellular matrix (ECM). However, their limited mechanical strength and structural instability restrict their practical application. Approach: This review summarizes recent strategies for reinforcing in situ-forming injectable hydrogels to improve their mechanical performance for bone regeneration. Particular emphasis is placed on nanomaterial-based strategies, including the incorporation of nanoparticles and nanofibers, and their ability to enhance the physical properties of polymeric networks. Key Results: Evidence from …

A Painful Diffuse Rash, Bruce M. Lo, Melanie Shoemaker, Kiersten Potter, Katherine Schaffer

Department of Emergency Medicine Faculty Publications

[Patient presentation]

A 41-year-old male with no past medical history presented with 1 week of ulcers to the left side of his face, followed by several days of a painful rash to the trunk and back after a sexual encounter. The patient denies any fever or previous rash and any illicit drug use. Initial vital signs included a temperature of 97 °F, a heart rate of 89 beats per minute, and blood pressure of 135/79 mm Hg. Physical examination revealed a macular papular rash across his trunk and back (Fig 1) and facial ulcerations with eschar (Fig 2) at the …

Absolute Quantification And Identification Of Rna From Rna-Lipid Nanoparticles Using High Resolution Mass Spectrometry, Jason C. Funderburk, Yasir A. Alshehry, Matthew S. Halquist Phd, Sandro R.P. Da Rocha Phd

Graduate Research Posters

Background

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 …

Atrial Fibrillation Detection From At-Rest Ppg Signals Using An Sdof-Tf Method, Mamun Hasan, Zhili Hao

Mechanical & Aerospace Engineering Faculty Publications

At-rest PPG signals have been explored for detecting atrial fibrillation (AF), yet current signal-processing techniques do not achieve perfect accuracy even under low-motion artifact (MA) conditions. This study evaluates the effectiveness of a single-degree-of-freedom time–frequency (SDOF-TF) method in analyzing at-rest PPG signals for AF detection. The method leverages the influence of MA on the instant parameters of each harmonic, which is identified using an SDOF model in which the tissue–contact–sensor (TCS) stack is treated as an SDOF system. In this model, MA induces baseline drift and time-varying system parameters. The SDOF-TF method enables the quantification and removal of MA and …

Hungarian Validation Of The Pelvic Floor Distress Inventory - 20 (Pfdi-20) Questionnaire And The Pelvic Floor Impact Questionnaire - 7 (Pfiq - 7), Barbara Kozma, Bence Kozma, Peter Takacs, Dávid Rátonyi, Nelli Farkas, Attila G. Sipos, Balint Farkas

Department of Obstetrics & Gynecology Faculty Publications

Introduction and Hypotheses

Pelvic floor disorders (PFDs) affect women's quality of life through physical, psychological, and social domains. The Pelvic Floor Distress Inventory-20 (PFDI-20) and the Pelvic Floor Impact Questionnaire-7 (PFIQ-7) are validated tools for assessing symptom severity and quality of life impact. The current study aim to investigate the reliability and validity of the Hungarian versions of these questionnaires in women with PFD symptoms.

Methods

This validation study was carried out at the University of Debrecen among women with clinically confirmed pelvic floor disorders. The PFDI-20 and PFIQ-7 questionnaires were translated into Hungarian using independent native English speaker in …