Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

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 …

Pin-Plane Electrical Discharge Driven By A Mosfet Dc Current Source, Myles Perry, Sidmar Holoman, Daniel Wozniak, Shirshak Kumar Dhali

Electrical & Computer Engineering Faculty Publications

The generation of atmospheric pressure nonequilibrium plasma using electrical discharges is an active area of research due to its significance in a wide spectrum of applications including medicine, combustion, and manufacturing. In our attempt to create a helium plasma jet in a pin-plane discharge with a constant current source, we observed self-pulsating behavior. We present the results of the electrical, optical, and spectroscopic measurements carried out to characterize the discharge. The duration of the discharge is a few tens of nanoseconds, and the repetition rate is in the few tens of kHz. The effect of the gap distance and gas …

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 …

Beyond The Square Pulse: Waveform Shape, Eeg Correlates, And The Pursuit Of Natural Sensation In Tens, Jason Whitson

Honors Undergraduate Theses

This study investigates the relationship between electrical stimulus characteristics of shape and charge on evoked sensations and electroencephalogram (EEG) data during multi-waveform transcutaneous electrical nerve stimulation (TENS) of the median nerve. Neuromodulation methods have traditionally had little control over the location and quality of their associated evoked sensation (e.g., electric, vibration, touch). This experiment utilized five unique stimulus waveforms during TENS stimulation. EEG data were collected concurrently to provide an introductory objective measure of the neural responses underlying these sensory changes. Eleven participants completed three tasks (thresholding, super-threshold stimulation, two-alternative forced choice) using a two-electrode TENS approach. Stimulus waveforms were …

A Chicken Model For Non-Invasive Diagnosis Of Infant Developmental Dysplasia Of The Hip (Ddh) Using Acoustic Transmission Measurements, Aliza Shah

Honors Undergraduate Theses

Developmental dysplasia of the hip (DDH) is a condition characterized by abnormal development and stability of the hip joint. In a healthy infant, the femoral head (ball) fits securely within the acetabulum (socket of the pelvis), allowing for proper joint function. In DDH, the relationship is disrupted, ranging from mild acetabular dysplasia to partial (subluxation) or complete dislocation of the femoral head. This condition represents a range of structural abnormalities that develop during early growth. The integrity of the hip joint is essential for physical mobility, and disruption of this structure can lead to significant functional impairment. DDH may result …

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 …

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 …

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 …

Use Of Transcranial Magnetic Stimulation As An Assessment Of Corticospinal Excitability In Individuals With Persistent Postural Perceptual Dizziness, Elizabeth Cornforth

Theses and Dissertations

Persistent postural-perceptual dizziness (PPPD) is a common, disabling, chronic vestibular disorder whereby individuals experience symptoms of non-vertiginous dizziness, unsteadiness, and sway or rocking that are present most hours of the day, most days of the week. Individuals with PPPD have been noted to have an increased burden of dizziness and reduced quality of life compared to other dizziness diagnoses. The cause of PPPD is not well understood which can lead to years of diagnostic testing, failed therapies, and poor symptom management. It is important to understand PPPD pathophysiology so that optimal treatment interventions can be developed for this disorder to …

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 …

The Importance Of Hippotherapy: Improving The Lives Of The Disabled Through Alternative Therapy, Jennifer N. Stapleton

Undergraduate Research Posters

For centuries, horses have been suggested as “healers” and “helpers,” although it wasn’t until the 1900s that horseback riding was scientifically proven as a treatment and rehabilitation method. The exploitation of hippotherapy, the implementation of the three-dimensional pelvic movement stimulated by the oscillation and gait of the horse to combat symptoms of diseases and disorders, has since become a flourishing field of study, but one that is often overlooked. Benefits of hippotherapy often include increased motor neuron function, facilitating proper anatomical alignment, and reducing spasticity. This research analyzes the diverse and dynamic nature of treatment that hippotherapy facilitates, exploring the …

A Mass Cytometry-Based Blood Cell Phenotyping Workflow Enabling Inclusion Of Resource-Limited And Rural Sites In Immune System Studies, Natalie J. Smith, Michael Cohen, Lauren Tracey, Julie Alipaz, Christina Loh, David King, Neha Pulyani, Rebecca Auzins, Elin Gray, Sandra Taylor, Rajat Rai, Steven Kao, Barbara Fazekas De St Groth, Helen M. Mcguire

Research outputs 2022 to 2026

Insight into disease detection and treatment through comprehensive immune phenotyping relies on the generation of high-quality data. However, the execution of robust immune monitoring in clinical trials by flow cytometry is complex due to logistical challenges in sample preparation and reagent stability. These challenges are exacerbated when considering remote and rural communities in Australia, which are burdened by both an increased prevalence and a worse prognosis of many chronic and infectious pathologies. This is not unique to the Australian context as globally remote and rural communities are underrepresented in biomedical research studies, contributing to persistent health inequities. To address these …

Thermoregulation And Associated Disorders: 3pm-Guided Holistic Approach Bridging Innovative And Traditional Chinese Medicine, Zhuo Wang, Liu, Yueqiang Xu, Weijie Cao, Youxin Wang, Haifeng Hou, Xiuhua Guo, Olga Golubnitschaja, Wei Wang, Yuguang Du, Suboptimal Health Study Consortium, European Association For Predictive, Preventive, Personalised Medicine

Research outputs 2022 to 2026

Accurately performed thermoregulation is life-important for the human body. Therefore, a relatively narrow temperature range of 36.5–37 °C, which all our biochemical reactions are adapted to, is rigorously kept by the body allowing for the most effective kinetics of all physiological processes. In contrast, feeling inappropriately cold or too hot in the environment with comfortable temperature ranges are symptoms of an altered or even disordered thermoregulation described for a number of syndromes as well as patient cohorts. The rationale of the paper is to contribute to the paradigm shift from reactive to proactive healthcare considering thermoregulation deficits as an important …

Advances In Survival Analyses: Machine Learning Methods And Model Comparison, Ryan Gately, Dharshana Sabanayagam, Wai H. Lim, Lin Zhu, Farzaneh Boroumand, Shuvo Bakar, Armando Teixeira-Pinto, Germaine Wong

Research outputs 2022 to 2026

This is the second article in a 2-part series on survival analysis. In part 1, we discussed the core concepts and traditional methods used in survival analysis. Part 2 explores the novel approaches to predict survival outcomes and evaluate model performance. To facilitate hands-on learning and practical implementation, the R code used in these analyses is provided in the supplementary materials, along with instructions to help readers apply these methods to their data.

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 …