Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Improving Usage Of Low-Dose Chest Ct For Lung Cancer Screening Amongst Tobacco Users That Fall Within Certain Criteria Per Uspstf Recommendations - A Quality Improvement Project, Karissa Charles, Evelyn Ogbomoh, Anthony Shadiack

South Atlantic Division GME Research Day 2025

No abstract provided.

Retrospective Comparison Of Emergency Department (Ed) Length Of Stay (Los) Between Marijuana And Alcohol Users, Paul Bomar, Jonathan Leggett, Lisa Persaud, Franklin Schaefer, Vanessa Knapp, Lauren Eisenberg, Austin Johnson

South Atlantic Division GME Research Day 2025

No abstract provided.

Wound Dehiscence, Risk Factors Presenting A Costly Complication, James Montgomery, Alyssa Mcmandon, Eleah Porter, Heather O'Field, Wesley Vosburg

South Atlantic Division GME Research Day 2025

No abstract provided.

Quality Outcomes For Older Adults Undergoing Elective Cholecystectomy And Colectomy In The United States: A Scoping Review From The Sages Qos Committee, Jeannie Kontos, Wesley Vosburg, H Lin, J Blancaflor, K Fay, K Park, J Stulberg

South Atlantic Division GME Research Day 2025

No abstract provided.

Factors Associated With Length Of Stay After Metabolic And Bariatric Surgery, James Montgomery, Rachel Daley, Margaret Rose, R Wesley Vosburg

South Atlantic Division GME Research Day 2025

No abstract provided.

Enhancing Patient Safety: The Role Of Interdisciplinary Teams In Reducing Blood Culture Contamination, Fady M. Awad, Austin Patrick-Eisenberg, Brian Watson, Mohamed Faris

South Atlantic Division GME Research Day 2025

No abstract provided.

Viral Vengeance: A Case Of Hiv Induced Myocarditis, Jacob Keesee, Brenden Pearce, Mohammed Faris

South Atlantic Division GME Research Day 2025

No abstract provided.

Differentiating Opioid Use Disorder From Healthy Controls Via Ml Analysis Of Rs-Fmri Networks, Ahmed Temtam, Megan A. Witherow, Liangsuo Ma, M. Shibly Sadique, F. Gerard Moeller, C. Kenneth, Dianne Wright, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Objectives/Goals: This work aims to identify functional brain networks that differentiate opioid use disorder (OUD) subjects from healthy controls (HC) using machine learning (ML) analysis of resting-state fMRI (rs-fMRI). We investigate the default mode network (DMN), salience network (SN), and executive control network (ECN), as well as demographic features. Methods/Study Population: This work uses high-resolution rs-fMRI data from a National Institute on Drug Abuse study (IRB #HM20023630) with 31 OUD and 45 HC subjects. We extract rs-fMRI blood oxygenation level-dependent (BOLD) features from the DMN, SN, and ECN. The Boruta ML algorithm identifies statistically significant features and brain activity mapping …

Protocol For Development And Validation Of An Early Intervention Device And Its Influence Using Structured Early Physiotherapy (Preemiestep) Intervention On Neuromotor Development In Preterm Infants, Indira D. B. Naidu Boddapati, Sivakumar Gopalakrishnan, Sonia Khurana, Jayashree Purkayastha, Bhaskar Bhatt, Bhamini Krishna Rao

Rehabilitation Sciences Faculty Publications

Early physiotherapy interventions for Moderate to Late Preterm (MLP) infants often lack continuity of care from hospital to home settings. This research aims to develop an Early Intervention (EI) device for home program and determine its influence using STructured Early Physiotherapy (Preemie STEP) intervention in MLP infants. For phase I, qualitative interviews will be conducted with healthcare professionals and parents, to understand user needs on developed prototype. Based on identified needs, an EI device will be developed using a human-centered design approach and iterative design process. In phase II, usability and validity of EI device will be …

Advanced Nanocomposite-Based Electrochemical Sensor For Ultra-Sensitive Dopamine Detection In Physiological Fluids, Megha Shinde, Gymama Slaughter

Center for Bioelectronics Publications

This study presents a novel point-of-care electrochemical sensor for dopamine (DA) detection, featuring a flexible laser-induced graphene (LIG) modified with a unique nanocomposite comprising Nb₄C₃T_x MXene, polypyrrole (PPy), and iron nanoparticles (FeNPs). The LIG-Nb₄C₃T_x MXene-PPy-FeNPs is characterized by scanning electron microscopy to confirm the successful surface modification. The electrochemical performance of the fabricated sensor via cyclic voltammetry showed significant electrochemical activity upon Nb₄C₃T_x MXene-PPy-FeNPs nanocomposite modification of the LIG surface with an increased peak anodic current (Ipa) from 43 μA to 104 μA. The sensor …

Electrochemical Detection Of Prostate Cancer—Associated Mirna-141 Using A Low-Cost Disposable Biosensor, Alexander Hunt, Gymama Slaughter

Center for Bioelectronics Publications

Prostate cancer is the second leading cause of cancer-related deaths among men in the United States. The early detection of aggressive forms is critical. Current diagnostic methods, including PSA testing and biopsies, are invasive and often yield false results. MicroRNA-141 (miRNA-141) has emerged as a promising non-invasive biomarker due to its elevated levels in the urine of patients with metastatic prostate cancer. Here, a low-cost, paper-based electrochemical biosensor for the sensitive detection of miRNA-141 in synthetic urine is reported. The device employs inkjet-printed gold electrodes on photopaper, functionalized with thiolated single-stranded DNA-141 capture probes for specific target recognition. The biosensor …

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 …

Molecular Imprinting And Nanomaterial Synergy For Lactate Detection, Christopher Animashaun, Gymama Slaughter

Center for Bioelectronics Publications

Molecularly imprinted polymer (MIP)-based electrochemical sensors have emerged as promising non-enzymatic platforms for the selective and stable detection of clinically and environmentally relevant biomarkers. This review provides a critical, comprehensive analysis of recent advances in MIP-based lactate sensing, with particular emphasis on hybrid systems that integrate conductive nanomaterials including gold and silver nanoparticles, laser-induced graphene, and reduced graphene oxide. These synergistic combinations leverage enhanced surface area, electrical conductivity, and molecular recognition to improve sensor sensitivity, selectivity, and long-term operational stability. Key fabrication strategies, such as electropolymerization, green nanomaterial synthesis, and surface imprinting, are critically examined for their roles in optimizing …

Electrochemical And Nanomaterial Based Strategies For Nonenzymatic Glucose Detection: A Review, Reagan Aviha, Gymama Slaughter

Center for Bioelectronics Publications

Electrochemical glucose sensing technologies have undergone significant evolution, with continual advancements aimed at improving sensitivity, selectivity, and user convenience. This review systematically explores the development of emerging nonenzymatic glucose sensor designs. Nonenzymatic sensors are critically evaluated for their ability to overcome enzymatic limitations, leveraging novel materials and catalytic mechanisms. Additionally, the emergence of smartphone-integrated glucose monitoring systems is highlighted as the fifth generation, representing a paradigm shift toward personalized, real-time healthcare management. Emphasis is placed on the strategies employed to reduce the working electrode potential and enhance analytical performance. Key analytical metrics and real-sample applicability are evaluated, and persistent challenges …

Gold Nanoparticle-Enhanced Molecularly Imprinted Polymer Electrode For Non-Enzymatic Lactate Sensing, Christopher Animashaun, Abdellatif Ait Lahcen, Gymama Slaughter

Center for Bioelectronics Publications

We are reporting the development of a high-performance, non-enzymatic electrochemical biosensor for selective lactate detection, integrating laser-induced graphene (LIG), gold nanoparticles (AuNPs), and a molecularly imprinted polymer (MIP) synthesized from poly(3,4-ethylenedioxythiophene) (PEDOT). The LIG electrode offers a highly porous, conductive scaffold, while electrodeposited AuNPs enhance catalytic activity and signal amplification. The PEDOT-based MIP layer, electropolymerized via cyclic voltammetry, imparts molecular specificity by creating lactate-specific binding sites. Cyclic voltammetry confirmed successful molecular imprinting and enhanced interfacial electron transfer. The resulting LIG/AuNPs/MIP biosensor demonstrated a wide linear detection range from 0.1 µM to 2500 µM, with a sensitivity of 22.42 µA/log(µM) and …

Artificial Intelligence In Cancer-Related Malnutrition And Cachexia: A Transformative Tool In Clinical Nutrition, Salvatore Carbone

EVMS School of Health Professions Faculty Publications

[Introduction] Malnutrition and cachexia are common complications in cancer patients, and they negatively influence prognosis, treatment efficacy, and tolerability as well as quality of life [[1], [2], [3]]. Accurately identifying and effectively managing malnutrition and cachexia in this population remains a clinical challenge. Conventional validated screening tools may lack the sensitivity and specificity required for early detection and personalized intervention in diverse cancer types and treatment settings [4,5]. Over the last decade, the use of artificial intelligence (AI), including machine learning (ML) and deep learning (DL) strategies, has shown promising results in clinical nutrition, with the potential to revolutionize nutritional …

Body Composition In Patients With Obesity-Related Heart Failure With Preserved Ejection Fraction: A Comparison Study, Hannah Salmons, Syed Imran Ahmed, Hayley E. Billingsley, Alex Reavey-Cantwell, Roshanak Markley, Michele Golino, Marco Giuseppe Del Buono, Juan Ignacio Damonte, Sebastian Pinel, R. Lee Franco, Antonio Abbate, Carrie P. Earthman, Salvatore Carbone

EVMS School of Health Professions Faculty Publications

Background

Appendicular lean mass index is a major determinant of cardiorespiratory fitness in patients with obesity-related heart failure with preserved ejection fraction (HFpEF). Moreover, appendicular lean mass index can be used to diagnose sarcopenia and sarcopenic obesity in this population. We aimed to validate the ability of segmental single-frequency bioelectrical impedance analysis (SF-BIA) to assess body composition compared with dual-energy x-ray absorptiometry (DXA) in patients with HFpEF and obesity, with a focus on appendicular lean mass index for its critical role in diagnosing sarcopenia and sarcopenic obesity.

Methods

We analyzed 62 euvolemic patients from a heart failure outpatient clinic with …

Discordance Between Profound Hyperprolactinemia And Hormone Immunostaining In A Pit1-Positive Pituitary Neuroendocrine Tumor. A Rare Case Report, Aneela Arif, Radwa Osman

Department of Medicine Faculty Publications

We present a rare case of a functioning macroprolactinoma with negative hormone immunohistochemistry (IHC) but positive PIT1 transcription factor staining. This case highlights the diagnostic value of transcription factor IHC when clinical and biochemical findings are discordant with hormone staining. An 18-year-old female with unremarkable medical history presented with high prolactin levels, galactorrhea, and amenorrhea for 6 months. She was not on any medications, and was not sexually active, or trying to conceive. Prolactin levels were markedly elevated (462, 1,067, and 1,282 ng/mL). MRI showed a 13×12×14 mm T2-hyperintense, slightly cystic pituitary macroadenoma with suprasellar extension and optic chiasm compression, …

Blood Culture Utilization: How Many Follow-Up Cultures Are Needed?, George Jones, Jennifer Hanrahan

Department of Medicine Faculty Publications

Background: Follow-up blood cultures (BCx) are ordered after an initial positive culture in many instances. The number of follow-up cultures needed is not clear. Obtaining unnecessary BCx may cause unintended consequences. The optimal balance between stewardship and patient safety warrants investigation. We sought to assess the frequency with which a third set is positive after a negative second BCx. Methods: We conducted a retrospective study of BCx submitted to the microbiology laboratory from 1/1/18-11/1/23. We included all patients ≥18 years who had at least two follow-up BCx drawn 24-72 hours after an initial positive culture. Data were collected from electronic …

Diverticulitis—New Evidence To Share With Patients, Nicholas B. D'Alessandro, Tarun Vippa, Edward C. Oldfield Iv, David A. Johnson

Department of Medicine Faculty Publications

Diverticulitis is one of the most common gastrointestinal causes of hospitalization in Western society. While previously characterized as a disease of older patients, new literature highlights an increasing incidence among the younger population. Over the past few decades, the understanding of etiology and management of diverticulitis has changed drastically. New data refute past beliefs while promoting other novel recommendations to mitigate incidence and subsequent complications. Data now confirms the safety and possible protective benefit of particulate food, while highlighting evidence-based approaches for the use of diagnostic imaging and antibiotics. We recognize modifiable and non-modifiable risk factors that are commonly seen …