Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Smart Sequential Spectrophotometric Analysis Of Fluconazole And Its Two Toxic Official Impurities Having Superimposed Spectra; Greenness, Whiteness, Blueness Assessment And In Silico Toxicity Profiling, Ekram Hany Mohamed, Christine Magued Elmaraghy, Mai Saeed

Pharmacy

Owing to the health hazards of impurities presence in active pharmaceutical ingredients, even in minute amount. A smart green sustainable spectrophotometric method was developed for simultaneous determination of Fluconazole (FLU) along with its official impurities B and C. The novel sequential dual amplitude difference (SDAD) technique succeeded in resolving the severe overlapping between the three compounds and restoring their respective mother spectrum. According to international Council of Harmonization (ICH) guidelines, the developed method is accurate, precise, and selective with linearity range (50–500 µg/mL) for FLU, (0.5–6 µg/mL) for impurity B and (0.05–0.6) for impurity C. The method was successfully applied …

Medicare To Veterans Affairs Cost Shifting-A Challenging Conundrum, Kenneth W. Kizer, Said A. Ibrahim

JeffMD Academic Affairs

No abstract provided.

Clinical Utility Of Opencap Motion Analysis In Lower Limb Prosthesis Users, Sarahi Fernandez Leon

Honors Program Theses and Research Projects

The use of prosthetics has gradually increased due to various diseases, and it is estimated that 35-40 million people are prosthetic/orthotic users, with the number estimated to increase to two billion by 2050. Mobility has been determined to be a strong predictor of quality of life. There are various ways to measure mobility and predict outcomes in lower-limb amputees (LLA), such as self-report and performance-based measures. However, these come with many limitations, showcasing the need for quantitative measures of gait parameters to allow for better development of prosthetic components. Motion analysis tools are expensive and time consuming, but an inexpensive, …

Robotics And A.I In Oncological Surgery, Ian Ngo

Nursing | Student Research Posters

Throughout the decades, advancements in

technology have been surpassing limits that

were thought impossible. Every day these

breakthroughs are improving modern

surgery whether it be enhancing precision

on surgical sites, increasing accuracy of

procedure, or reducing recovery rates for

patients. Among the newly increasing

innovations, the implementation of robotics

systems and artificial intelligence (AI) into

the surgical field has emerged into

becoming a transformative force, especially

within a context as delicate as tumor removal.

This study explores the numerous benefits

of incorporating robotics and artificial

intelligence (AI) in tumor removal surgeries.

We investigate how these innovations

improve surgical accuracy, reduce …

Evolving Treatment Strategies For Systemic Lupus Erythematosus In Clinical Practice: A Narrative Review, Alan D. Kaye, Joseph P. Tassin, William C. Upshaw, Chandni R. Patel, Alison M. Hawkins, Caroline R. Burroughs, Kristin Nicole Bembenick, Chizoba N. Mosieri, Shahab Ahmadzadeh, Adam M. Kaye, Sahar Shekoohi, Giustino Varrassi

School of Dentistry Faculty Publications

Systemic lupus erythematosus (SLE) is an autoimmune disease that more commonly affects African American people, although it is seen in people of all racial backgrounds. This condition is characterized by a dysregulated immune response resulting in widespread inflammation. Clinical manifestations caused by this inflammation include arthritis, anemia, cutaneous rashes, pleuritis, and nephritis. Treatment for SLE aims to reduce disease activity and maintain a state of low inflammation. In this regard, numerous treatments are used, such as hydroxychloroquine, glucocorticoids, and non-glucocorticoid immunosuppressants such as methotrexate. Related to these drugs resulting in significant adverse effects and being ineffective in controlling SLE symptoms …

Targeted Maternal Chagas Disease Screening Among Individuals Born In A Chagas-Endemic Country., Alvaro Proaño, Neil C Shah, Sneider A Gutierrez Guarnizo, Monica Miranda-Schaeubinger, Michael Z Levy, Robert H Gilman, Dustin D Flannery

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Chagas disease is a neglected tropical disease caused by the parasite Trypanosoma cruzi that affects 6 million people worldwide. In the United States, Chagas is estimated to affect 43 000 women of reproductive age. Pregnant persons with Chagas are at risk for congenital transmission to the newborn, which accounts for nearly a quarter of all new cases. In 2022, a US multidisciplinary expert working group4 developed recommendations for increased clinician-directed screening for Chagas. They concluded that women of reproductive age who were born in endemic countries should be tested due to vertical transmission risk. In 2024, Clark and Bern outlined …

Antibiotics For Culture-Negative Neonatal Early-Onset Sepsis: Measuring The Unmeasurable, Dustin D Flannery, Matthew B Green

Rowan-Virtua School of Osteopathic Medicine Departmental Research

No abstract provided.

A Latent Class Assessment Of Healthcare Access Factors And Disparities In Breast Cancer Care Timeliness, Matthew Dunn, Didong Li, Marc Emerson, Caroline Thompson, Hazel Nichols, Sarah Van Alsten, Mya Roberson, Stephanie Wheeler, Lisa Carey, Terry Hyslop, Jennifer Elston Lafata, Melissa Troester

Kimmel Cancer Center Faculty Papers

BACKGROUND: Delays in breast cancer diagnosis and treatment lead to worse survival and quality of life. Racial disparities in care timeliness have been reported, but few studies have examined access at multiple points along the care continuum (diagnosis, treatment initiation, treatment duration, and genomic testing).

METHODS AND FINDINGS: The Carolina Breast Cancer Study (CBCS) Phase 3 is a population-based, case-only cohort (n = 2,998, 50% black) of patients with invasive breast cancer diagnoses (2008 to 2013). We used latent class analysis (LCA) to group participants based on patterns of factors within 3 separate domains: socioeconomic status ("SES"), "care barriers," and …

Machine Learning-Guided Differential Gene Expression Analysis Identifies A Highly-Connected Seven-Gene Cluster In Triple-Negative Breast Cancer, Hany Ghazal, El-Sayed A. El-Absawy, Waleed Ead, Mohamed E. Hasan

BioMedicine

Background: One of the most challenging cancers is triple-negative breast cancer, which is subdivided into many molecular subtypes. Due to the high degree of heterogeneity, the role of precision medicine remains challenging. With the use of machine learning (ML)-guided gene selection, the differential gene expression analysis can be optimized, and eventually, the process of precision medicine can see great advancement through biomarker discovery.

Purpose: Enhancing precision medicine in the oncology field by identification of the most representative differentially-expressed genes to be used as biomarkers or as novel drug targets.

Methods: By utilizing data from the Gene Expression Omnibus (GEO) repository …

Re: Proteomic Exploration Of Potential Blood Biomarkers In Haemophilic Arthropathy, Quang D La, David F Lo, Don D Shamilov

Rowan-Virtua School of Osteopathic Medicine Departmental Research

We wish to convey our reflections on the scholarly article titled “Proteomic exploration of potential blood biomarkers in haemophilic arthropathy” [1]. This investigation elucidates significant results concerning the plasma proteome of individuals afflicted with hemophilic arthropathy (HA) across a spectrum of severities, accentuating pivotal variations in protein expression correlated with disease severity and emphasizing the intricate nature of HA pathophysiology.

Twitchview(C) Monitor Use For Quantitative Neuromuscular Monitoring: An Objective Structured Clinical Evaluation, Brady Brian, Lovel Bruney

Doctoral Projects

Neuromuscular paralysis is an integral aspect of anesthesia. Muscle relaxation is implemented to provide a suitable surgical environment, aid in intubation, and enhance respiratory compliance (Cook & Simons, 2022). Neuromuscular monitoring is often used for patients undergoing general anesthesia. Proper neuromuscular monitoring is essential when managing a surgical patient undergoing general anesthesia. Anesthesia providers are responsible for knowing the theory behind neuromuscular monitoring and the appropriate execution of placement, monitoring, and interpretation of monitoring devices. Quantitative neuromuscular monitoring is a newer technology that can provide definitive numerical data regarding neuromuscular blockade. Implementing the quantitative neuromuscular monitor can potentially reduce the …

A Clinician’S Guide To Pediatric And Adolescent Alopecia Areata Treatments, Heli A. Patel, Rishab R. Revankar, Jenna E. Koblinski, Benjamin Ungar, Emma Guttman-Yassky, Jamie B. Mackelfresh, Dirk Elston, Peter Lio

Student Papers, Posters & Projects

Background: Available treatment options for pediatric alopecia areata are limited and may even exacerbate the physical and psychosocial burden. Objective: This article aimed to provide a treatment classification system and counseling recommendations. Recommendations: Topical corticosteroids are appropriate for initial treatment due to their ease of use and safety. Topical minoxidil and dithranol are often used as adjunctive treatments based on mixed data. Intralesional corticosteroids are effective for localized disease, but injections may be challenging in children. Contact immunotherapy, systemic corticosteroids, and immunosuppressive agents such as topical and oral Janus kinase (JAK) inhibitors, dupilumab, and low-dose methotrexate demonstrate varying effectiveness, adverse …

Intelligent Health Monitoring Systems Via Flexible Hybrid Electronics And Machine Learning, Masoud Panahi

Dissertations

Advanced data analytics approaches, such as artificial intelligence (AI), are increasingly being integrated into all aspects of patient care. This integration is paving the way for minimally invasive or non-invasive treatment modalities. By combining recent advancements in fabrication technology and computing ingenuity, wearable devices now enable continuous health monitoring and provide data for AI-driven analysis. These intelligent devices seamlessly integrate with the Internet of Things (IoT), enabling remote or “at-home” patient monitoring.

This dissertation study investigates the integration of recent advancements in flexible hybrid electronics (FHE) and machine learning (ML) to develop intelligent health monitoring systems. The developed FHE-based health …

Understanding The Perceptions Of Technology In Homes For Aging In Place, Jinelle Abugan, Amy Lyons-Brown Ms, Otd, Otr/L, Molly Wuebker Otd, Otr/L, Actcp

Fall 2024 OTD Capstone Symposium

The purpose of this study is to understand the thoughts and experiences of technology in homes and the use of technology-based home modifications to help individuals with participation and performance in daily activities. The education of perceptions of culture in homes will be supported by faculty, OTs, professional designers, about the need to explore culture in technology for home modifications aging in place.

A New Label Free Spiral Sensor Using Impedance Spectroscopy To Characterize Hepatocellular Carcinoma In Tissue And Serum Samples, Reda Abdelbaset, Sherif M. Shawky, Mohammed A.A. Abdullah, Omar E. Morsy, Yahia A. Yahia, Yehya H. Ghallab, Marwa Matboli, Yehea Ismail

Faculty Journal Articles

Hepatocellular carcinoma (HCC) stands as the most prevalent form of primary liver cancer, predominantly affecting patients with chronic liver diseases such as hepatitis B or C-induced cirrhosis. Diagnosis typically involves blood tests (assessing liver functions and HCC biomarkers), imaging procedures such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), and liver biopsies requiring the removal of liver tissue for laboratory analysis. However, these diagnostic methods either entail lengthy lab processes, require expensive imaging equipment, or involve invasive techniques like liver biopsies. Hence, there exists a crucial need for rapid, cost-effective, and noninvasive techniques to characterize HCC, whether in serum …

Characteristics Of High-Risk Bipolar Bone Loss Lesions Using 3-Dimensional Imaging, Petar Golijanin, Justin Arner, Claire Ryan, Qais Zai, Liam Peebles, Annalise Peebles, Phob Ganokroj, Ryan Whalen, Stephanie Eble, Danielle Rider, Srdjan Ninković, Matthew Provencher

Department of Orthopaedic Surgery Faculty Papers

BACKGROUND: The concept of on-track versus off-track bone lesions in glenohumeral instability continues to evolve. Although much has been ascertained from an original biomechanical model, bony pathological changes, especially on 3-dimensional (3D) imaging, have not been fully evaluated.

PURPOSE: To compare the differences in on-track versus off-track lesions to characterize glenoid and humeral head bone defects using 3D modeling software.

STUDY DESIGN: Cross-sectional study; Level of evidence, 3.

METHODS:A consecutive cohort of 75 patients with recurrent anterior instability, with evidence of Hill-Sachs lesions (HSLs) and
glenoid bone loss (GBL) and a mean age of 27.1 years (range, 18-48 years), were …

Utilization Of Quantitative Monitoring To Promptly Detect And Reduce The Occurrence Of Residual Paralysis In The Post-Anesthesia Care Unit, Kathryn Elizabeth Nokes, Erin Moran Travis

Doctoral Projects

Objective: To evaluate the effectiveness of an educational workshop using an Objective Structured Clinical Examination (OSCE) on quantitative neuromuscular monitoring. The goal was to improve the knowledge and skills among certified registered nurse anesthetists (CRNAs) and student registered nurse anesthetists (SRNAs) in identifying residual paralysis. The specific aim was to determine the effectiveness of quantitative monitoring in the Post Anesthesia Care Unit (PACU).

Background: Residual paralysis following the administration of neuromuscular blocking drugs (NMBDs) is a significant postoperative complication. Neuromuscular blocking drugs (NMBD) facilitate airway management and manipulation of surgical fields. Quantitative monitoring can be crucial in early detection and …

What Is The Evidence? Updates In The Use Of Antenatal Corticosteroids For Patients At Risk Of Preterm Birth, Moti Gulersen, Cynthia Gyamfi-Bannerman

Department of Obstetrics and Gynecology Faculty Papers

Antenatal corticosteroids have long been considered one of the most important antenatal therapies available for pregnant patients at risk of preterm birth based on the associated reduction of neonatal morbidity and mortality following their administration. However, despite decades of research since their incorporation into routine clinical practice, a number of key questions related to antenatal corticosteroid use remain. These include evaluating the impact of antenatal corticosteroids at gestational ages outside of the previously recommended window of 24 0/7–33 6/7 weeks of gestation, determining factors associated with optimal steroid timing in order to reduce unnecessary exposure, alterations in its dosing regimen, …

Preventing Depression In Grandparents Raising Grandchildren: An Educational Video Series, Sabrina Casares

Student Capstone Papers

This paper presents a doctoral capstone project that created and implemented a self-help occupation-based educational video series to prevent and manage depression among grandparent caregivers. It consists of a literature review regarding the impact of depression on grandparent caregivers, the population’s barriers and statistics relating to the correlation of developing depression as a grandparent caregiver. It includes the process to create the video series including review of the literature and the development process. Texas Grandparents Raising Grandchildren (TXGRG) is a non-profit organization dedicated to providing resources and support to empower and advocate for grandparent caregivers. Problem: There is a lack …

Exercise Therapy Rescues Skeletal Muscle Dysfunction And Exercise Intolerance In Cardiometabolic Hfpef, Heather Quiriarte, Robert C. Noland, James E. Stampley, Gregory Davis, Zhen Li, Eunhan Cho, Youyoung Kim, Jake Doiron, Guillaume Spielmann, Sujoy Ghosh, Sanjiv J. Shah, Brian A. Irving, David J. Lefer, Timothy D. Allerton

School of Graduate Studies Faculty Publications

Exercise intolerance, a hallmark of heart failure with preserved ejection fraction (HFpEF) exacerbated by obesity, involves unclear mechanisms related to skeletal muscle metabolism. In a “2-hit” model of HFpEF, we investigated the ability of exercise therapy (voluntary wheel running) to reverse skeletal muscle dysfunction and exercise intolerance. Using state-of-the-art metabolic cages and a multiomic approach, we demonstrate exercise can rescue dysfunctional skeletal muscle lipid and branched-chain amino acid oxidation and restore exercise capacity in mice with cardiometabolic HFpEF. These results underscore the importance of skeletal muscle metabolism to improve exercise intolerance in HFpEF.