Biomedical Engineering and Bioengineering Commons^™

Naturify 2300, Yarina Yiwei Dai

Masters Theses

In my art practice, I explore the interplay between human desires to manipulate and anthropomorphize nature, as seen in the technological augmentation of plants and living entities. This investigation delves into how this intersection, alongside empathy towards these creations, contributes to fears of uncontrollability and the risks of addiction and excessive dependence on technology.

Bioengineering and genetic modification have cultivated unprecedented developments, allowing humans to manipulate the fundamental building blocks of life. My research speculates on this technology further, modifying the genetic code of organisms and creating bioengineered wearable entities with enhanced traits or entirely new functionalities. The primary objective …

Diffuse Correlation Spectroscopy Measures Of Cerebral Blood Flow During Graded Hypoxia In Neonatal Piglets, Danielle Shoshany, Shadi Malaeb, Randolph Sinahon, Mert Deniz Polat, Meltem Izzetoglu, Patricia A. Shewokis, Kurtulus Izzetoglu

St. Chris Research Day

No abstract provided.

Long-Term Evolution Of Signs And Symptoms In Contact Lens Wearers, Laura Valencia-Nieto, Alberto López-De La Rosa, Alberto López-Miguel, María J. González-García

Ciencia y Tecnología para la Salud Visual y Ocular

El propósito del estudio fue describir la evolución de las adaptaciones de los lentes de contacto (LC) durante un largo periodo de tiempo, y determinar los factores responsables de los cambios en las adaptaciones. Se recogieron datos (tipo de LC, tiempo de uso, agudeza visual, síntomas y signos) de los usuarios de LC que acudieron a una consulta española entre 2010 y 2020. El perfil de los sujetos fue comparado entre 2010 y 2020. Las características de las LC se compararon entre los tipos, reemplazos y diseños de las LC. Finalmente, se evaluaron los factores predisponentes al cambio de LC. …

Modeling Synergistic Effects Of Integrin And Tgf-Beta Signaling In Epithelial Mesenchymal Transition, Prerak Thakkar

Biology and Medicine Through Mathematics Conference

No abstract provided.

Locally Injectable Peptide Hydrogel For Conversion Of Temozolomide And Codelivery Of Sirna In Glioblastoma Multiforme Treatment, Megan Pitz

All Dissertations

Traditional treatment methods for glioblastoma multiforme (GBM) are largely unsuccessful, with a 5-year survival rate of 5.6%. Temozolomide (TMZ), the only chemotherapy FDA-approved for GBM treatment, is a hydrophobic prodrug that is stable in an acidic pH and begins converting to its active form at a physiological pH of 7.4. However, complete conversion of TMZ is observed only at a higher pH, and only about 30% of administered TMZ reaches the central nervous system. Therefore, there is a need for new treatment methods that maximize TMZ delivery to and efficacy at the tumor site. Self-assembling peptides are a unique class …

Mathematical Modeling For Dental Decay Prevention In Children And Adolescents, Mahdiyeh Soltaninejad

Dissertations

The high prevalence of dental caries among children and adolescents, especially those from lower socio-economic backgrounds, is a significant nationwide health concern. Early prevention, such as dental sealants and fluoride varnish (FV), is essential, but access to this care remains limited and disparate. In this research, a national dataset is utilized to assess sealants' reach and effectiveness in preventing tooth decay, particularly focusing on 2nd molars that emerge during early adolescence, a current gap in the knowledge base. FV is recommended to be delivered during medical well-child visits to children who are not seeing a dentist. Challenges and facilitators in …

Advancing Brain Tumor Segmentation With Spectral–Spatial Graph Neural Networks, Sina Mohammadi, Mohamed Allali

Engineering Faculty Articles and Research

In the field of brain tumor segmentation, accurately capturing the complexities of tumor sub-regions poses significant challenges. Traditional segmentation methods usually fail to accurately segment tumor subregions. This research introduces a novel solution employing Graph Neural Networks (GNNs), enriched with spectral and spatial insight. In the supervoxel creation phase, we explored methods like VCCS, SLIC, Watershed, Meanshift, and Felzenszwalb–Huttenlocher, evaluating their performance based on homogeneity, moment of inertia, and uniformity in shape and size. After creating supervoxels, we represented 3D MRI images as a graph structure. In this study, we combined Spatial and Spectral GNNs to capture both local and …

Tunable Dual-Phase Dual-Drug Delivery System Using A Plga Microparticle/Pva Hydrogel Composite, Timothy John Eck

Theses and Dissertations

Current drug-eluting coatings have demonstrated controlled long-term, sustained release but have only tried to mitigate short-term burst release as a negative side effect. For applications like wound healing, there is a need for a drug-eluting coating which is adjustable in both short- and long-term release, independent of each other. We present a tunable dual-phase dual-drug delivery coating composed of drug-loaded polymer microparticles and drug-loaded hydrogel which can control short term and long term release individually in this study. This coating was created using lidocaine and dexamethasone encapsulated in poly(D,L-lactide-co-glycolide) particles combined with lidocaine- and dexamethasone-loaded poly(vinyl alcohol) hydrogel. Hydrogel drug …

Redesign Of Robotic Walking Training Device To Involve Zero Gravity Capabilities And Daily Activities, Chad Ballard

Mechanical Engineering Theses

Many patients struggle with disabilities that hinder their ability to walk. This project aimed to create a leg assembly capable of variable gravity so that it could be combined with a Robotic Walking Training Device, and lead to better rehabilitation options for patients. This was accomplished by deriving equations of joint torque, creating circuit diagrams for Arduino systems, modeling leg assemblies in CAD, and finally combining it to create a working small-scale prototype. The result of the prototype testing showed accurate movement on each joint, especially the ankle and knee segments, to create virtual zero gravity. In addition to this, …

Oral Administration Of Ph-Responsive Polymeric Nanoparticles Based On Zein And Their Therapeutic Potential On Cancer., Bruno Alejandro Valades-Aguilar, José Raúl Rangel-López, Jennifer Citlally Leos-Rivera, Moisés Armides Franco-Molina, María Cristina Rodríguez-Padilla, Diana Ginette Zárate-Triviño

Research Symposium

Background: Zein is a water-insoluble protein extracted from the endosperm of corn seeds, this polymer is an attractive matrix to encapsulate hydrophilic compounds because of its high proportion of hydrophobic amino acids, making it a potential smart delivery material for several treatments in the biopharmaceutical industry. nanoparticles have been used as drug delivery systems for the improvement of oral bioavailability; however, the strategies of nanoparticle obtention need the addition of stabilizers. in this study, a modified method to obtain zein nanoparticles was developed.

Methods: Zein nanoparticles (ZNps) were made by a thermal treatment and precipitated into ovalbumin at a ratio …

La1-Xsrxcoo3 Perovskite Nanomaterial: Synthesis, Characterization, And Its Biomedical Application, Adhira Tippur, Anyet Shohag, Luke Franco, Ahmed Touhami, Swati Mohan, Mohammed Uddin

Research Symposium

Early cancer detection is paramount for effective treatment and potential cures. This research explores the application of perovskite materials, specifically Sr2+-doped Lanthanum Cobaltite (La1-xSrxCoO3) nanomaterials, in cancer detection, with a focus on rats as an experimental model. The ferroelectric nature of these materials, synthesized through a combination of sol-gel and molten-salt processes, was examined at varying Sr2+ doping levels (1-20 wt%). Rigorous characterization, employing X-ray diffraction and scanning electron microscopy, confirmed the uniform morphology of nano cubes, laying the foundation for subsequent investigations. The magnetic properties of the perovskite nanoparticles were probed, suggesting their potential as a diagnostic tool for …

Emotion Recognition As A Novel Indicator For Assessing Brain Health: A Machine Learning Approach, Nayarah Shabir, Parveen Lehana

Research Symposium

Background: Emotion is being referred to as a person’s mental state, since it relates to their ideas, feelings, and actions. There is a lot of evidence that health affects the emotion. Therefore, the nature of emotions ought to reveal the health of a person. The emotions are represented by facial expressions controlled by muscular motor actions. Brain health may affect the working of the muscles leading to the emotional changes extracted from the facial images.

Methods: A dataset of facial images annotated with matching emotion labels is the first step in using convolutional neural networks (CNNs) for facial …

Selective Targeting Of Microglia By Quantum Dots And Green Synthesis Of Metal Organic Biohybrids; Applications In Dynamic Cell And Assay Systems, Navya Uppu

Doctoral Dissertations

Neurological disorders are the leading cause of physical and cognitive disability across the globe, currently affecting approximately 15% of the worldwide population. Part of the glioma microenvironment are microglia, resident immune cells of the CNS that were thought to be involved in the pathogenesis of diverse neurodegenerative diseases. Though it remains uncertain what triggers microglial activation in these disorders, targeting and tracking microglial functions using nanotools like Quantum Dots (QDs) could help us elucidate them in such neurological diseases. This research focuses on the comparative study of different QDs formulations and their selective uptake by brain microglia in primary cultures …

Interpatient Differences In Neural Recruitment Patterns During Pudendal Nerve Stimulation – A Computational Investigation, Amolak S. Jhand, Luis C. Ruiz, Nystha Baishya, Ehsan Mirzakhalili, Gaurang Shah, Priyanka Gupta, Tim M. Bruns, Scott F. Lempka

Medical Student Research Symposium

Bladder dysfunction impairs the quality of life for millions of individuals around the world. Common causes of bladder dysfunction include aging, trauma, and neurological disorders. Due to inadequacies in conventional treatments, neuromodulation therapies to address bladder dysfunction, such as sacral nerve stimulation, have emerged. However, patient needs still remain unmet. Pudendal nerve stimulation (PNS) has recently gained clinical interest as a promising treatment for bladder dysfunction. While PNS has been extensively investigated in preclinical settings, there is a gap in our understanding of the mechanisms of action and efficacy of PNS as limited studies of PNS have been performed on …

Assisted Delivery Device, Rachel Rowe, Madeliene Mumford, Jenna Eissmann, Brittany Trinh

Biomedical Engineering

Current devices used to assist in complicated births present serious risks to both the mother and the fetus, which has caused a decline in the use of these devices over the last decade. This senior project team has proposed an alternative device that interfaces with the infant’s shoulders that would decrease these risks and contribute to the decrease of unnecessary c-sections due to device inadequacy. This Statement of Work includes research on the downfalls of current devices, existing patents, customer requirements, engineering specifications, and a design plan through December of this year. The next phase of this project will include …

The Development And Testing Of A Gyroscope-Based Neck Strengthening Rehabilitation Device, Nicole D. Devos

Electronic Thesis and Dissertation Repository

Neck pain can be debilitating, and is experienced by the majority of people at some point over the course of their life. Resistance training has been shown to have significant improvement in pain or disability for patients. There are few options available for telerehabilitation, and the use of gyroscope stabilizers is proposed for this use. A biomechanics model of a head--neck--gyroscope system was created. In order to also model the dynamics of such a system, this work proposes a blended method using the Denavit--Hartenberg (DH) convention, popular in the field of robotics, with the Lagrangian mechanics approach to analyze an …

Synthesis And Photopatterning Of Synthetic Thiol-Norbornene Hydrogels, Umu S. Jalloh, Arielle Gsell, Kirstene Gultian, James Macaulay, Abigail Madden, Jillian Smith, Luke Siri, Sebastian Vega

Faculty Scholarship for the Rowan-Virtua School of Translational Biomedical Engineering & Sciences

Hydrogels are a class of soft biomaterials and the material of choice for a myriad of biomedical applications due to their biocompatibility and highly tunable mechanical and biochemical properties. Specifically, light-mediated thiol-norbornene click reactions between norbornene-modified macromers and di-thiolated crosslinkers can be used to form base hydrogels amenable to spatial biochemical modifications via subsequent light reactions between pendant norbornenes in the hydrogel network and thiolated peptides. Macromers derived from natural sources (e.g., hyaluronic acid, gelatin, alginate) can cause off-target cell signaling, and this has motivated the use of synthetic macromers such as poly(ethylene glycol) (PEG). In this study, commercially available …

Modified Zero-Gravity Chair In The Management Of Pain And Anxiety With Emphasis On Pre And Post Anesthesia For Surgical Procedures, Alexander Tisdale, Kinsley Batson, Zachary Jamous, Isabella Termini, Kyle Mooday, Matt Cohn, Jackson Justice

Annual Research Symposium

The purpose of this research is the integration of a zero-gravity chair with planar vibration as a non-pharmaceutical approach to preoperative anxiety and postoperative pain management. The treatment plan involves preoperative familiarization with the chair's vibrational patterns and postoperative use for pain relief. Integration of this approach holds promise in reshaping postoperative care paradigms, advocating for personalized, holistic interventions to enhance patient well-being and mitigate opioid-related risks.

Mri Image Regression Cnn For Bone Marrow Lesion Volume Prediction, Kevin Yanagisawa

Theses and Dissertations

Bone marrow lesions (BMLs), occurs from fluid build up in the soft tissues inside your bone. This can be seen on magnetic resonance imaging (MRI) scans and is characterized by excess water signals in the bone marrow space. This disease is commonly caused by osteoarthritis (OA), a degenerative join disease where tissues within the joint breakdown over time [1]. These BMLs are an emerging target for OA, as they are commonly related to pain and worsening of the diseased area until surgical intervention is required [2]–[4]. In order to assess the BMLs, MRIs were utilized as input into a regression …

Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon

Physical Therapy Faculty Articles and Research

With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older adults, an early diagnosis tool is crucial to prevent future falls. However, during the early stage of diagnosis, there is often limited or no labeled data (expert-confirmed diagnostic information) available in the target domain (new cohort) to determine the proper treatment for older adults. Instead, there are multiple related but non-identical domain data with labels from the existing cohort or different institutions. Integrating different …

No Difference In Pullout Strength Between A Bio-Inductive Implant And A Semitendinosus Tendon Graft In A Biomechanical Study Of Medial Patellofemoral Ligament Repair Augmentation, Austin Wetzler, Sean Mcmillan, Erik Brewer, Aakash Patel, Samuel Handy, Merrick Wetzler

Faculty Scholarship for the Rowan-Virtua School of Translational Biomedical Engineering & Sciences

Purpose: To compare the pullout strength of a bio-inductive implant (BI) used to augment a medial patellofemoral ligament (MPFL) repair with the pullout strength of semitendinosus graft in a biomechanical cadaveric model. Methods: Six matched pairs of cadavers (12 knees) were used in the biomechanical testing comparing semitendinosus tendon (Semi-T) versus a BI. The Semi-T was harvested from 1 of the matched pairs. A standard double-bundle technique using 2 sockets in the upper two-thirds of the patella 15 mm apart was performed. After docking of the graft into the patella, the patella was dissected free of soft tissues and potted …

Fibrin Glue Acutely Blocks Distal Muscle Contraction After Confirmed Polyethylene Glycol Nerve Fusion: An Animal Study., Alec H Fisher, Parker H Johnsen, Andrew Simon, Cameron J Burns, Vineeth Romiyo, Elliot B Bodofsky, Sebastian Vega, David A Fuller

Cooper Medical School of Rowan University Faculty Scholarship

BACKGROUND: Polyethylene glycol (PEG) is a synthetic, biodegradable, and hyperosmotic material promising in the treatment of acute peripheral nerve injuries. Our team set out to investigate the impact of fibrin glue upon PEG fusion in a rat model.

METHODS: Eighteen rats underwent sciatic nerve transection and PEG fusion. Electrophysiologic testing was performed to measure nerve function and distal muscle twitch. Fibrin glue was applied and testing repeated. Due to preliminary findings, fibrin glue was applied to an uncut nerve in five rodents and testing was conducted before and after glue application. Mann-Whitney U tests were used to compare median values …

Mobilise-D Insights To Estimate Real-World Walking Speed In Multiple Conditions With A Wearable Device, Cameron Kirk, Arne Küderle, M Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, Martin Ullrich, Abolfazl Soltani, Eran Gazit, Francesca Salis, Lisa Alcock, Kamiar Aminian, Clemens Becker, Stefano Bertuletti, Philip Brown, Ellen Buckley, Alma Cantu, Anne-Elie Carsin, Marco Caruso, Brian Caulfield, Andrea Cereatti, Lorenzo Chiari, Ilaria D'Ascanio, Judith Garcia-Aymerich, Clint Hansen, Jeffrey M Hausdorff, Hugo Hiden, Emily Hume, Alison Keogh, Felix Kluge, Sarah Koch, Walter Maetzler, Dimitrios Megaritis, Arne Mueller, Martijn Niessen, Luca Palmerini, Lars Schwickert, Kirsty Scott, Basil Sharrack, Henrik Sillén, David Singleton, Beatrix Vereijken, Ioannis Vogiatzis, Alison J Yarnall, Lynn Rochester, Claudia Mazzà, Bjoern M Eskofier, Silvia Del Din

Journal Articles

This study aimed to validate a wearable device's walking speed estimation pipeline, considering complexity, speed, and walking bout duration. The goal was to provide recommendations on the use of wearable devices for real-world mobility analysis. Participants with Parkinson's Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Disease, Congestive Heart Failure, and healthy older adults (n = 97) were monitored in the laboratory and the real-world (2.5 h), using a lower back wearable device. Two walking speed estimation pipelines were validated across 4408/1298 (2.5 h/laboratory) detected walking bouts, compared to 4620/1365 bouts detected by a multi-sensor reference system. In the …

Experimental Study Of Bent Glass Curtain Walls., Sarah Said Abd El Kariem, Moustafa El Shami, Mahmoud El Nagar

Journal of Engineering Research

A Bent Laminated Glass is commonly used in the residential and commercial structures, its methodology is not present in the curves and tables at the ASTM E1300. Therefore, it has become a need for architects to use basis for this type of glass. To the best of authors ‘knowledge, no one study the bent laminated glass in details. A variety of safety glass that has lately gained popularity in the construction sector is modern laminated glass. Given that it offers a safe failover capability, it is perfect for the automotive industry. Double-lite glass is produced using two or more …

Inclusive Integration Of Refugees And Migrants In Djibouti's National Healthcare System: Current Situation And Prospects For Improvement, Farhan Houssein Ali, Njah Mansour, Kenza Hassouni

Health Sciences

Cet examen narratif vise à décrire et synthétiser les données actuelles sur la situation des migrants et des réfugiés à Djibouti, ainsi que les progrès de la stratégie d'intégration inclusive mise en œuvre par le gouvernement djiboutien. Il s'appuie sur diverses sources, notamment la littérature grise et les publications scientifiques. Les résultats indiquent que le nombre de migrants et de réfugiés est en augmentation constante depuis 2019, avec un état de santé vulnérable et des risques sanitaires alarmants. Il est urgent d'accélérer la mise en œuvre de la stratégie tout en l'adaptant aux données actuelles et d'établir un système fiable …

Satisfaction And Absenteeism To Lectures:Cross-Sectionnel Study Of Dental Students, Manal El Hijazi, Soundouss Soulami, Ihsane Benyahya

Health Sciences

Introduction: Lectures are still the main pedagogical tool in universities. The aim of this study was to evaluate student satisfaction with lectures and to analyze the factors behind student absenteeism.

Methods: A descriptive cross-sectional study was carried out among dental student by a voluntary, anonymous self-administered questionnaire with open and closed question. Statistical analysis was performed by SPSS version 25 and the Chi2 test was used to compare percentages, with a significance level of p

Quantification Of Antiviral Drug Tenofovir (Tfv) By Surface-Enhanced Raman Spectroscopy (Sers) Using Cumulative Distribution Functions (Cdfs), Marguerite R. Butler, Jana Hrncirova, Meredith Clark, Sucharita Dutta, John B. Cooper

Chemistry & Biochemistry Faculty Publications

Surface-enhanced Raman spectroscopy (SERS) is an ultrasensitive spectroscopic technique that generates signal-enhanced fingerprint vibrational spectra of small molecules. However, without rigorous control of SERS substrate active sites, geometry, surface area, or surface functionality, SERS is notoriously irreproducible, complicating the consistent quantitative analysis of small molecules. While evaporatively prepared samples yield significant SERS enhancement resulting in lower detection limits, the distribution of these enhancements along the SERS surface is inherently stochastic. Acquiring spatially resolved SERS spectra of these dried surfaces, we have shown that this enhancement is governed by a power law as a function of analyte concentration. Consequently, by definition, …

Detection Of Tooth Position By Yolov4 And Various Dental Problems Based On Cnn With Bitewing Radiograph, Kuo Chen Li, Yi-Cheng Mao, Mu-Feng Lin, Yi-Qian Li, Chiung-An Chen, Tsung-Yi Chen, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

Periodontitis is a high prevalence dental disease caused by bacterial infection of the bone that surrounds the tooth. Early detection and precision treatment can prevent more severe symptoms such as tooth loss. Traditionally, periodontal disease is identified and labeled manually by dental professionals. The task requires expertise and extensive experience, and it is highly repetitive and time-consuming. The aim of this study is to explore the application of AI in the field of dental medicine. With the inherent learning capabilities, AI exhibits remarkable proficiency in processing extensive datasets and effectively managing repetitive tasks. This is particularly advantageous in professions demanding …

Levofloxacin Incorporated Extracellular Matrix Nanoparticles For Pulmonary Cystic Fibrosis Infections, Raahi Patel

Theses and Dissertations

Cystic fibrosis (CF) is a progressive genetic disorder that affects around 40,000 people in the United States. CF is characterized by a mutation in the CFTR protein that causes dysregulated ion transport across epithelial cells, producing viscous mucus in the lung that increases bacterial invasion, causing persistent infections and subsequent inflammation. Pseudomonas aeruginosa and Staphylococcus aureus are two of the most common infections in CF patients that are resistant to antibiotics. One antibiotic approved to treat these infections is levofloxacin (LVX) that functions to inhibit bacterial replication, but can be further developed into tailorable particles. Nanoparticles are an emerging inhaled …

Bridging Language Barriers In Clinical Screening: Leveraging Large Language Models (Llms) To Generate Bilingual Screening Surveys For Patients With Limited English Proficiency (Plep), Tyler Vandyk

Family Medicine Clerkship Student Projects

This study addresses the critical need for accessible clinical screening in communities with a high incidence of Patients with Limited English Proficiency (PLEP). Recognizing the limitations of existing interpreter services and the scarcity of validated translations for standard clinical surveys like PHQ-9 and GAD-7, we developed a novel approach leveraging Large Language Models (LLMs). Our method utilizes GPT-4 to create bilingual versions of these surveys, which are then formatted into printable PDFs via a Python script and LuaLaTeX compiler. The resulting surveys, validated for translation accuracy and cultural competency, are made accessible through a Google repository. Preliminary results demonstrate that …