Biomedical Engineering and Bioengineering Commons^™

Study Of The Stability Of Heparin/Collagen Layer-By-Layer Coatings, Hector M. Apodaca Reyes

Chemical Engineering Undergraduate Honors Theses

Pairing heparin with collagen-based medical implants has opened a whole new area of research for enhancing the desired effect of current implants. In fact, heparin (HEP) and collagen (COL) layer-by-layer (LbL) coatings have shown impressive results in forming polyelectrolyte multilayers. It has been already seen on skin grafts, nerve guide conduits (NGCs), and drug delivery devices yielding promising results. Due to being a simple, cost-efficient, and versatile option to fabricate thin biomimetic films, this self-assembly technique is one of the most effective methods to immobilize extracellular matrix (collagen and heparin) onto medical devices and implants. Even though previous studies have …

Biodegradable Magnesium Materials Regulate Ros-Rns Balance In Pro-Inflammatory Macrophage Environment, Maria Paula Kwesiga, Amani A. Gillette, Seyedehfatemeh Razaviamri, Margaret E. Plank, Alexia L. Canull, Zachary Alesch, Weilue He, Bruce Lee, Roger J. Guillory Ii

Michigan Tech Publications

The relationship between reactive oxygen and nitrogen species (ROS-RNS) secretion and the concomitant biocorrosion of degradable magnesium (Mg) materials is poorly understood. We found that Mg foils implanted short term in vivo (24 h) displayed large amounts of proinflammatory F4/80+/iNOS + macrophages at the interface. We sought to investigate the interplay between biodegrading Mg materials (98.6% Mg, AZ31 & AZ61) and macrophages (RAW 264.7) stimulated with lipopolysaccharide (RAW 264.7LPS) to induce ROS-RNS secretion. To test how these proinflammatory ROS-RNS secreting cells interact with Mg corrosion in vitro, Mg and AZ61 discs were suspended approximately 2 mm above a monolayer of …

3d Reconstruction Of Syndactylized Hand In Autodesk Recap Photo With Arduino, Caleb E. Scheideger

ONU Student Research Colloquium

Syndactyly is one of the most common congenital malformations of the hand and is a result of a failed separation of adjacent digits. These digits are common among congenital limb malformations that affect 1 out of 2,000-3,000 people at birth. A reconstructive surgery would be needed to separate the digital skin, reconstruct the web space between fingers, and cover the separated digits with soft tissues. Finding the optimal shape and size for a dorsal flap in the web commissure reconstruction is important to avoid web creep. Conducting a numerical study with known mechanical properties, such as Young’s Modulus of the …

Murine Hearing Abr/Dpoae Assessments In Cmv-Infected Mouse Pups Receiving Peritoneal Antivirals Of Gcv, Quercetin+P188, Or A Combination. Controls Include Infected And Untreated And Non-Infected And Treated. Second Dataset Of Antiviral Assay In A Murine Stria Vascularis (Sv) Monolayer Cell Culture, David Britt, Albert Park

Browse all Datasets

Ganciclovir (GCV) has been shown to be an effective antiviral for the treatment of congenital cytomegalovirus (cCMV) induced sensorineural hearing loss. However, dose-dependent adverse effects (e.g. neutropenia) require strict, burdensome monitoring, limiting GCV use in some patients. Quercetin is a flavonoid with antioxidant properties that has demonstrated antiviral therapy against CMV. Although more benign than GCV, quercetin has limited therapeutic value due to its poor solubility. We previously reported that GCV improves hearing thresholds in a murine model of cCMV. We also noted that solubilizing quercetin with poloxamer 188 (P188) and combining with GCV therapy amplified CMV inhibition in murine …

Efecto Del Humo De Tabaco En La Película Lagrimal En Fumadores Activos Y Pasivos: Revisión De Tema, Mayra Jessica Tapia-Vargas, Mitzi Lorea Rodríguez De La Torre, Aranza Valeria García-Figueroa, Amabile A. Velo-Silvestre

Ciencia y Tecnología para la Salud Visual y Ocular

Fumar tabaco de modo habitual, así como estar expuesto prolongadamente al humo del tabaco, son factores de riesgo para el desarrollo de diversos problemas en la superficie ocular; entre ellos, las alteraciones en la lágrima. El objetivo de esta revisión de tema es sintetizar la evidencia disponible sobre los diversos cambios que puede presentar la película lagrimal por la exposición del humo de tabaco. Para ello, se incluyeron estudios clínicos publicados entre los años 2016 y 2021, La búsqueda se realizó en tres bases de datos: PubMed, Web of Science y Science Direct, mediante las siguientes palabras clave: “tear film” …

Comparación De Las Manifestaciones Oculares Durante El Contagio Por Covid-19 Y Después De La Vacunación, Luisa Fernanda Aguilar Serrano, Daniel Sebastián Cruz Mendoza, Nicolle Daniela Hernández Pacheco, Diana Valeria Rey-Rodríguez, Laura Nathaly Rojas Sánchez

Ciencia y Tecnología para la Salud Visual y Ocular

El objetivo del presente estudio es identificar la frecuencia de manifestaciones sistémicas y oculares en pacientes diagnosticados con COVID-19, y analizar los síntomas asociados a la vacunación. Como metodología, se diseñó un cuestionario de 15 preguntas sobre manifestaciones oculares asociadas a la SARS-CoV-2 y síntomas tras la vacunación. Se realizó un análisis descriptivo, incluyendo el uso de porcentajes y frecuencias para variables cualitativas. Se realizaron análisis bivariados según la relación existentes entre las variables de interés. En el estudio participaron 270 personas en los siguientes porcentajes según edad: menores de 18 años, 10,7 % (29 personas); de 18 a 30 …

Time Evolution Is A Source Of Bias In The Wolf Algorithm For Largest Lyapunov Exponents, Kolby Brink, Tyler Wiles, Nicholas Stergiou, Aaron Likens

UNO Student Research and Creative Activity Fair

Human movement is inherently variable by nature. One of the most common analytical tools for assessing movement variability is the largest Lyapunov exponent (LyE) which quantifies the rate of trajectory divergence or convergence in an n-dimensional state space. One popular method for assessing LyE is the Wolf algorithm. Many studies have investigated how Wolf’s calculation of the LyE changes due to sampling frequency, filtering, data normalization, and stride normalization. However, a surprisingly understudied parameter needed for LyE computation is evolution time. The purpose of this study is to investigate how the LyE changes as a function of evolution time …

Differentiating Axonal From Demyelinating Neuropathies Using Multiparametric Quantitative Mri Of Peripheral Nerves, Jacob D. Baraz, Stephanie Xuan, Sadaf Saba, Xue Yang, Ryan Castoro, Yang Xuan, Alison Roth, Richard D. Dortch, Jun Li, Yongsheng Chen

Medical Student Research Symposium

Objectives: To develop a multiparametric quantitative MRI (qMRI) method to track pathological changes in the peripheral neuropathies.

Background: Irrespective of the causes or types of polyneuropathies, peripheral nerves are mainly afflicted by two kinds of pathologies – axonal loss and demyelination. It is critical to differentiate between the two as treatments are different for the two conditions. While nerve conduction studies (NCS) have been used to differentiate the two pathologies in the distal nerves, there are no tools to probe the pathologies in the proximal peripheral nerves. This is particularly needed when distal nerves become non-responsive in NCS.

Methods: We …

Evaluation Of A Portable Gynecological Examination Table On Increasing Access To Cervical Cancer Screenings, Brennan Burrows, Giuliana Motta, Vibhasri Davuluri, Urvee Deo, Aman Tahir, Brindha Rajakumar, Jacob Blumenstein, Eliza Steinberg, Mariam Tobia, Asmita Tuladhar, Abigail Ahn

Medical Student Research Symposium

Introduction: Cervical cancer is a preventable disease affecting millions of women worldwide, with higher prevalence and mortality in developing countries. One explanation of this disparity is due to reduced access to screenings, especially in rural communities where mobile health clinics are limited by what medical equipment they can bring. To address these barriers, an engineering team called Project MESA (Making Examinations Safe and Accessible) designed a gynecological examination table that is portable, lightweight, and easily sanitizable.

Objective: This study aims to (1) evaluate whether the implementation of this device improves the clinician’s ability to perform pap smears as opposed to …

Efficient Scopeformer: Towards Scalable And Rich Feature Extraction For Intracranial Hemorrhage Detection Using Hybrid Convolution And Vision Transformer Networks, Yassine Barhoumi

Theses and Dissertations

The field of medical imaging has seen significant advancements through the use of artificial intelligence (AI) techniques. The success of deep learning models in this area has led to the need for further research. This study aims to explore the use of various deep learning algorithms and emerging modeling techniques to improve training paradigms in medical imaging. Convolutional neural networks (CNNs) are the go-to architecture for computer vision problems, but they have limitations in mapping long-term dependencies within images. To address these limitations, the study explores the use of techniques such as global average pooling and self-attention mechanisms. Additionally, the …

Using Statistics, Computational Modelling And Artificial Intelligence Methods To Study And Strengthen The Link Between Kinematic Impacts And Mtbis, Andrew Luke Mcconnell Patterson

Electronic Thesis and Dissertation Repository

Mild traumatic brain injuries (mTBIs) are frequently occurring, yet poorly understood, injuries in sports (e.g., ice hockey) and other physical recreation activities where head impacts occur. Helmets are essential pieces of equipment used to protect participants’ heads from mTBIs. Evaluating the performance of helmets to prevent mTBIs using simulations on anatomically accurate computational head finite element models is critically important for advancing the development of safer helmets. Advancing the level of detail in, and access to, such models, and their continued validation through state-of-the-art brain imaging methods and traditional head injury assessment procedures, is also essential to improve safety. The …

Raman Spectroscopy - An Analytical Tool For Biologics, Cindy Mayorga, Shreya Milind Athalye, Mohit Verma

Graduate Industrial Research Symposium

Raman Spectroscopy (RS) is a non-invasive technique that analyses biomolecules qualitatively and quantitatively. Raman spectroscopy measures the inelastic scattering of light due to molecular vibrations. It can be applied to liquid, solid, or semi-solid forms of the biological sample reducing the sample preparation measures. The minimal sample preparation and non-invasive nature of Raman Spectroscopy can be applied in developing a Process analytical technology (PAT) tool and as a diagnostic tool. We demonstrated qualitative and quantitative measurements of biologics with Raman spectroscopy through our previous studies. Our results indicate that RS distinguishes various Gram-positive and Gram-negative bacteria, fungi, and a mixture …

The Next-Gen Crop Nutrient Stress Identification With High-Precision Sensing Technology In Digital Agriculture, Zhihang Song, Ziling Chen, Xing Wei, Jian Jin

Graduate Industrial Research Symposium

Crop yields are facing significant losses from nutrient deficiencies. Over-fertilizing also has negative economic and environmental impacts. It is challenging to optimize fertilizing without an accurate diagnosis. Recently, plant phenotyping has demonstrated outstanding capabilities in estimating crop traits. As one of the leading technologies, LeafSpec, provides high-quality crop image data for improving phenotyping quality. In this study, novel algorithms are developed for LeafSpec to identify crop nutrient deficiencies more accurately. Combined with UAV system, this technology will bring growers a robust solution for fertilizing diagnosis and scientific crop management.

Sea-Phages Course-Based Undergraduate Research Experience For Creating A Biotechnology Workforce Development Pipeline, Daphne Fauber, Kari Clase, Carol Weaver

Graduate Industrial Research Symposium

Purdue University has been a member of the SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science) program since 2011. This program, created in conjunction with the Howard Hughes Medical Institute (HHMI), facilitates undergraduate curriculum for the authentic discovery of novel bacteriophages within the classroom. Since joining the program, undergraduates at Purdue have harnessed wet lab and bioinformatics principles to contribute over 200 previously uncharacterized bacteriophages and 25 novel genomes to the wider scientific literature. The SEA-PHAGES classes at Purdue have resulted in tangible professional deliverables for students through conference presentations and publications. Student outcomes also include transferable skills …

Hypoxic Incubator Control System, Marina Zellers, Jennifer Rojas, Derek Tran

Biomedical Engineering

This paper describes the functionality of the current Hypoxic Incubator, a project started by BMED graduate students Simone Helfrich and Makenzie Jones, with the objective being to redesign the device to address potential areas of improvement. The hypoxic incubator has been designed to allow for the control of the O₂, CO₂, and N₂ levels such that researchers can grow and study cell culture in hypoxic conditions; however, its efficacy and efficiency are limited by the fact that it often overshoots the desired setpoints for O₂ and CO₂ in addition to being difficult to …

Analytical Methods For Determining Connectivity Leakage In Collaboration With Meissner Filtration Products, Ennis Cuhadaroglu, Finn Mccarthy, Alvin Ng

Biomedical Engineering

The scope of our project involved choosing existing testing procedures and determining a viable sample size to determine an accurate leakage rate of single-use system connections (SUS). Another goal was to assess the effects of gamma irradiation on the material integrity of the hose barb to tubing connections.

Our key customer requirements included: being able to determine an overall leakage rate and making a repeatable testing process. The importance of these requirements was determined through our house of quality and Pugh charts. To achieve the requirements, we tested the leakage in low-pressure and high-pressure scenarios with a large enough sample …

Biomaterials Redesign Of Microvascular Anastomotic Coupler, Nick Glatter, Sophie Jackson, Samuel Leingang

Biomedical Engineering

The key factors in the redesign of this part include the use of biomaterials, the redesign of the part geometry to include these biomaterials, and the proposition of production scale manufacturing methods suitable for these redesigns. The choice of biodegradable material was guided by previous literature, during which we found the PLGA polymer used in similar predicate devices with a biodegradability timeline similar to our goals. The model of coupler serving as the inspiration for the redesign utilizes two very strong but bioinert materials, polyethylene, and stainless steel. These high strength materials can withstand much greater forces than the biodegradable …

Split And Join: An Efficient Approach For Simulating Stapled Intestinal Anastomosis In Virtual Reality, Di Qi, Suvranu De

Engineering Faculty Articles and Research

Colorectal cancer is a life-threatening disease. It is the second leading cause of cancer-related deaths in the United States. Stapled anastomosis is a rapid treatment for colorectal cancer and other intestinal diseases and has become an integral part of routine surgical practice. However, to the best of our knowledge, there is no existing work simulating intestinal anastomosis that often involves sophisticated soft tissue manipulations such as cutting and stitching. In this paper, for the first time, we propose a novel split and join approach to simulate a side-to-side stapled intestinal anastomosis in virtual reality. We mimic the intestine model using …

Effects Of Post-Translational Histone Modifications On Transcription Rate, Aaron Bohn

Annual Research Symposium

No abstract provided.

Session 12: Active Learning To Minimize The Possible Risk From Future Epidemics, Kc Santosh

SDSU Data Science Symposium

In medical imaging informatics, for any future epidemics (e.g., Covid-19), deep learning (DL) models are of no use as they require a large dataset as they take months and even years to collect enough data (with annotations). In such a context, active learning (or human/expert-in-the-loop) is the must, where a machine can learn from the first day with minimum possible labeled data. In unsupervised learning, we propose to build pre-trained DL models that iteratively learn independently over time, where human/expert intervenes only when it makes mistakes and for only a limited data. In our work, deep features are used to …