3d Printing Of High Viscosity Fluids And Its Application In 3d
Printing Of Prosthetic Teeth.,
2021
University of Texas at El Paso
3d Printing Of High Viscosity Fluids And Its Application In 3d Printing Of Prosthetic Teeth., Abhilash Aditya
Open Access Theses & Dissertations
The advancement in technology has brought forward non-conventional manufacturing methods that are efficient and advantageous for specific applications. 3D printing is one such outcome, whose applications stretch from biomedical applications to daily products. 3D printing is a rapidly growing technology, and innovative research developments have proven versatility in creating physical objects. Simplification and constant improvement in Fused Deposition Modeling (FDM) operation result from decades of research. However, 3D printing is material-specific and contributes to shortcomings in the technology. The build-material dictates the extrusion parameters, including the material discharge rate and head speed for a continuous flow. Customization being the prime …
Evaluation Of The Cytotoxyc Effects Of Lmdf5-7 On A Human T-Cell Leukemia Cell Line,
2021
University of Texas at El Paso
Evaluation Of The Cytotoxyc Effects Of Lmdf5-7 On A Human T-Cell Leukemia Cell Line, Andrea F. Ibarra Chacon
Open Access Theses & Dissertations
According to World Health Organization (WHO), cancer is the second leading cause of death worldwide, with 9.6 million deaths in 2018 . In the United States, an estimated 434,982 people were living with cancer during 2017 . Leukemia is the most common blood cancer in children from birth to 14 years old . In particular, Hispanic children in the United States experience a higher incidence rate of leukemia . Therefore, the discovery of novel cancer therapies is necessary to help those affected survive the disease. A new compound, LMDF5-7 was investigated and found to have anticancer properties that can help …
Patient-Specific Finite Element Analysis For Mandibular Fracture Fixation,
2021
University of Nevada, Las Vegas
Patient-Specific Finite Element Analysis For Mandibular Fracture Fixation, Ethan Snyder
UNLV Theses, Dissertations, Professional Papers, and Capstones
This thesis proposes an approach for Finite Element Analysis (FEA) of mandibular fracture fixation. Using a Computerized Tomography (CT) scan of mandible obtained from a specific person, the material characteristics, density and modulus of elasticity, were determined from a set of discrete points within the mandible that are 1mm spaced based on the Hounsfield Units of these points. The mandible geometry was sectioned to simulate a fracture. Muscle and mastication forces were added to replicate post-surgery loading. Using a standard linear miniplate, this material model was compared with two commonly used mandibular cortical shell bone models: isotropic and orthotropic. A …
Healthy Aging In Place: An Integrated Smart Home Using Alexa-Compatible Technology,
2021
University of Nevada, Las Vegas
Healthy Aging In Place: An Integrated Smart Home Using Alexa-Compatible Technology, Tyler Kryst
UNLV Theses, Dissertations, Professional Papers, and Capstones
The purpose of this research was to address current healthcare concerns among the aging population. Around the globe, the average life expectancy is projected to continue increasing resulting in a higher prevalence of age-related disease. With the ever-increasing capabilities of modern technology, it is necessary to apply this technology to increase the health and safety of older adults. This work had three objectives. The first objective was the establishment of an integrated smart home aimed at creating a healthy aging-in-place environment through the use of Alexa. The second objective was the development and integration of a completely custom health device …
Statistical Machine Learning For Breast Cancer Detection With Terahertz Imaging,
2021
University of Arkansas, Fayetteville
Statistical Machine Learning For Breast Cancer Detection With Terahertz Imaging, Tanny Andrea Chavez Esparza
Graduate Theses and Dissertations
Breast conserving surgery (BCS) is a common breast cancer treatment option, in which the cancerous tissue is excised while leaving most of the healthy breast tissue intact. The lack of in-situ margin evaluation unfortunately results in a re-excision rate of 20-30% for this type of procedure. This study aims to design statistical and machine learning segmentation algorithms for the detection of breast cancer in BCS by using terahertz (THz) imaging. Given the material characterization properties of the non-ionizing radiation in the THz range, we intend to employ the responses from the THz system to identify healthy and cancerous breast tissue …
Engineering Cardiac Tissues With Three-Dimensional Bioprinting For Biomedical Applications,
2021
University of Texas at El Paso
Engineering Cardiac Tissues With Three-Dimensional Bioprinting For Biomedical Applications, Matthew Alonzo
Open Access Theses & Dissertations
The role of a biomedical engineer is to solve unmet health-related needs that face society. For the past couple of decades, heart disease (HD) has remained the leading cause of mortality and morbidity worldwide. The disease is characterized by various pathologies that affect the heart. Indeed, malfunction of one of the bodyâ??s most vital organs is bound to manifest poor health and even death in patients. Despite advances in medicine and technology, heart disease continues to be prevalent and diminishes the quality of life for many around the world. Certainly, there exists a need for developing new tools to better …
Husky Hand: A Low-Cost Electro-Mechanical Prosthetic Arm For The Underprivileged,
2021
University of Southern Maine
Husky Hand: A Low-Cost Electro-Mechanical Prosthetic Arm For The Underprivileged, Adam Robert
Thinking Matters Symposium
A continuation of a low-cost prosthetic upper limb prototype design which was investigated in EGN 301. The prosthetic is specifically designed for the needs and requirements of under privileged individuals in the Dominican Republic with upper limb amputations. The project focuses on the creation of an open-source computer aided prosthetic hand/arm model. The design allows consumer-grade fused filament fabrication (FFF) 3-D printers to be used. The improved design allows for the integration of the PQ-12 linear actuator for grasp and finger control. This simplifies the assembly, while, also reducing the size and mass of the whole unit. Producing a low-cost …
Correlating The Effect Of Dynamic Variability In The Sensor Environment On Sensor Design,
2021
Florida International University
Correlating The Effect Of Dynamic Variability In The Sensor Environment On Sensor Design, Pulak Bhushan
FIU Electronic Theses and Dissertations
This dissertation studies the effect of biofluid dynamics on the electrochemical response of a wearable sensor for monitoring of chronic wounds. The research investigates various dynamic in vivo parameters and correlates them with experimentally measured behavior with wound monitoring as a use case. Wearable electrochemical biosensors suffer from several unaddressed challenges, like stability and sensitivity, that need to be resolved for obtaining accurate data. One of the major challenges in the use of these sensors is continuous variation in biofluid composition. Wound healing is a dynamic process with wound composition changing continuously. This dissertation investigates the effects of several in …
Who Will Be Liable For Medical Malpractice In The Future? How The Use Of Artificial Intelligence In Medicine Will Shape Medical Tort Law,
2021
University of Minnesota Law School
Who Will Be Liable For Medical Malpractice In The Future? How The Use Of Artificial Intelligence In Medicine Will Shape Medical Tort Law, Scott J. Schweikart
Minnesota Journal of Law, Science & Technology
No abstract provided.
Biological Semantic Segmentation On Ct Medical Images For Kidney Tumor Detection Using Nnu-Net Framework,
2021
Cal Poly, SLO
Biological Semantic Segmentation On Ct Medical Images For Kidney Tumor Detection Using Nnu-Net Framework, Andres Bergsneider
Master's Theses
Healthcare systems are constantly challenged with bottlenecks due to human-reliant operations, such as analyzing medical images. High precision and repeatability is necessary when performing a diagnostics on patients with tumors. Throughout the years an increasing number of advancements have been made using various machine learning algorithms for the detection of tumors helping to fast track diagnosis and treatment decisions. “Black Box” systems such as the complex deep learning networks discussed in this paper rely heavily on hyperparameter optimization in order to obtain the most ideal performance. This requires a significant time investment in the tuning of such networks to acquire …
Four Channel 6.5 Kv, 65 A, 100 Ns-100 Μs Generator With Advanced Control Of Pulse And Burst Protocols For Biomedical And Biotechnological Applications,
2021
Old Dominion University
Four Channel 6.5 Kv, 65 A, 100 Ns-100 Μs Generator With Advanced Control Of Pulse And Burst Protocols For Biomedical And Biotechnological Applications, Aleh Kandratsyeu, Uladzimir Sabaleuski, Luis Redondo, Andrei G. Pakhomov
Bioelectrics Publications
Pulsed electric fields in the sub-microsecond range are being increasingly used in biomedical and biotechnology applications, where the demand for high-voltage and high-frequency pulse generators with enhanced performance and pulse flexibility is pushing the limits of pulse power solid state technology. In the scope of this article, a new pulsed generator, which includes four independent MOSFET based Marx modulators, operating individually or combined, controlled from a computer user interface, is described. The generator is capable of applying different pulse shapes, from unipolar to bipolar pulses into biological loads, in symmetric and asymmetric modes, with voltages up to 6.5 kV and …
Mechanisms Of Sensory Adaptation In The Primate Visual System,
2021
University of Denver
Mechanisms Of Sensory Adaptation In The Primate Visual System, Boris Isaac Peñaloza Rojas
Electronic Theses and Dissertations
Under ecological conditions, the luminance impinging on the retina varies within a dynamic range of 220 dB. Stimulus contrast can also vary drastically within a scene, and eye movements leave little time for sampling luminance. In addition, the amount of information reaching our visual system far exceeds the brain’s information processing capacity. Given the limited dynamic range of its neurons and its limited capacity in processing visual information in real-time, the brain deploys both structural and functional solutions that work in tandem to adapt to the surroundings. In this work, employing visual psychophysics and computational neuroscience, we study the mechanisms …
Imaging Glutamate In The Human Brain At Ultra-High Magnetic Field: Advances And Applications,
2021
University of Pennsylvania
Imaging Glutamate In The Human Brain At Ultra-High Magnetic Field: Advances And Applications, Abigail Talya Jordan Cember
Publicly Accessible Penn Dissertations
Glutamate is one of the primary neurotransmitters in the human brain, and many unanswered questions in neuroscience, psychiatry and medicine revolve around this molecule: its production, transport, conversion or degradation, regulation and effects. Yet, to date, methods for actually measuring glutamate within the human body are extremely limited. Amongst the few options in the medical imaging toolbox are magnetic resonance spectroscopy (MRS) and a recently introduced specialized form of magnetic resonance imaging (MRI) known as glutamate-weighted chemical exchange saturation transfer imaging, or gluCEST. MRS, while providing good specificity at high field strengths, lacks spatial or temporal resolution. GluCEST has the …
Development Of Light Actuated Chemical Delivery Platform On A 2-D Array Of Micropore Structure,
2021
CUNY City College
Development Of Light Actuated Chemical Delivery Platform On A 2-D Array Of Micropore Structure, Hojjat Rostami Azmand, Hojjat Rostami Azmand
Dissertations and Theses
Localized chemical delivery plays an essential role in the fundamental information transfers within biological systems. Thus, the ability to mimic the natural chemical signal modulation would provide significant contributions to understand the functional signaling pathway of biological cells and develop new prosthetic devices for neurological disorders. In this paper, we demonstrate a light-controlled hydrogel platform that can be used for localized chemical delivery in a high spatial resolution. By utilizing the photothermal behavior of graphene-hydrogel composites confined within micron-sized fluidic channels, patterned light illumination creates the parallel and independent actuation of chemical release in a group of fluidic ports. The …
Quantitative Methods For Guiding Epilepsy Surgery From Intracranial Eeg,
2021
University of Pennsylvania
Quantitative Methods For Guiding Epilepsy Surgery From Intracranial Eeg, John Bernabei
Publicly Accessible Penn Dissertations
Despite advances in intracranial EEG (iEEG) technique, technology and neuroimaging, patients today are no more likely to achieve seizure freedom after epilepsy surgery than they were 20 years ago. These poor outcomes are in part due to the difficulty and subjectivity associated with interpreting iEEG recordings, and have led to widespread interest in developing quantitative methods to localize the epileptogenic zone. Approaches to computational iEEG analysis vary widely, spanning studies of both seizures and interictal periods, and encompassing a range of techniques including electrographic signal analysis and graph theory. However, many current methods often fail to generalize to new data …
Engineering Novel High-Resolution Bioelectronic Interfaces From Mxene Nanomaterials,
2021
University of Pennsylvania
Engineering Novel High-Resolution Bioelectronic Interfaces From Mxene Nanomaterials, Brendan Boyce Murphy
Publicly Accessible Penn Dissertations
At the interface between Man and Machine are electrode technologies. Using recording electrodes, it is possible to observe and monitor the activity of neurons or nervous tissue, affording us with an understanding of the basic dynamics underlying behavior and disease. By interacting with the nervous system through stimulating electrodes, it is possible to impact brain function, or evoke muscle activation and coordination, paving the way for treatments to severe neurological and neuromuscular disorders. However, despite the exciting promises of electrode technologies, current state-of-the-art platforms feature stiff and high-impedance materials, which are incompatible with soft biological tissue. Additionally, many current technologies …
Development Of Robot-Based Cognitive And Motor Assessment Tools For Stroke And Hiv Neurorehabilitation,
2021
University of Pennsylvania
Development Of Robot-Based Cognitive And Motor Assessment Tools For Stroke And Hiv Neurorehabilitation, Kevin Bui
Publicly Accessible Penn Dissertations
Stroke and HIV are leading causes of disability worldwide. HIV is an independent risk factor for stroke, resulting in an emerging population dealing with both but without guidelines on how to manage the co-presentation of these conditions. There is a need for solutions to combat functional decline that results from the cognitive and motor dysfunction associated with these conditions. Rehabilitation robotics has been explored as a solution to provide therapy in the stroke population, but its application to people living with HIV has not yet been examined. Additionally, current technology-based approaches generally tend to treat cognitive and motor impairments in …
Sensitray: An Integrated Measuring Device For Monitoring Children’S Mealtime Dietary Intake,
2021
Stanford University
Sensitray: An Integrated Measuring Device For Monitoring Children’S Mealtime Dietary Intake, Hunter S. Guru, Anthony D. Weng, Santosh Pitla, Dipti Dev
Faculty Publications, Department of Child, Youth, and Family Studies
Childhood nutrition establishes consumption norms that affect an individual’s health over the course of their lives. However, early nutrition interventions to establish such norms are uncommon owing to the various inefficiencies associated with current methods of measuring childhood nutrition. Here, we present an IoT measuring device, called the SensiTray, which accurately tracks mealtime intake in a child-friendly and cost-effective fashion. Principal technologies underlying the SensiTray (including mass-sensing technologies, microcontrollers) are identified and analyzed, along with other design choices. Operation of the SensiTray is explained with special attention given to SensiTray software peripherals and algorithms. Preliminary testing consisted of static and …
Monopolar Gene Electrotransfer Enhances Plasmid Dna Delivery To Skin,
2021
Old Dominion University
Monopolar Gene Electrotransfer Enhances Plasmid Dna Delivery To Skin, Anna Bulysheva, Loree Heller, Michael Francis, Frency Varghese, Carly Boye, Richard Heller
Electrical & Computer Engineering Faculty Publications
A novel monopolar electroporation system and methodologies were developed for in vivo electroporation intended for potential clinical applications such as gene therapy. We hypothesized that an asymmetric anode/cathode electrode applicator geometry could produce favorable electric fields for electroporation, without the typical drawback associated with traditional needle and parallel plate geometries. Three monopolar electrode applicator prototypes were built and tested for gene delivery of reporter genes to the skin in a guinea pig model. Gene expression was evaluated in terms of kinetics over time and expression distribution within the treatment site. Different pulsing parameters, including pulse amplitude, pulse duration, and pulse …
Deep Neural Network Analysis Of Pathology Images With Integrated Molecular Data For Enhanced Glioma Classification And Grading,
2021
Old Dominion University
Deep Neural Network Analysis Of Pathology Images With Integrated Molecular Data For Enhanced Glioma Classification And Grading, Linmin Pei, Karra A. Jones, Zeina A. Shboul, James Y. Chen, Khan M. Iftekharuddin
Electrical & Computer Engineering Faculty Publications
Gliomas are primary brain tumors that originate from glial cells. Classification and grading of these tumors is critical to prognosis and treatment planning. The current criteria for glioma classification in central nervous system (CNS) was introduced by World Health Organization (WHO) in 2016. This criteria for glioma classification requires the integration of histology with genomics. In 2017, the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) was established to provide up-to-date recommendations for CNS tumor classification, which in turn the WHO is expected to adopt in its upcoming edition. In this work, we propose a novel …
