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Journals Biomedical Engineering and Com...

Biomedical Engineering and Computational Biology

https://read.qxmd.com/read/38033395/next-generation-microfluidics-for-biomedical-research-and-healthcare-applications
#1
REVIEW
Muhammedin Deliorman, Dima Samer Ali, Mohammad A Qasaimeh
Microfluidic systems offer versatile biomedical tools and methods to enhance human convenience and health. Advances in these systems enables next-generation microfluidics that integrates automation, manipulation, and smart readout systems, as well as design and three-dimensional (3D) printing for precise production of microchannels and other microstructures rapidly and with great flexibility. These 3D-printed microfluidic platforms not only control the complex fluid behavior for various biomedical applications, but also serve as microconduits for building 3D tissue constructs-an integral component of advanced drug development, toxicity assessment, and accurate disease modeling...
2023: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/37745982/prediction-of-druggable-allosteric-sites-of-undruggable-multidrug-resistance-efflux-pump-p-gingivalis-proteins
#2
JOURNAL ARTICLE
Pradeep Kumar Yadalam, Raghavendra Vamsi Anegundi, Artak Heboyan
No abstract text is available yet for this article.
2023: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/37533697/deep-learning-based-classification-of-dermatological-disorders
#3
JOURNAL ARTICLE
Lulwah AlSuwaidan
Automated medical diagnosis has become crucial and significantly supports medical doctors. Thus, there is a demand for inventing deep learning (DL) and convolutional networks for analyzing medical images. Dermatology, in particular, is one of the domains that was recently targeted by AI specialists to introduce new DL algorithms or enhance convolutional neural network (CNN) architectures. A significantly high proportion of studies in the field are concerned with skin cancer, whereas other dermatological disorders are still limited...
2023: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/37200852/hydroxyapatite-bioceramic-expanded-perlite-hybrid-composites-coating-on-ti-6-al-4-v-by-hydrothermal-method-and-in-vitro-behavior
#4
JOURNAL ARTICLE
Mehtap Muratoğlu, Tuğçe Özcan
This study was aimed to coat a hybrid bioceramic composite onto Ti6 Al4 V by using hydrothermal method. The Hybrid bioceramic composite for coating was prepared by reinforcing different rations of expanded perlite (EP) and 5 wt.% chitosan into synthesized Hydroxyapatite (HA). Coating was performed at 1800°C for 12 hours. The coated specimens were gradually subjected to a sintering at 6000°C for 1 hour. For in vitro analysis, the specimens were kept in Ringer's solution for 1, 10, and 25 days...
2023: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/37077619/digital-filtering-and-signal-decomposition-a-priori-and-adaptive-approaches-in-body-area-sensing
#5
REVIEW
Roya Haratian
Elimination of undesired signals from a mixture of captured signals in body area sensing systems is studied in this paper. A series of filtering techniques including a priori and adaptive approaches are explored in detail and applied involving decomposition of signals along a new system's axis to separate the desired signals from other sources in the original data. Within the context of a case study in body area systems, a motion capture scenario is designed and the introduced signal decomposition techniques are critically evaluated and a new one is proposed...
2023: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/37020922/finite-element-model-computed-mechanical-behavior-of-femurs-with-metastatic-disease-varies-between-physiologic-and-idealized-loading-simulations
#6
JOURNAL ARTICLE
Joshua E Johnson, Marc J Brouillette, Benjamin J Miller, Jessica E Goetz
BACKGROUND AND OBJECTIVES: Femurs affected by metastatic bone disease (MBD) frequently undergo surgery to prevent impending pathologic fractures due to clinician-perceived increases in fracture risk. Finite element (FE) models can provide more objective assessments of fracture risk. However, FE models of femurs with MBD have implemented strain- and strength-based estimates of fracture risk under a wide variety of loading configurations, and "physiologic" loading models typically simulate a single abductor force...
2023: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/36819710/-in-silico-structural-modeling-of-human-immunodeficiency-virus-proteins
#7
JOURNAL ARTICLE
Amir Elalouf
Human immunodeficiency virus (HIV) is an infectious virus that depletes the CD4+ T lymphocytes of the immune system and causes a chronic life-treating disease-acquired immunodeficiency syndrome (AIDS). The HIV genome encodes different structural and accessory proteins involved in viral entry and life cycle. Determining the 3D structure of HIV proteins is essential for new target position finding, structure-based drug designing, and future planning for computational and laboratory experimentations. Hence, the study aims to predict the 3D structures of all the HIV structural and accessory proteins using computational homology modeling to understand better the structural basis of HIV proteins interacting with host cells and viral replication...
2023: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/36760780/assessing-paracetamol-overdose-in-children-acceptability-and-potential-market-for-a-non-invasive-testing-device
#8
JOURNAL ARTICLE
Debora Freitas, Christopher Parry, Gabrielle Seddon, Jana Lemke, James Moss, Neville Freeman, Julie Grice, Daniel B Hawcutt
BACKGROUND: Assessment of paracetamol overdose in children and teenagers in the emergency department (ED) requires blood, taken 4 hours post ingestion. A commercial partner developed transdermal paracetamol measuring technology. This work aims to understand the acceptability of such a device, and potential market size. METHODS: A questionnaire study was undertaken with children and parents attending Alder Hey Children's Hospital, and healthcare professionals (HCP) involved in their care...
2023: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/36466131/assessing-the-effect-of-directional-bremsstrahlung-splitting-on-the-output-spectra-and-parameters-using-beamnrc-monte-carlo-simulation-package
#9
JOURNAL ARTICLE
Hamed Babapour, Somayeh Semyari, Masoumeh Yadollahi, Mehrsa Majdaeen, Razzagh Abedi-Firouzjah, Gholamreza Ataei
INTRODUCTION: EGSnrc software package is one of the computational packages for Monte Carlo simulation in radiation therapy and has several subset codes. Directional bremsstrahlung splitting (DBS) is a technique that applies braking radiations in interactions in this software. This study aimed to evaluate the effect of this technique on the simulation time, uncertainty, particle number of phase-space data, and photon beam spectrum resulting from a medical linear accelerator (LINAC). MATERIALS AND METHODS: The gantry of the accelerator, including the materials and geometries of different parts, was simulated using the BEAMnrc code (a subset code in the EGSnrc package)...
2022: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/35633868/a-scoping-review-of-digital-twins-in-the-context-of-the-covid-19-pandemic
#10
REVIEW
Asiya Khan, Madison Milne-Ives, Edward Meinert, Gloria E Iyawa, Ray B Jones, Alex N Josephraj
Background: Digital Twins (DTs), virtual copies of physical entities, are a promising tool to help manage and predict outbreaks of Covid-19. By providing a detailed model of each patient, DTs can be used to determine what method of care will be most effective for that individual. The improvement in patient experience and care delivery will help to reduce demand on healthcare services and to improve hospital management. Objectives: The aim of this study is to address 2 research questions: (1) How effective are DTs in predicting and managing infectious diseases such as Covid-19? and (2) What are the prospects and challenges associated with the use of DTs in healthcare? Methods: The review was structured according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) framework...
2022: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/34539193/oligoprime-an-information-system-for-oligonucleotide-management
#11
JOURNAL ARTICLE
Šimen Ravnik, Ines Žabkar, Uršula Prosenc Zmrzljak, Ivana Jovčevska, Neja Šamec, Miha Moškon, Alja Videtič Paska
With the increasing number of molecular biology techniques, large numbers of oligonucleotides are frequently involved in individual research projects. Thus, a dedicated electronic oligonucleotide management system is expected to provide several benefits such as increased oligonucleotide traceability, facilitated sharing of oligonucleotides between laboratories, and simplified (bulk) ordering of oligonucleotides. Herein, we describe OligoPrime, an information system for oligonucleotide management, which presents a computational support for all steps in an oligonucleotide lifecycle, namely, from its ordering and storage to its application, and disposal...
2021: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/33716517/graphene-an-interesting-nanocarbon-allotrope-for-biosensing-applications-advances-insights-and-prospects
#12
REVIEW
Farid Menaa, Yazdian Fatemeh, Sandeep K Vashist, Haroon Iqbal, Olga N Sharts, Bouzid Menaa
Graphene, a relatively new two-dimensional (2D) nanomaterial, possesses unique structure (e.g. lighter, harder, and more flexible than steel) and tunable physicochemical (e.g. electronical, optical) properties with potentially wide eco-friendly and cost-effective usage in biosensing. Furthermore, graphene-related nanomaterials (e.g. graphene oxide, doped graphene, carbon nanotubes) have inculcated tremendous interest among scientists and industrials for the development of innovative biosensing platforms, such as arrays, sequencers and other nanooptical/biophotonic sensing systems (e...
2021: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/32884391/tissue-phantoms-for-biomedical-applications-in-raman-spectroscopy-a-review
#13
REVIEW
Martha Z Vardaki, Nikolaos Kourkoumelis
Raman spectroscopy is a group of analytical techniques, currently applied in several research fields, including clinical diagnostics. Tissue-mimicking optical phantoms have been established as an essential intermediate stage for medical applications with their employment from spectroscopic techniques to be constantly growing. This review outlines the types of tissue phantoms currently employed in different biomedical applications of Raman spectroscopy, focusing on their composition and optical properties. It is therefore an attempt to present an informed range of options for potential use to the researchers...
2020: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/32704232/zno-nanowire-anchored-microfluidic-device-with-herringbone-structure-fabricated-by-maskless-photolithography
#14
JOURNAL ARTICLE
Dilshan Sooriyaarachchi, Shahrima Maharubin, George Z Tan
The integration of nanomaterials in microfluidic devices has emerged as a new research paradigm. Microfluidic devices composed of ZnO nanowires have been developed for the collection of urine extracellular vesicles (EVs) at high efficiency and in situ extraction of various microRNAs (miRNAs). The devices can be used for diagnosing various diseases, including kidney diseases and cancers. A major research need for developing micro total analysis systems is to enhance extraction efficiency. This article presents a novel fabrication method for a herringbone-patterned microfluidic device anchored with ZnO nanowire arrays...
2020: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/32269474/integrated-optical-fiber-force-myography-sensor-as-pervasive-predictor-of-hand-postures
#15
JOURNAL ARTICLE
Yu Tzu Wu, Matheus K Gomes, Willian Ha da Silva, Pedro M Lazari, Eric Fujiwara
Force myography (FMG) is an appealing alternative to traditional electromyography in biomedical applications, mainly due to its simpler signal pattern and immunity to electrical interference. Most FMG sensors, however, send data to a computer for further processing, which reduces the user mobility and, thus, the chances for practical application. In this sense, this work proposes to remodel a typical optical fiber FMG sensor with smaller portable components. Moreover, all data acquisition and processing routines were migrated to a Raspberry Pi 3 Model B microprocessor, ensuring the comfort of use and portability...
2020: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/31320812/extending-classification-algorithms-to-case-control-studies
#16
JOURNAL ARTICLE
Bryan Stanfill, Sarah Reehl, Lisa Bramer, Ernesto S Nakayasu, Stephen S Rich, Thomas O Metz, Marian Rewers, Bobbie-Jo Webb-Robertson
Classification is a common technique applied to 'omics data to build predictive models and identify potential markers of biomedical outcomes. Despite the prevalence of case-control studies, the number of classification methods available to analyze data generated by such studies is extremely limited. Conditional logistic regression is the most commonly used technique, but the associated modeling assumptions limit its ability to identify a large class of sufficiently complicated 'omic signatures. We propose a data preprocessing step which generalizes and makes any linear or nonlinear classification algorithm, even those typically not appropriate for matched design data, available to be used to model case-control data and identify relevant biomarkers in these study designs...
2019: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/31217702/critical-care-critical-data
#17
REVIEW
Christopher V Cosgriff, Leo Anthony Celi, David J Stone
As big data, machine learning , and artificial intelligence continue to penetrate into and transform many facets of our lives, we are witnessing the emergence of these powerful technologies within health care. The use and growth of these technologies has been contingent on the availability of reliable and usable data, a particularly robust resource in critical care medicine where continuous monitoring forms a key component of the infrastructure of care. The response to this opportunity has included the development of open databases for research and other purposes; the development of a collaborative form of clinical data science intended to fully leverage these data resources, and the creation of data-driven applications for purposes such as clinical decision support...
2019: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/30116105/granular-cell-tumor-imaging-using-optical-coherence-tomography
#18
JOURNAL ARTICLE
David Tes, Ahmed Aber, Mohsin Zafar, Luke Horton, Audrey Fotouhi, Qiuyun Xu, Ali Moiin, Andrew D Thompson, Tatiana Cristina Moraes Pinto Blumetti, Steven Daveluy, Wei Chen, Mohammadreza Nasiriavanaki
Background: Granular cell tumor (GCT) is a relatively uncommon tumor that may affect the skin. The tumor can develop anywhere on the body, although it is predominately seen in oral cavities and in the head and neck regions. Here, we present the results of optical coherence tomography (OCT) imaging of a large GCT located on the abdomen of a patient. We also present an analytical method to differentiate between healthy tissue and GCT tissues. Materials and methods: A multibeam, Fourier domain, swept source OCT was used for imaging...
2018: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/30090024/multifidelity-analysis-for-predicting-rare-events-in-stochastic-computational-models-of-complex-biological-systems
#19
JOURNAL ARTICLE
Elsje Pienaar
Rare events such as genetic mutations or cell-cell interactions are important contributors to dynamics in complex biological systems, eg, in drug-resistant infections. Computational approaches can help analyze rare events that are difficult to study experimentally. However, analyzing the frequency and dynamics of rare events in computational models can also be challenging due to high computational resource demands, especially for high-fidelity stochastic computational models. To facilitate analysis of rare events in complex biological systems, we present a multifidelity analysis approach that uses medium-fidelity analysis (Monte Carlo simulations) and/or low-fidelity analysis (Markov chain models) to analyze high-fidelity stochastic model results...
2018: Biomedical Engineering and Computational Biology
https://read.qxmd.com/read/29977121/development-and-optimization-of-a-fluorescent-imaging-system-to-detect-amyloid-%C3%AE-proteins-phantom-study
#20
JOURNAL ARTICLE
David Tes, Karl Kratkiewicz, Ahmed Aber, Luke Horton, Mohsin Zafar, Nour Arafat, Afreen Fatima, Mohammad Rn Avanaki
Alzheimer disease is the most common form of dementia, affecting more than 5 million people in the United States. During the progression of Alzheimer disease, a particular protein begins to accumulate in the brain and also in extensions of the brain, ie, the retina. This protein, amyloid-β (Aβ), exhibits fluorescent properties. The purpose of this research article is to explore the implications of designing a fluorescent imaging system able to detect Aβ proteins in the retina. We designed and implemented a fluorescent imaging system with a range of applications that can be reconfigured on a fluorophore to fluorophore basis and tested its feasibility and capabilities using Cy5 and CRANAD-2 imaging probes...
2018: Biomedical Engineering and Computational Biology
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