922 resultados para Biomedical informatics
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Dissertation for Ph.D. degree in Biomedical Engineering.
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Dissertação de mestrado em Bioengenharia
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La ingeniería genética y la reprogramación de organismos vivos representan las nuevas fronteras biotecnológicas que permitirán generar animales con modificaciones precisas en sus genomas para un sinnúmero de aplicaciones biomédicas y agropecuarias. Las técnicas para inducir modificaciones génicas intencionales en animales, especialmente en especies mayores de interés agropecuario, se encuentran rezagadas si se compara con los avances significativos que se han producido en el área de la transgénesis de roedores de laboratorio, especialmente el ratón. Es así que, el presente proyecto persigue desarrollar y optimizar protocolos para generar embriones bovinos transgénicos para aplicaciones biotecnológicas. La estrategia propuesta, se basa en conseguir la presencia simultánea en el interior celular de una enzima de restricción (I-SceI) más un transgén (formado por casetes de expresión de una proteína fluorescente -ZsGreen1- y neomicina fosfotransferasa). Específicamente, proyectamos estudiar una vía alternativa para generar embriones bovinos transgénicos mediante la incorporación del transgén (casetes ZsGreen1 y neo) flanqueado por sitios I-SceI más la enzima I-SceI al interior del ovocito junto con el espermatozoide durante la técnica conocida como inyección intracitoplasmática de espermatozoides (ICSI). Los embriones así generados se cultivarán in vitro, inspeccionándolos diariamente para detectar la emisión de fluorescencia, indicativa de la expresión de la proteína ZsGreen1. Los embriones que alcancen el estado de blastocisto y expresen el transgén se transferirán quirúrgicamente al útero de ovejas sincronizadas y se mantendrán durante 7 días. Al cabo de este período, los embriones se recolectarán quirúrgicamente del útero ovino y se transportarán al laboratorio para determinar el número de sitios de integración y número de copias del transgén mediante el análisis de su ADN por Southern blot. Se prevé que los resultados de esta investigación permitirán sentar las bases para el desarrollo de métodos eficientes para obtener modificaciones precisas en el genoma de los animales domésticos para futuras aplicaciones biotecnológicas. Genetic engineering and reprogrammed organisms represent the new biotechnological frontiers which will make possible to generate animals with precise genetic modifications for agricultural and biomedical applications. Current methods used to generate genetically modified large animals, lay behind those used in laboratory animals, specially the mouse. Therefore, we seek to develop and optimize protocols to produce transgenic bovine embryos through the use of a non-viral vector. The strategy involves the simultaneous presence inside the cell of a restriction enzyme (I-SceI) and a transgene (carrying cassettes for a fluorescent protein -ZsGreen1- and neomycin phosphotransferase) flanked by restriction sites for the endonuclease. We plan to develop an alternative approach to generate transgenic bovine embryos by coinjecting the transgene flanked by I-SceI restriction sites plus the enzyme I-SceI along with the spermatozoon during the technique known as intracytoplasmic sperm injection (ICSI). Embryos will be cultured in vitro and inspected daily with a fluorescence microscope to characterize transgene expression. Embryos that reach the blastocyst stage and express the transgene will be surgically transfer to the uterus of a synchronized ewe. After 7 days, the embryos will be flushed out the ovine uterus and transported to the laboratory to determine the number of integration sites and transgene copies by Southern blot. We anticipate that results from this research will set the stage for the development of efficient strategies to achieve precise genetic modifications in large domestic animals for future biotechnological applications.
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Biomedical Technology, Product Development, Rapid Prototyping, Master in Mechanical Engineering, Tertiary Education
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Abstract Background: The epidemiological profile of mortality in a population is important for the institution of measures to improve health care and reduce mortality Objective: To estimate mortality rates and the proportional mortality from cardiovascular diseases and malformations of the circulatory system in children and adolescents. Methods: This is a descriptive study of mortality from cardiovascular diseases, malformations of the circulatory system, from all causes, ill-defined causes and external causes in children and adolescents in the state of Rio de Janeiro from 1996 to 2012. Populations were obtained from the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística - IBGE) and deaths obtained from the Department of Informatics of the Unified Health System (DATASUS)/Ministry of Health. Results: There were 115,728 deaths from all causes, 69,757 in males. The annual mortality from cardiovascular diseases was 2.7/100,000 in men and 2.6/100,000 in women. The annual mortality from malformations of the circulatory system was 7.5/100,000 in men and 6.6/100,000 in women. Among the specific causes of circulatory diseases, cardiomyopathies had the highest rates of annual proportional mortality, and from malformations of the circulatory system, it occurred due to unspecified malformations of the circulatory system, at all ages and in both genders. Conclusion: Mortality from malformations of the circulatory system was most striking in the first years of life, while cardiovascular diseases were more relevant in adolescents. Low access to prenatal diagnosis or at birth probably prevented the proper treatment of malformations of the circulatory system.
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Despite the common assumption that orthologs usually share the same function, there have been various reports of divergence between orthologs, even among species as close as mammals. The comparison of mouse and human is of special interest, because mouse is often used as a model organism to understand human biology. We review the literature on evidence for divergence between human and mouse orthologous genes, and discuss it in the context of biomedical research.
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To make full use of research data, the bioscience community needs to adopt technologies and reward mechanisms that support interoperability and promote the growth of an open 'data commoning' culture. Here we describe the prerequisites for data commoning and present an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision.
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Drug abuse is a widespread problem affecting both teenagers and adults. Nitrous oxide is becoming increasingly popular as an inhalation drug, causing harmful neurological and hematological effects. Some gas chromatography-mass spectrometry (GC-MS) methods for nitrous oxide measurement have been previously described. The main drawbacks of these methods include a lack of sensitivity for forensic applications; including an inability to quantitatively determine the concentration of gas present. The following study provides a validated method using HS-GC-MS which incorporates hydrogen sulfide as a suitable internal standard allowing the quantification of nitrous oxide. Upon analysis, sample and internal standard have similar retention times and are eluted quickly from the molecular sieve 5Å PLOT capillary column and the Porabond Q column therefore providing rapid data collection whilst preserving well defined peaks. After validation, the method has been applied to a real case of N2O intoxication indicating concentrations in a mono-intoxication.
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Therapeutic drug monitoring (TDM) aims to optimize treatments by individualizing dosage regimens based on the measurement of blood concentrations. Dosage individualization to maintain concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculations currently represent the gold standard TDM approach but require computation assistance. In recent decades computer programs have been developed to assist clinicians in this assignment. The aim of this survey was to assess and compare computer tools designed to support TDM clinical activities. The literature and the Internet were searched to identify software. All programs were tested on personal computers. Each program was scored against a standardized grid covering pharmacokinetic relevance, user friendliness, computing aspects, interfacing and storage. A weighting factor was applied to each criterion of the grid to account for its relative importance. To assess the robustness of the software, six representative clinical vignettes were processed through each of them. Altogether, 12 software tools were identified, tested and ranked, representing a comprehensive review of the available software. Numbers of drugs handled by the software vary widely (from two to 180), and eight programs offer users the possibility of adding new drug models based on population pharmacokinetic analyses. Bayesian computation to predict dosage adaptation from blood concentration (a posteriori adjustment) is performed by ten tools, while nine are also able to propose a priori dosage regimens, based only on individual patient covariates such as age, sex and bodyweight. Among those applying Bayesian calculation, MM-USC*PACK© uses the non-parametric approach. The top two programs emerging from this benchmark were MwPharm© and TCIWorks. Most other programs evaluated had good potential while being less sophisticated or less user friendly. Programs vary in complexity and might not fit all healthcare settings. Each software tool must therefore be regarded with respect to the individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Computer-assisted TDM is gaining growing interest and should further improve, especially in terms of information system interfacing, user friendliness, data storage capability and report generation.
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Nanoparticles (NPs) are being used or explored for the development of biomedical applications in diagnosis and therapy, including imaging and drug delivery. Therefore, reliable tools are needed to study the behavior of NPs in biological environment, in particular the transport of NPs across biological barriers, including the blood-brain tumor barrier (BBTB), a challenging question. Previous studies have addressed the translocation of NPs of various compositions across cell layers, mostly using only one type of cells. Using a coculture model of the human BBTB, consisting in human cerebral endothelial cells preloaded with ultrasmall superparamagnetic iron oxide nanoparticles (USPIO NPs) and unloaded human glioblastoma cells grown on each side of newly developed ultrathin permeable silicon nitride supports as a model of the human BBTB, we demonstrate for the first time the transfer of USPIO NPs from human brain-derived endothelial cells to glioblastoma cells. The reduced thickness of the permeable mechanical support compares better than commercially available polymeric supports to the thickness of the basement membrane of the cerebral vascular system. These results are the first report supporting the possibility that USPIO NPs could be directly transferred from endothelial cells to glioblastoma cells across a BBTB. Thus, the use of such ultrathin porous supports provides a new in vitro approach to study the delivery of nanotherapeutics to brain cancers. Our results also suggest a novel possibility for nanoparticles to deliver therapeutics to the brain using endothelial to neural cells transfer.
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Bone defects in revision knee arthroplasty are often located in load-bearing regions. The goal of this study was to determine whether a physiologic load could be used as an in situ osteogenic signal to the scaffolds filling the bone defects. In order to answer this question, we proposed a novel translation procedure having four steps: (1) determining the mechanical stimulus using finite element method, (2) designing an animal study to measure bone formation spatially and temporally using micro-CT imaging in the scaffold subjected to the estimated mechanical stimulus, (3) identifying bone formation parameters for the loaded and non-loaded cases appearing in a recently developed mathematical model for bone formation in the scaffold and (4) estimating the stiffness and the bone formation in the bone-scaffold construct. With this procedure, we estimated that after 3 years mechanical stimulation increases the bone volume fraction and the stiffness of scaffold by 1.5- and 2.7-fold, respectively, compared to a non-loaded situation.
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Pensado en un ámbito de tecnología médica, el propósito principal es el de realizar un seguido de medidas en diferentes partes del cuerpo para establecer unos valores máximos que nos permitan detectar cuando un paciente empieza a padecer estrés. Para ello se necesita un proceso de medición y otro de transmisión de los datos. Es aquí donde aparece el trabajo realizado en el proyecto. “ZigBee aplicado a la transmisión de datos de sensores biomédicos” está pensado para realizar la tarea de transmisión de los datos desde que el sensor realiza la medida hasta que los datos son monitorizados y almacenados. En la memoria del proyecto podremos encontrar el estudio realizado al medio de transmisión inalámbrico utilizado (ZigBee), el análisis del kit eZ430-RF2500 compatible con el medio, y finalmente la implementación del proyecto. Todo este trabajo finalizará con la recepción satisfactoria de los datos medidos por nuestro sensor biomédico (oxímetro) en el aplicativo personal programado con Visual Basic.
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This paper provides a simple theoretical framework to discuss the relationship between assisted reproductive technologies and the microeconomics of fertility choice. Individuals make choices of education and work along with decisions about whether and when to have children. Decisions regarding fertility are influenced by policy and labor market factors that affect the earnings opportunities of mothers and the costs of raising children. We show how observed differences in these economic factors across countries explain observed different fertility and childbearing age patterns. We then use the model to predict behavioral responses to biomedical improvements in assisted reproductive technologies, and hence the impact of these technologies on fertility.