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1.
J Indian Soc Pedod Prev Dent ; 38(3): 266-273, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33004725

RESUMO

Aim: This longitudinal, observational study was conducted in the schools of Yamunanagar, Haryana, to evaluate and compare the predictive value of formal type of caries risk assessment using reduced Cariogram software, including only seven factors and informal type among 8-9 years' school-going children. Methods: A.total of 111 school-going children were included in the study. Risk profile for each child was created using cariogram as well as informal factors. The same children were scheduled for re-examination at an interval of 9 and 18 months. The caries status was recorded again using the Collapsed International Caries Detection and Assessment System (ICDAS) concept. Statistical Analysis: The precoded data were transferred to the computer and analyzed using the SPSS software (version 17.0). Data were analyzed for the identification of children with lesion progression and numbers of lesions progressing using the Transition Scoring System. Results: Cariogram being a multifactorial model gives significant individual weightage to each etiological factor causing dental caries as compared to informal caries risk assessment which though easy to implement yet unstructured unlike cariogram and thus does not guarantee consistent implementation. Conclusion: Cariogram is a perfect option for patient motivation and supports the clinician in decision making for planning preventive strategies for the patients. Along with this, a combination of the factors for informal caries risk assessment can help in making a simple yet multifactorial model which can be applied in daily practice.


Assuntos
Cárie Dentária/diagnóstico , Criança , Humanos , Medição de Risco , Instituições Acadêmicas , Software
2.
BMC Bioinformatics ; 21(1): 431, 2020 Oct 02.
Artigo em Inglês | MEDLINE | ID: mdl-33008363

RESUMO

BACKGROUND: This paper describes a web based tool that uses a combination of sonification and an animated display to inquire into the SARS-CoV-2 genome. The audio data is generated in real time from a variety of RNA motifs that are known to be important in the functioning of RNA. Additionally, metadata relating to RNA translation and transcription has been used to shape the auditory and visual displays. Together these tools provide a unique approach to further understand the metabolism of the viral RNA genome. This audio provides a further means to represent the function of the RNA in addition to traditional written and visual approaches. RESULTS: Sonification of the SARS-CoV-2 genomic RNA sequence results in a complex auditory stream composed of up to 12 individual audio tracks. Each auditory motive is derived from the actual RNA sequence or from metadata. This approach has been used to represent transcription or translation of the viral RNA genome. The display highlights the real-time interaction of functional RNA elements. The sonification of codons derived from all three reading frames of the viral RNA sequence in combination with sonified metadata provide the framework for this display. Functional RNA motifs such as transcription regulatory sequences and stem loop regions have also been sonified. Using the tool, audio can be generated in real-time from either genomic or sub-genomic representations of the RNA. Given the large size of the viral genome, a collection of interactive buttons has been provided to navigate to regions of interest, such as cleavage regions in the polyprotein, untranslated regions or each gene. These tools are available through an internet browser and the user can interact with the data display in real time. CONCLUSION: The auditory display in combination with real-time animation of the process of translation and transcription provide a unique insight into the large body of evidence describing the metabolism of the RNA genome. Furthermore, the tool has been used as an algorithmic based audio generator. These audio tracks can be listened to by the general community without reference to the visual display to encourage further inquiry into the science.


Assuntos
Betacoronavirus/genética , Genoma Viral , Software , Betacoronavirus/isolamento & purificação , Infecções por Coronavirus/patologia , Infecções por Coronavirus/virologia , Genômica , Humanos , Fases de Leitura Aberta/genética , Pandemias , Pneumonia Viral/patologia , Pneumonia Viral/virologia , RNA Viral/química , RNA Viral/genética , RNA Viral/metabolismo
3.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 1335-1338, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018235

RESUMO

Lung cancer is considered the deadliest cancer worldwide. In order to detect it, radiologists need to inspect multiple Computed Tomography (CT) scans. This task is tedious and time consuming. In recent years, promising methods based on deep learning object detection algorithms were proposed for the automatic nodule detection and classification. With those techniques, Computed Aided Detection (CAD) software can be developed to alleviate radiologist's burden and help speed-up the screening process. However, among available object detection frameworks, there are just a limited number that have been used for this purpose. Moreover, it can be challenging to know which one to choose as a baseline for the development of a new application for this task. Hence, in this work we propose a benchmark of recent state-of-the-art deep learning detectors such as Faster-RCNN, YOLO, SSD, RetinaNet and EfficientDet in the challenging task of pulmonary nodule detection. Evaluation is done using automatically segmented 2D images extracted from volumetric chest CT scans.


Assuntos
Aprendizado Profundo , Neoplasias Pulmonares , Algoritmos , Humanos , Neoplasias Pulmonares/diagnóstico , Software , Tomografia Computadorizada por Raios X
4.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 1485-1488, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018272

RESUMO

The susceptibility-based positive contrast MR technique was applied to estimate arbitrary magnetic susceptibility distributions of the metallic devices using a kernel deconvolution algorithm with a regularized L-1 minimization. Previously, the first-order primal-dual (PD) algorithm could provide a faster reconstruction time to solve the L-1 minimization, compared with other methods. Here, we propose to accelerate the PD algorithm of the positive contrast image using the multi-core multi-thread feature of graphics processor units (GPUs). The some experimental results showed that the GPU-based PD algorithm could achieve comparable accuracy of the metallic interventional devices in positive contrast imaging with less computational time. And the GPU-based PD approach was 4~15 times faster than the previous CPU-based scheme.Clinical Relevance-This can estimate arbitrary magnetic susceptibility distributions of the metallic devices with the processing efficacy of 4~15 times faster than before.


Assuntos
Algoritmos , Meios de Contraste , Imagem por Ressonância Magnética , Software
5.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 1903-1906, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018373

RESUMO

Tuberculosis (TB) is one of the top 10 causes of death worldwide. The diagnosis and treatment of TB in its early stages is fundamental to reducing the rate of people affected by this disease. In order to assist specialists in the diagnosis in bright field smear images, many studies have been developed for the automatic Mycobacterium tuberculosis detection, the causative agent of Tb. To contribute to this theme, a method to bacilli detection associating convolutional neural network (CNN) and a mosaic-image approach was implemented. The propose was evaluated using a robust image dataset validated by three specialists. Three CNN architectures and 3 optimization methods in each architecture were evaluated. The deeper architecture presented better results, reaching accuracies values above 99%. Other metrics like precision, sensitivity, specificity and F1-score were also used to assess the CNN models performance.


Assuntos
Bacillus , Microscopia , Redes Neurais de Computação , Sensibilidade e Especificidade , Software
6.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 2274-2278, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018461

RESUMO

We have refactored the Pulse Physiology Engine respiratory software with enhanced parameterization for improved simulation functionality and results. Realistic patient variability can be applied using discretized lumped-parameters that define lung volumes, compliances, and resistances. A new sigmoid compliance waveform helps meet validation of compartment pressures, flows, volumes, and substance values. Further parameterization and enhanced logic for the application of pathophysiology allows for more accurate modeling of both restrictive and obstructive diseases for mild, moderate, and severe cases.Clinical Relevance- This free and open model provides a well-validated respiratory system for integration with medical simulations and research. It improves the Pulse modeling software and allows for new, low-cost training and in silico testing use-cases. Applications include virtual/augmented environments, manikin-based simulations, and clinical explorations.


Assuntos
Pulmão , Software , Simulação por Computador , Humanos , Manequins , Volume de Ventilação Pulmonar
7.
Stud Health Technol Inform ; 273: 249-251, 2020 Sep 04.
Artigo em Inglês | MEDLINE | ID: mdl-33087620

RESUMO

Neuropsychological tests are tools, used by psychologists, to measure and assess the impact of cognitive impairment diseases on patients. These tests are usually run and scored by hand, and results are stored on paper files. However, over the last years, the use of computers and Information and Communications Technology have been considered facilitating those processes. As a result, today there are Neuropsychological Batteries and Computerized Assessments with enough accuracy for evaluating such tests and redesigning the way those tests are applied. This paper presents the progress of Psique, a software application that groups a set of automatized neuropsychological tests used in consultation and operating theatre, developed by students of the Universidad del Valle, with neuropsychologists from the Hospital Departamental Psiquiátrico Universitario del Valle and the Centro Médico Imbanaco.


Assuntos
Transtornos Cognitivos , Disfunção Cognitiva , Diagnóstico por Computador , Humanos , Testes Neuropsicológicos , Software
8.
Nat Commun ; 11(1): 4952, 2020 10 02.
Artigo em Inglês | MEDLINE | ID: mdl-33009368

RESUMO

We present the Danish Disease Trajectory Browser (DTB), a tool for exploring almost 25 years of data from the Danish National Patient Register. In the dataset comprising 7.2 million patients and 122 million admissions, users can identify diagnosis pairs with statistically significant directionality and combine them to linear disease trajectories. Users can search for one or more disease codes (ICD-10 classification) and explore disease progression patterns via an array of functionalities. For example, a set of linear trajectories can be merged into a disease trajectory network displaying the entire multimorbidity spectrum of a disease in a single connected graph. Using data from the Danish Register for Causes of Death mortality is also included. The tool is disease-agnostic across both rare and common diseases and is showcased by exploring multimorbidity in Down syndrome (ICD-10 code Q90) and hypertension (ICD-10 code I10). Finally, we show how search results can be customized and exported from the browser in a format of choice (i.e. JSON, PNG, JPEG and CSV).


Assuntos
Progressão da Doença , Software , Algoritmos , Dinamarca , Humanos , Fatores de Tempo
9.
Nat Commun ; 11(1): 4949, 2020 10 02.
Artigo em Inglês | MEDLINE | ID: mdl-33009388

RESUMO

Electron microscopy (EM) is widely used for studying cellular structure and network connectivity in the brain. We have built a parallel imaging pipeline using transmission electron microscopes that scales this technology, implements 24/7 continuous autonomous imaging, and enables the acquisition of petascale datasets. The suitability of this architecture for large-scale imaging was demonstrated by acquiring a volume of more than 1 mm3 of mouse neocortex, spanning four different visual areas at synaptic resolution, in less than 6 months. Over 26,500 ultrathin tissue sections from the same block were imaged, yielding a dataset of more than 2 petabytes. The combined burst acquisition rate of the pipeline is 3 Gpixel per sec and the net rate is 600 Mpixel per sec with six microscopes running in parallel. This work demonstrates the feasibility of acquiring EM datasets at the scale of cortical microcircuits in multiple brain regions and species.


Assuntos
Processamento de Imagem Assistida por Computador , Microscopia Eletrônica de Transmissão , Rede Nervosa/ultraestrutura , Neurônios/ultraestrutura , Animais , Automação , Camundongos , Neocórtex/diagnóstico por imagem , Software
10.
RECIIS (Online) ; 14(3): 529-545, jul.-set. 2020. ilus
Artigo em Português | LILACS | ID: biblio-1121409

RESUMO

Em busca de uma solução para compreender as razões pelas quais alguns recursos presentes em websites não são possíveis de serem arquivados pelas ferramentas de captura, surgiu o conceito de arquivabilidade da web. Apresentamos este estudo que propõe iniciar uma discussão acerca do tema, a partir do método CLEAR+ e da ferramenta ArchiveReady, e verificar sua aplicabilidade a partir da identificação de websites da área da saúde, com testes de preservação digital por meio do arquivamento da web. A pesquisa configurou-se como estudo de caso, com procedimentos envolvendo pesquisa bibliográfica e documental, bem como o uso de software para identificar arquivabilidade dos sites. Conclui-se que tanto os testes de arquivabilidade quanto os de arquivamento da web apontam para poucas dificuldades de captura, em pequeno grau, sugerindo-se, portanto, que para atingir uma melhor qualidade de captura sejam adotados padrões de conformidade na produção dos websites, de acordo com o estabelecido pelo World Wide Web Consortium.


In search for a solution to understand the reasons why some resources present on websites are not possible to be archived by capture tools, we approach the concept of web archivability. We present this study that proposes to initiate a discussion about the evaluation of the archivability, using the CLEAR+ method and the ArchiveReady, and to verify their applicability from the identification of websites in the health studies, with digital preservation tests through the web archiving. The research was configured as a case study, with procedures involving bibliographic and documentary research, as well as the use of software to identify the archivability of the sites. It is concluded that both archivability tests and web archiving tests point to little capture difficulties, to a small degree, therefore suggesting that to achieve better capture quality, compliance standards should be adopted in the production of websites, according to what is established by the World Wide Web Consortium.


En la búsqueda de una solución para comprender las razones por las cuales las herramientas de captura no pueden archivar algunos recursos presentes en sitios web, abordamos el concepto de archivabilidad de la web. Presentamos este estudio que propone iniciar una discusión sobre la evaluación de la archivabilidad de los sitios web, utilizando el método CLEAR+ y la herramienta ArchiveReady, y verificar su aplicabilidad a partir de la identificación de sitios web en los estudios de salud, con pruebas de preservación digital a través del archivo web. La investigación se configuró como un estudio de caso, con procedimientos que implican investigación bibliográfica y documental, así como el uso de software para identificar la capacidad de archivo de los sitios. Se concluye que tanto las pruebas de archivabilidad como las pruebas de archivo web apuntan a pequeñas dificultades de captura, en un pequeño grado, lo que sugiere que para lograr una mejor calidad de captura, se deben adoptar estándares de cumplimiento en la producción de sitios web de acuerdo con lo establecido por el World Wide Consorcio Web.


Assuntos
Humanos , Software , Arquivamento , Gestão da Informação em Saúde , Metadados , e-Acessibilidade , Gestão da Informação , Gestão da Qualidade , Competência em Informação
11.
Clin Interv Aging ; 15: 1427-1437, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32884251

RESUMO

Purpose: Demographic change and lack of specialized workforces are challenging. Likewise, home visits by general practitioners (GPs) become rarer. If a nursing home resident develops acute symptoms, nurses are often inclined to call the rescue service. Besides patient-related consequences, this might lead to unnecessary hospitalization and far-reaching health economic costs. Due to legal restrictions of remote treatment in Germany, which were recently loosened, telemedicine is still in the early stages. The aim of this study was to employ a holistic telemedical system for nursing homes which facilitates the connection to a GP and thus avoids unnecessary hospitalizations in the case of ambulatory-sensitive illnesses. Materials and Methods: After an inter-professional requirement analysis, the iterative development was started. In addition to an audio-video connection, several point of care measurements were integrated. Finally, first field tests were performed in a nursing home in a rural area in Germany. Results: One nursing home was equipped with telemedical system based on the results of the requirement analysis and tele-medically connected to a GP. Over a period of seven months, 56 routine and emergency teleconsultations took place. Only one of those required a hospital admission. In addition to video telephony, electrocardiography and assessment of vitals such as pulse, blood pressure, oxygen saturation and auscultation of heart and lungs were applied frequently. Conclusion: A telemedical system including integrated medical devices was successfully developed and has turned out to be helpful and even necessary for careful and reliable decision-making by the GP. First test results show high acceptance for elderly care. Involved patients, nurses, and the GP itemize various specific benefits, including economic, personal, and altruistic issues. Another issue that the current COVID-19 crisis brought to light is lowering the risk of contagion; GPs can replace their home visits by using telepresence combined with point of care measures.


Assuntos
Infecções por Coronavirus , Medicina Geral/métodos , Casas de Saúde , Pandemias , Pneumonia Viral , Consulta Remota/métodos , Consulta Remota/organização & administração , Idoso , Betacoronavirus , Infecções por Coronavirus/prevenção & controle , Feminino , Alemanha , Hospitalização/estatística & dados numéricos , Humanos , Masculino , Pandemias/prevenção & controle , Pneumonia Viral/prevenção & controle , Consulta Remota/instrumentação , Software , Inquéritos e Questionários
12.
F1000Res ; 92020.
Artigo em Inglês | MEDLINE | ID: mdl-32489650

RESUMO

GTF (Gene Transfer Format) and GFF (General Feature Format) are popular file formats used by bioinformatics programs to represent and exchange information about various genomic features, such as gene and transcript locations and structure. GffRead and GffCompare are open source programs that provide extensive and efficient solutions to manipulate files in a GTF or GFF format. While GffRead can convert, sort, filter, transform, or cluster genomic features, GffCompare can be used to compare and merge different gene annotations. Availability and implementation: GFF utilities are implemented in C++ for Linux and OS X and released as open source under an MIT license  ( https://github.com/gpertea/gffread, https://github.com/gpertea/gffcompare).


Assuntos
Biologia Computacional , Genômica , Software , Genoma , Anotação de Sequência Molecular
13.
PLoS Comput Biol ; 16(9): e1008195, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32898151

RESUMO

We present VALERIE (Visualising alternative splicing events from single-cell ribonucleic acid-sequencing experiments), an R package for visualising alternative splicing events at single-cell resolution. To explore any given specified genomic region, corresponding to an alternative splicing event, VALERIE generates an ensemble of informative plots to visualise cell-to-cell heterogeneity of alternative splicing profiles across single cells and performs statistical tests to compare percent spliced-in (PSI) values across the user-defined groups of cells. Among the features available, VALERIE displays PSI values, in lieu of read coverage, which is more suitable for representing alternative splicing profiles for a large number of samples typically generated by single-cell RNA-sequencing experiments. VALERIE is available on the Comprehensive R Archive Network (CRAN): https://cran.r-project.org/web/packages/VALERIE/index.html.


Assuntos
Processamento Alternativo/genética , Análise de Sequência de RNA/métodos , Análise de Célula Única/métodos , Software , Animais , Células Cultivadas , Biologia Computacional , Camundongos
14.
PLoS Comput Biol ; 16(9): e1008205, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32903255

RESUMO

Single-cell RNA sequencing (scRNA-seq) can map cell types, states and transitions during dynamic biological processes such as tissue development and regeneration. Many trajectory inference methods have been developed to order cells by their progression through a dynamic process. However, when time series data is available, most of these methods do not consider the available time information when ordering cells and are instead designed to work only on a single scRNA-seq data snapshot. We present Tempora, a novel cell trajectory inference method that orders cells using time information from time-series scRNA-seq data. In performance comparison tests, Tempora inferred known developmental lineages from three diverse tissue development time series data sets, beating state of the art methods in accuracy and speed. Tempora works at the level of cell clusters (types) and uses biological pathway information to help identify cell type relationships. This approach increases gene expression signal from single cells, processing speed, and interpretability of the inferred trajectory. Our results demonstrate the utility of a combination of time and pathway information to supervise trajectory inference for scRNA-seq based analysis.


Assuntos
Biologia Computacional/métodos , Perfilação da Expressão Gênica/métodos , Análise de Sequência de RNA/métodos , Análise de Célula Única/métodos , Software , Algoritmos , Animais , Células Cultivadas , Humanos , Camundongos , Mioblastos/metabolismo , RNA/genética , RNA/metabolismo , Reprodutibilidade dos Testes
15.
PLoS Comput Biol ; 16(9): e1008193, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32925919

RESUMO

Segmenting cell nuclei within microscopy images is a ubiquitous task in biological research and clinical applications. Unfortunately, segmenting low-contrast overlapping objects that may be tightly packed is a major bottleneck in standard deep learning-based models. We report a Nuclear Segmentation Tool (NuSeT) based on deep learning that accurately segments nuclei across multiple types of fluorescence imaging data. Using a hybrid network consisting of U-Net and Region Proposal Networks (RPN), followed by a watershed step, we have achieved superior performance in detecting and delineating nuclear boundaries in 2D and 3D images of varying complexities. By using foreground normalization and additional training on synthetic images containing non-cellular artifacts, NuSeT improves nuclear detection and reduces false positives. NuSeT addresses common challenges in nuclear segmentation such as variability in nuclear signal and shape, limited training sample size, and sample preparation artifacts. Compared to other segmentation models, NuSeT consistently fares better in generating accurate segmentation masks and assigning boundaries for touching nuclei.


Assuntos
Núcleo Celular/fisiologia , Aprendizado Profundo , Processamento de Imagem Assistida por Computador/métodos , Microscopia/métodos , Algoritmos , Artefatos , Biologia Computacional , Células HeLa , Humanos , Software
16.
PLoS Comput Biol ; 16(9): e1008194, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32936799

RESUMO

CRISPR screens are a powerful technology for the identification of genome sequences that affect cellular phenotypes such as gene expression, survival, and proliferation. By targeting non-coding sequences for perturbation, CRISPR screens have the potential to systematically discover novel functional sequences, however, a lack of purpose-built analysis tools limits the effectiveness of this approach. Here we describe RELICS, a Bayesian hierarchical model for the discovery of functional sequences from CRISPR screens. RELICS specifically addresses many of the challenges of non-coding CRISPR screens such as the unknown locations of functional sequences, overdispersion in the observed single guide RNA counts, and the need to combine information across multiple pools in an experiment. RELICS outperforms existing methods with higher precision, higher recall, and finer-resolution predictions on simulated datasets. We apply RELICS to published CRISPR interference and CRISPR activation screens to predict and experimentally validate novel regulatory sequences that are missed by other analysis methods. In summary, RELICS is a powerful new analysis method for CRISPR screens that enables the discovery of functional sequences with unprecedented resolution and accuracy.


Assuntos
Sistemas CRISPR-Cas/genética , Genômica/métodos , Análise de Sequência de DNA/métodos , Software , Teorema de Bayes , Humanos , Células Jurkat , RNA Guia/genética
17.
J Xray Sci Technol ; 28(5): 863-873, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32925165

RESUMO

OBJECTIVES: This study aims to trace the dynamic lung changes of coronavirus disease 2019 (COVID-19) using computed tomography (CT) images by a quantitative method. METHODS: In this retrospective study, 28 confirmed COVID-19 cases with 145 CT scans are collected. The lesions are detected automatically and the parameters including lesion volume (LeV/mL), lesion percentage to lung volume (LeV%), mean lesion density (MLeD/HU), low attenuation area lower than - 400HU (LAA-400%), and lesion weight (LM/mL*HU) are computed for quantification. The dynamic changes of lungs are traced from the day of initial symptoms to the day of discharge. The lesion distribution among the five lobes and the dynamic changes in each lobe are also analyzed. RESULTS: LeV%, MLeD, and LM reach peaks on days 9, 6 and 8, followed by a decrease trend in the next two weeks. LAA-400% (mostly the ground glass opacity) declines to the lowest on days 4-5, and then increases. The lesion is mostly seen in the bilateral lower lobes, followed by the left upper lobe, right upper lobe and right middle lobe (p < 0.05). The right middle lobe is the earliest one (on days 6-7), while the right lower lobe is the latest one (on days 9-10) that reaches to peak among the five lobes. CONCLUSIONS: Severity of COVID-19 increases from the day of initial symptoms, reaches to the peak around on day 8, and then decreases. Lesion is more commonly seen in the bilateral lower lobes.


Assuntos
Infecções por Coronavirus/diagnóstico por imagem , Infecções por Coronavirus/patologia , Pneumonia Viral/diagnóstico por imagem , Pneumonia Viral/patologia , Tomografia Computadorizada por Raios X/métodos , Adulto , Betacoronavirus , Feminino , Humanos , Pulmão/diagnóstico por imagem , Pulmão/patologia , Masculino , Pessoa de Meia-Idade , Pandemias , Estudos Retrospectivos , Software
18.
F1000Res ; 9: 570, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32884676

RESUMO

The 2019-2020 global pandemic has been caused by a disease called coronavirus disease 2019 (COVID-19). This disease has been caused by the Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2). By April 30 2020, the World Health Organization reported 3,096,626 cases and 217,896 deaths, which implies an exponential growth for infection and deaths worldwide. Currently, there are various computer-based approaches that present COVID-19 data through different types of charts, which is very useful to recognise its behavior and trends. Nevertheless, such approaches do not allow for observation of any projection regarding confirmed cases and deaths, which would be useful to understand the trends of COVID-19. In this work, we have designed and developed an online dashboard that presents actual information about COVID-19. Furthermore, based on this information, we have designed a mathematical model in order to make projections about the evolution of cases and deaths worldwide and by country.


Assuntos
Infecções por Coronavirus/mortalidade , Análise de Dados , Pneumonia Viral/mortalidade , Software , Betacoronavirus , Humanos , Internet , Modelos Teóricos , Pandemias
19.
Quintessence Int ; 51(9): 776-779, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32901238

RESUMO

Virtual planning in digital dentistry enables easier communication between technicians, clinicians, and patients, and faster performance. Dental computer-aided design (CAD) software programs have been used for this purpose. One of the most crucial steps in virtual planning is mounting and articulating the maxillary and mandibular arch 3D models to simulate and evaluate the occlusion as a part of the virtual mock-up. The aim of this article was to describe a more cost-effective digital technique utilizing a scanned interocclusal record for articulating the cast models virtually. For this purpose, the open source Autodesk Meshmixer software program was used.


Assuntos
Modelos Dentários , Fluxo de Trabalho , Desenho Assistido por Computador , Humanos , Maxila , Software
20.
Artigo em Japonês | MEDLINE | ID: mdl-32963139

RESUMO

It is necessary to verify an intensity-modulated radiation therapy (IMRT) plan and to confirm dose error within the tolerance, in order to perform it securely and precisely. IMRT with dynamic multi-leaf collimator (DMLC) requires high DMLC position accuracy. The DMLC position accuracy analysis software DynaLog File Viewer (DFV; Varian Medical Systems, Palo Alto, CA, USA) is used to analyze position errors of DMLC for IMRT plans. We analyzed correlation between DMLC parameters and position error of DMLC obtained from DFV in prostate IMRT. A regression analysis of the position error and the DMLC parameters was performed. As a result, a strong correlation was found between MLC position error and each of the DMLC parameters: leaf speed, gap width, and segment monitor unit (MU). We found the factors for the DMLC position error in this study. DMLC position error could be estimated from leaf speed, gap width, and segment MU when we analyze IMRT cases in the further study.


Assuntos
Radioterapia de Intensidade Modulada , Masculino , Próstata , Dosagem Radioterapêutica , Planejamento da Radioterapia Assistida por Computador , Software
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