scholarly journals Data analysis and documentation of statistics in biomedical research papers in Albania

2018 ◽  
Vol 1 (1) ◽  
Keyword(s):  
Data Analysis ◽  
Biomedical Research ◽  
Research Papers

Big Data Analysis for Cardiovascular Diseases

2018 ◽  
pp. 102-119
Author(s):  
Miguel A. Sánchez-Acevedo ◽  
Zaydi A. Acosta-Chí ◽  
Beatriz A. Sabino-Moxo ◽  
José A. Márquez-Domínguez ◽  
Rosa M. Canton-Croda
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Medical Devices ◽  
Clinical Analysis ◽  
Big Data Analysis ◽  
Health Issues ◽  
Research Papers ◽  
Healthcare Data ◽  
Common Risk Factors ◽  
The Common

In the healthcare field, plenty of clinical data is generated every day from patient records, surveys, research papers, medical devices, among others sources. These data can be exploited to discover new insights about health issues. For helping decision makers and healthcare data managers, a survey of research works and tools covering the process of handling big data in the healthcare field is included. A methodology for CVD prevention, detection and management through the use of tools for big data analysis is proposed. Also, it is important to maintain privacy of patients when handling healthcare data; therefore, a list of recommendations for maintaining privacy when handling healthcare data is presented. Specific clinical analysis are recommended on those regions where the incidence rate of CVD is high, but a weak relation with the common risk factors is observed according to historical data. Finally, challenges which need to be addressed are presented.

scholarly journals Erratum: Annual tendency of research papers used ICR mice as experimental animals in biomedical research fields

2017 ◽  
Vol 33 (4) ◽  
pp. 320
Author(s):  
Ji Eun Kim ◽  
Jung Hoon Nam ◽  
Joon Young Cho ◽  
Kil Soo Kim ◽  
Dae Youn Hwang
Keyword(s):  
Biomedical Research ◽  
Research Papers ◽  
Experimental Animals ◽  
Icr Mice ◽  
Research Fields

scholarly journals Disruptive Technologies for Efficient and Sustainable Smart Cities

2021 ◽  
pp. 47-64
Author(s):  
Dipak S. Gade
Keyword(s):  
Data Analysis ◽  
Smart Cities ◽  
Rapid Development ◽  
Real Life ◽  
Research Area ◽  
Future Research ◽  
Research Papers ◽  
Digital Twins ◽  
New Findings ◽  
Operations And Maintenance

Purpose: The most active and rapid development in today's world is happening in Smart cities. Smart Cities are changing very fast in every aspect, be it development, operations, and or maintenance points of view. Today's Smart Cities are aiming to be at an advanced stage of urbanization and fully exploiting digital infrastructure for rapid urban development. In order to make the cities better places to live and to offer more comfortable and enjoyable living for their residents, Smart Cities are using and employing various tools and technologies to make themselves smarter and more connected with their stakeholders using technology means. Industry 4.0, Digital Transformation, and various latest technologies such as 5G, Data Analytics, IoT, AI, and Machine Learning, Digital Twins, etc. are transforming and shaping up Smart Cities in never before style. In this paper, various such key technologies that are positively affecting Smart Cities are discussed at length. It is also highlighted in detail how these technologies are impacting Smart Cities development and operations. Finally, future research directions are also discussed in brief. Design/Methodology/Approach: Extensive exploration of available literature with research papers, conference papers, white papers, online blogs, dedicated websites, etc. on the research area and interactions with field researchers, subject matter experts, industry professionals is carried out to collect, analyse and process the collected data to find out the facts. The resulted facts and findings about the latest technologies used in Smart Cities is presented in this research paper. Findings/Result: After analysis of available literature and based on interactions with relevant stakeholders and based on own data analysis, it is identified that Smart City services are making use of various latest tools and technologies to solve their real-life challenges. Among vast list of technologies specifically IoT, Blockchain, Digital Twins, 5G, Contactless Technology, AI and ML are found the most significant and widely used technologies in Smart Cities development, operations, and maintenance activities. Originality/Value: It is found that not many research papers are available on analysis of future technologies used in Smart Cities. The data presented in this paper is genuine and original and completely based on systematic literature review, interactions with SME, Researchers and Industry experts and based on own data analysis which produced new findings. Paper Type: Technology oriented Research

scholarly journals Novel 3D imaging platform tracks cancer progression in vivo

2016 ◽  
Vol 38 (6) ◽  
pp. 12-15
Author(s):  
James McGinty ◽  
Paul French ◽  
Paul Frankel
Keyword(s):  
Data Analysis ◽  
Cancer Progression ◽  
Biomedical Research ◽  
High Speed ◽  
Optical Tomography ◽  
Thin Layers ◽  
Live Cells ◽  
Significant Advance ◽  
Light Sources

Optical imaging underpins biomedical research in many respects and recent decades have seen spectacular advances, particularly in fluorescence imaging where genetic engineering approaches to labelling have been combined with new light sources, detectors and data analysis techniques to provide capabilities like super-resolution beyond the diffraction limit, exquisite spectroscopic contrast for molecular readouts and high-speed image capture for in vivo and high-throughput applications. However, the main impact of such advanced instrumentation and data analysis has been to provide unprecedented quantitative 2D and 3D information concerning samples compatible with microscopy where volumes of less than 1 mm3 are typically imaged in a single ‘acquisition’. The ability to view and measure cellular processes and signalling pathways in live cells has been a significant advance for biomedical research and drug discovery. However, for conventional microscope-based assays and experiments, the samples typically comprise thin layers of cells that are not experiencing the same signals that they would in a 3D tissue context and any findings may not directly translate to live organisms. It is desirable to study disease processes in live intact organisms that can provide appropriate physiological complexity. For cancer studies, recent research from our group shows that optical tomography can be used to directly monitor in vivo changes in tumour growth and vascular development in a zebrafish cancer model over time. This technique not only improves the value of the collected data, but if used on a wider scale should result in a reduction in the number of animals used in biomedical research.

scholarly journals Experimental and Data Analysis Considerations for Three-Dimensional Mass Spectrometry Imaging in Biomedical Research

2020 ◽  
Author(s):  
D. R. N. Vos ◽  
S. R. Ellis ◽  
B. Balluff ◽  
R. M. A. Heeren
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Biomedical Research ◽  
Mass Spectrometry Imaging ◽  
Three Dimensional ◽  
Sample Volume ◽  
Biological Processes ◽  
Full Sample ◽  
Single Slice ◽  
Molecular Complexity

Abstract Mass spectrometry imaging (MSI) enables the visualization of molecular distributions on complex surfaces. It has been extensively used in the field of biomedical research to investigate healthy and diseased tissues. Most of the MSI studies are conducted in a 2D fashion where only a single slice of the full sample volume is investigated. However, biological processes occur within a tissue volume and would ideally be investigated as a whole to gain a more comprehensive understanding of the spatial and molecular complexity of biological samples such as tissues and cells. Mass spectrometry imaging has therefore been expanded to the 3D realm whereby molecular distributions within a 3D sample can be visualized. The benefit of investigating volumetric data has led to a quick rise in the application of single-sample 3D-MSI investigations. Several experimental and data analysis aspects need to be considered to perform successful 3D-MSI studies. In this review, we discuss these aspects as well as ongoing developments that enable 3D-MSI to be routinely applied to multi-sample studies.

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