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Informatics For Sciences: A Novel Approach
Published in Alexander V. Vakhrushev, Omari V. Mukbaniani, Heru Susanto, Chemical Technology and Informatics in Chemistry with Applications, 2019
Heru Susanto, Ching Kang Chen, Teuku Beuna Bardant
Bioinformatics make the information accessible and shared in comparison to traditional biological records where the developing tools make it easy to send, receive, and share the information. For example, electronic medical records (EMR) reduce the opportunities of error that are caused by obstruction and other researcher’s conflicts during the manual data entry process after data collection on paper. Besides that, it also supports to eliminate the manual task of extracting data from charts or filling out specified data sheets. The data stored can be obtained directly from the EMR. By referring to EMR, the researchers did not need to examine or observe the task again. Bioinformatics has grown rapidly, and divided into subdisciplines such as in chemistry named as cheminformatics and also neuroinformatics which is related to gathering data across all scales and neuroscience level to understand the complex function of brain and work toward treatments for brain-related illness and immunoinformatics, it uses informatics techniques to study molecules of the immune system.
Biochemistry apps as enabler of compound and DNA computational: next-generation computing technology
Published in A. K. Haghi, Lionello Pogliani, Eduardo A. Castro, Devrim Balköse, Omari V. Mukbaniani, Chin Hua Chia, Applied Chemistry and Chemical Engineering, 2017
Bioinformatics makes the information accessible and shareable in comparison with traditional biological records, with the help of developing tools that make it easy to send, receive, and share information. For example, electronic medical records (EMR) reduce the chances of error that are caused by obstruction and other researcher’s conflicts during the manual data entry processing after paper-based data collection. Besides that, it also supports elimination of the manual task of extracting data from charts or filling out specified data sheets. The data stored can be obtained directly from the EMR. By referring to the EMR, the researchers do not need to examine or observe the task again. Bioinformatics has grown rapidly and diversified into subdisciplines, such as cheminformatics in chemistry; neuroinformatics, which is related to gathering data across all scales and neuroscience levels to understand the complex function of brain and work toward treatments for brainrelated illness; and immunoinformatics, which uses informatics techniques to study molecules of the immune system.
Brain-Computer Music Interface, a bibliometric analysis
Published in Brain-Computer Interfaces, 2022
Héctor Fabio Torres-Cardona, Catalina Aguirre-Grisales
The following is the impact factor of the 10 most relevant journals from 2020 to 2021: Frontiers in Human Neuroscience 3169, Sensors 3576, Etri Journal 1347, Frontiers in Neuroinformatics 4081, Frontiers in Neuroscience 4677, Frontiers in Psychology 2990, IEEE Transactions on Affective Computing 10,506, Journal of Ambient Intelligence and Humanized Computing 7104, Journal of Neural Engineering 5379, and Journal of The Acoustical Society of Korea 1854. According to the above, it can be deduced that IEEE Transactions on Affective Computing is the most cited in the 2020–2021 time period.
The integrated ethics and society programme of the Human Brain Project: reflecting on an ongoing experience
Published in Journal of Responsible Innovation, 2018
Christine Aicardi, Michael Reinsborough, Nikolas Rose
Computer science was to be involved in HBP neuroscience in two ways. It was argued that to successfully analyse and derive new insights from the amount and complexity of neuroscientific data, new computational infrastructure and techniques are required (The HBP Consortium 2015, 7–8; The HBP-PS Consortium 2012, 8–9). Reciprocally, the insights of neuroscientific discoveries were expected to contribute to more efficient and effective computing, generating capabilities that can be deployed in novel ways within the economy (The HBP Consortium 2015, 7–8; The HBP-PS Consortium 2012, 8–9). The HBP’s proposal emphasised that multilevel integration of neurological knowledge was key to reaching its strategic objective for future neuroscience, which was to ‘achieve a unified, multi-level understanding of the human brain that integrates data and knowledge about the healthy and diseased brain across all levels of biological organisation, from genes to behaviour; establish in silico experimentation as a foundational methodology for understanding the brain’ (European Commission 2014, 44) through interconnected information technology (IT) platforms. The HBP would be ‘putting in place a cutting-edge research infrastructure that will allow scientific and industrial researchers to advance our knowledge in the fields of neuroscience, computing, and brain-related medicine’ (Viola 2016). The project is divided into Subprojects about half of which are focused on research and the generation of strategic data resources (Mouse Brain, Human Brain, Cognitive and Systems Neuroscience, Theoretical Neuroscience) and the other half are building the IT platforms composing the infrastructure (Neuroinformatics, Brain Simulation, High Performance Analytics and Computing, Medical Informatics, Neuromorphic Computing, and Neurorobotics). Our Foresight Lab is a part of the Ethics and Society Subproject (SP12) (The HBP Consortium 2015, 48–72).