Cloud Computing Domain Application in Computational Neuroscience- A Feasible Study

2016 
Over a several years digital & medicaltechnology has played a significant role in defining and reinventing techniques, medical devices, and pharmaceuticals in medical healthcare domain.Advancement in digital technologies as well as information & communication sciences (ICS) creates a wider scope in medical science more particularly in human brain research. We have to admit that human brain is a complex phenomenon to decode nonlinear activity one can use medical imaging devices to scan and understand its functional behavior. The potential & strength of computing power played a fundamental role in medical image processing. As days progresses future of medical technologies are going to be completely decentralized.Cloud computing has been introduced but aspect of application already in discussion research and clinical settings. This is why becauseeasily accessibility and reconfigurable resources such as virtual systems, platforms, and applications with low service cost. Medical practioners and researchers are moving their efforts to the cloud, because they need adequate resources to process, store, exchange, and use large quantities of medical data. In our study we are focusing on a novel application of Distributed Cloud Computing (DCC) and how it works in medical application in general brain neuroscience & imaging. The ultimate goal is to establish a strong link up with health & medical diagnosis. We are proposing distributed cloud platform together with cloud enabled data grid of human brain scan data of different brain scanners. This data grid is act like a brain consortium which help to do further research and also for medical treatment which widely accessible through web. The distributed cloud framework will spread across different geographic locations and distributed computing gives strong network to process cloud enabled data simultaneously ¶llely from different locations. In this work we are also introducing and establishing computational aspect of neuroscience from system to real brain with different brain disorders and how such data sets are formed in cloud computing. The centrality of our work is based on domain knowledge of bioengineering and how it club with computation based processing for medical healthcare to enhance research as well as speedy medical treatment of particular disorder and we also investigate how distributed cloud computing could benefit computational neuroscience.
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