Previous Tracks:
CBMS 2009
CBMS 2008
CBMS 2007
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CALL FOR PAPERS
One of the biggest challenges in HealthCare is the integration and analysis of disparate data coming, for instance, from genomics and proteomics experiments, as well as from clinical investigations (e.g. medical images and electronic patient records) in order to discover correlations among clinical data and genetic assessment.
Many computer tools, methods and platforms for the seamless integration of biomedical data and bioinformatics tools are already available and these need large computing power in areas such as:
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The medical image processing community that is facing a growing need to analyze 2D, 3D and 4D images in order to realistically simulate medical treatments or surgery (radiotherapy, plastic surgery, etc.), and to develop computer aided surgery;
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Integration of results and easy access by physicians to all of their patients’ medical data anytime, anywhere.
There is a tremendous potential for end-users in many fields of science, such as Bioinformatics and Biomedicine, to routinely conduct large scale computations on distributed resources by using a combination of the following technologies:
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Distributed middleware for connecting data/cluster computing centers: this includes Grid computing middleware for user’s authentication and accounting, remote job submission, resource scheduling/reservation, and data management;
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Virtualization technologies capable of providing on demand application-specific execution environments: this involves a style of computing, Cloud Computing, in which on-demand resources are provided as a service over the Internet.
HealthGrid is an environment that allows sharing of resources, in which heterogeneous and dispersed health data as well as applications can be accessed by all users as a tailored information providing system according to their authorization. However, several issues such as security and management of privacy data represent one of the biggest obstacles to adopt Grid technology as health IT.
Cloud computing is emerging as a model for enabling convenient, on demand network access to a shared pool of configurable resources that can be rapidly provisioned and released with minimal management effort or service provider interaction.
Cloud computing poses obvious challenges and opportunities for public health informatics. Among the challenges there will be an escalation of the need for secure communications and storage especially when public health data is collected and transmitted using non-healthcare infrastructure.
The main goal of the track is to exchange ideas and results related to on going grid and cloud computing research in HealthCare, with a look toward Biomedicine and Bionformatics, focusing on different aspects of middleware, technologies and applications.
For more details, have a look at
Call for Papers and Paper Submission.
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