CBMS 2009 - IEEE CBMS 2009: Healthgrid Computing - Applications to Biomedical Research and Healthcare

Bioinformatics, genomics, proteomics and medical image analysis are emerging methods in health care. Navigating between phenotype and genotype means that clinical data and genetic assessment need to be integrated in patient investigations. What is missing today is:

full integration of these methods and technologies that enhance all phases of health care, including diagnosis, prognosis, etc.;
dissemination of such methods in clinical practice, whenever they are developed, deployed and maintained in order to positively impact patient outcomes.
Such a vision requires the design and implementation of computer tools, methods and platforms for seamless biomedical data and bioinformatics tools integration.
Main issues to realize such a vision are:

Integration of multiple laboratories collecting genomics and post-genomics data, so that biology or bioinformatics research laboratories:
can continue to maintain their own biological, biomedical and computing resources autonomously;
can face effectively the growth of data they need to manage and process exploiting recent algorithms such as data mining taking into account that biomedical data are produced and stored continuously;
Provision of large computing power especially in areas such as:
the medical image processing community that is facing a growing need to analyse 2D, 3D and 4D images in order to realistically simulate medical treatments or surgery (radiotherapy, plastic surgery, etc.), and to develop computer aided surgery;
integration of results and easy access by physicians to all of their patients¡¯ medical data anytime, anywhere.
The Grid paradigm offers CPU and data handling capabilities, and allows users and laboratories to share their facilities (computing and data storage resources, instruments, software, knowledge, etc.) through high bandwidth networks between dynamically formed Virtual Organizations.
Healthgrid computing can be a solution for the deployment of Grids in medical research centres, taking into account that it has been very limited, until now, for a number of reasons. Cost, both in terms of infrastructure and manpower, is a significant barrier.
To face the complexity of novel, cooperative, distributed Health and Bioinformatics applications, new specialized Grid services have to be developed. Such services, integrated in a framework called Problem Solving Environment, allow deploying applications in a distributed way and carrying out complex ¡°in silico¡± simulations by composing single bio-applications into manageable workflows. In such a way Grids can be deployed to address the needs of the biomedical community.

The main goal of the Conference Track is to discuss well-known and emerging bio data-intensive systems in the context of Grids, and to analyse technologies and methodologies useful to develop such systems in these environments.



TOPICS OF INTEREST include, but are not limited to:

Grid Infrastructures for Biomedical Data Analysis and Management
Problem Solving Environments for Biomedical and Bioinformatics Applications
Grid-based applications in the life sciences
Workflow application for complex analysis processes
High throughput for in-silico virtual screening
Grid Computing Infrastructures, Middleware and Tools for Healthcare
Grid Computing Biomedical Services
Collaboration Technologies
Databases and the Grid in the Biomedical Field
Extracting Knowledge from Biomedical Data Grids
Data Grids for Bioinformatics
Grid Architectures for Interactive Biomedical Applications
Grid Architectures and Solutions for Data-Intensive Biomedical Applications
Grid-based Biomedical Informatics Interoperability
Security in Biomedical Data Grids
Semantic Grids for Multimedia Biomedical Data
Ubiquitous Access to Grid-enabled Applications in Biomedicine
High-performance Computing for Data-Centric Biomedical Applications
Grid-based Visualization of Biomedical Data
Integration of Grid-enabled Applications into Clinical Practice

IMPORTANT DATES

April 1, 2009 Paper Submission due

May 25, 2009
Notification of acceptance

June 21, 2009 Final camera-ready paper due

June 21, 2009
Pre-registration deadline


SUBMISSION PROCEDURES FOR PAPER
We invite original previously unpublished contributions that are not submitted concurrently to a journal or another conference. Unlike workshops, where position papers and reports on initial and intended work are appropriate, papers selected for a Special Track should report on significant unpublished work suitable for publication as a conference paper.

Each contribution must be prepared following the IEEE 2-column format and should not exceed the length of 6 (six) Letter-size pages and submitted electronically before the paper submission deadline. All submissions including special track papers will be done electronically via the CBMS web submission system, which will be open approximately one month before the deadline. Prospective authors should choose the track: Healthgrid Computing - Applications to Biomedical Research and Healthcare title when submitting a paper.

All submissions will be peer-reviewed by at least three reviewers of the Special Track Program Committee. All accepted papers will be included in the conference proceedings published by IEEE CS Press. At least one author must pay the registration fee before June 21, 2009 for each accepted paper.

Please consult http://cvial.ee.ttu.edu/cbms2009 for further information.



TRACK CHAIRS

Giovanni Aloisio University of Salento, Lecce, Italy & SPACI Consortium

Maria Mirto University of Salento, Lecce, Italy & SPACI Consortium

Almerico Murli University of Naples, Italy & SPACI Consortium
Tony Solomonides University of the West of England, UK
Alfredo Tirado-Ramos University of Amsterdam, The Netherlands


TRACK PROGRAM COMMITTEE

Dave S. Angulo DePaul University, USA


Robert G. Belleman University of Amsterdam, The Netherlands


Christian Barillot Campus de Beaulieu, 35042 Rennes Cedex, France


Vincent Breton CNRS/IN2P3, LPC Clermont-Ferrand, France


Marian Bubak AGH Krakow PL / UvA Amsterdam NL


Mario Cannataro University "Magna Graecia" of Catanzaro, Italy


Rita Casadio Biocomputing Lab, University of Bologna, Italy


Carole Goble University of Manchester, UK


Vicente Hernandez Universidad Politecnica de Valencia


Dieter Kranzlmueller Ludwig-Maximilian University Munich & Leibniz Supercomputing Centre, Germany


Mary Kratz University of Michigan Medical School Information Services, USA


Giuliano Laccetti University of Naples "Federico II", Italy


Yannick Legre CNRS/IN2P3 France


Johan Montagnat CNRS (I3S laboratory), France


Silvia D. Olabarriaga Academic Medical Center (AMC) of the University of Amsterdam, NL


Cecilia Saccone ITB/CNR Institute of Biomedical Technologies of Bari, Italy


Jonathan Silverstein Computation Institute of the University of Chicago, USA


Richard Sinnott National e-Science Centre, Glasgow, UK


Peter M.A. Sloot University of Amsterdam, The Netherlands


David W. Walker Cardiff Univ., UK


Albert Zomaya University of Sydney, Australia