CCGrid - Health 2014 - Workshop on Clusters, Clouds and Grids for Health

Medical research is currently facing the Big Data wave. High resolution digital images, genomics data, and the vast amount of medical data resources on-line (medical reports, clinical tests, biology samples, large amounts of structured and unstructured text data...) lead to an unprecedented demand for large-scale data management and analysis. This new situation demands appropriate IT-infrastructures, where medical data can be processed within an acceptable timespan ? reaching from minutes in health-care applications to days in large-scale research projects. Large-scale distributed IT-systems such as Grids, Clouds and Big-Data-Environments are promising to address clinical and medical research community requirements. They allow for significant reduction of computational time for running large experiments, for speeding-up the development time for new algorithms, for increasing the availability of new methods for the research community, and for supporting large-scale multi-centric collaborations.
However, specific challenges in the employment of such systems for medical applications such as security, reliability and user-friendliness, often impede straightforward adoption of existing solutions from other application domains.
This workshop aims at bringing together developers of medical applications and researchers in the field of distributed IT systems. On the one hand, it addresses researchers who are already employing distributed infrastructure techniques in medical applications, in particular scientists developing data- and compute-intensive medical applications that include multi-data studies, large-scale parameter scans or complex analysis pipelines. On the other hand, it addresses computer scientists working in the field of distributed systems interested in bringing new developments into medical applications.
The goals are to exchange and discuss existing solutions and latest developments in both fields, and to gather an overview of challenges (technologies, achievements, gaps, roadblocks). The workshop further intends to identify common requirements to lead future developments in collaboration between Health and Computing Sciences, and to collaboratively explore new ideas and approaches to successfully apply distributed IT-systems in translational research, clinical intervention, and decision-making.
Topics of Interest
Contributions are expected but not restricted to the following topics:
Detailed application use-cases highlighting achievements and roadblocks
Exploitation of distributed IT resources for HealthCare and research applications, for example medical imaging, disease modeling, bioinformatics, Public health informatics, drug discovery, clinical trials
Service and/or algorithm design and implementation applicable to medical applications
Error handling and fault tolerance
Distributed and heterogeneous medical data management
Big Medical Data applications and solutions
Data privacy, security and access control
Development environments for distributed applications
Scientific gateways and user environments targeting distributed medical applications
Dedicated distributed infrastructures and HPC systems
Interoperability for exchanging data, algorithms and analysis pipelines
Success stories and show stoppers
Submission Guidelines
Authors are asked to prepare their manuscripts according to the IEEE format for conference proceedings.
LaTeX Package .zip Word Template .doc Sample PDF .pdf
The maximum number of pages is 10 (letter size).
The initial submission needs to be in pdf format.
Manuscripts must be submitted to the submission online system EasyChair no later than the indicated submission deadline. Please register for an account as author if you do not already have one. If you cannot access the submission website or have difficulties completing your submission, please contact the organization committee for assistance.
All papers will be reviewed by at least 3 independent reviewers from the international program committee. Papers will be selected based on their originality, their interest for the research community, the quality of the use-case description, the description of the technical solution, the impact of the application and/or technical description and the status of the work.
Selected papers will be presented at the workshop and published in the CCGrid conference proceedings.
Programme Committee
Daniele D’Agostino, Institute for Applied Mathematics and Information Technologies, Genova, Italy
Christian Barillot, CNRS / IRISA, France
Ignacio Blanquer, Universidad Politecnica de Valencia, Spain
Steve Brewer, University of Southampton, UK
Ian Cointepas, CEA, France
Scott Emrich, University of Notre Dame, IN, USA
Alban Gaignard, CNRS, France
Sandra Gesing, U. Notre Dame, IN, USA
Tristan Glatard, CNRS, France
Aaron Golden, A. Einstein College of Medicine, NY, USA
Ron Kikinis, Harvard Medical School, USA
Dagmar Krefting, University of Applied Sciences Berlin, Germany
Jens Krüger, University of Tübingen, Germany Shantenu Jha, Rutgers School of Engineering, USA
Yannick Legré, CNRS, France
Ivan Merelli, Institute for Biomedical Technologies, Milano, Italy
Luciano Milanesi, Institute of Biomedical Technologies, Segrate, Italy
Johan Montagnat, CNRS/I3S, France
Ralph Müller-Pfefferkorn, TU-Dresden, Germany
Jarek Nabrzyski, University of Notre Dame, IN, USA
Silvia Olabarriaga, AMC / University of Amsterdam, Netherlands
Horacio Pérez-Sánchez, Catholic University of Murcia (UCAM), Murcia, Spain
Richard Sinnott, University of Melbourne, Australia
Jonathan Silverstein, CCRI, NorthShore University HealthSystem, USA
Tony Solomonides, CCRI, NorthShore University HealthSystem, USA
James Taylor, Emory University, USA