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Call For Papers - ISMDS 2009 - Genova Italy

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  • Aaron K Baughman
    CALL FOR PAPERS -- ISMDS 2009: part of CIBB 2009 Intelligent Systems for Medical Decisions Support (ISMDS) 2009 part of Computational Intelligence Methods for
    Message 1 of 1 , May 7, 2009
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      CALL FOR PAPERS -- ISMDS 2009: part of CIBB 2009

      Intelligent Systems for Medical Decisions Support (ISMDS) 2009

      part of Computational Intelligence Methods for Bioinformatics and
      Biostatistics (CIBB) 2009

      15-17 October, 2009
      Genova Italy

      Description and Scope
      Medicine and its scientific and technological background are rapidly and
      profoundly changing in the Information
      Age. The impact on the biomedical equipment used to produce and collect
      laboratory data, signals and images is
      impressive. New high throughput technologies have appeared and existing
      technologies have been radically
      transformed. For example, techniques like electroencephalography or
      radiography, which two decades ago seemed
      to reach a bottleneck, came to a new life and their importance as
      diagnostic tools is continuously increasing.
      As a result, our capacity to produce and record huge amount of complex
      biomedical data - patient conditions,
      diagnostic tests, treatments, outcomes, different kind of "omics" data
      (genomics/proteomics, etc), biosignals
      and images – have dramatically increased. This data provides an
      unprecedented source of information that can lead
      to potential improvements in medical diagnostic, prognostic, and
      individualized, optimized treatment strategy.
      However, much more work is required. Although technology has brought about
      tremendous new sources of important
      biomedical data, we have not moved very far with regard to extracting the
      knowledge that lies latent in this data.
      In recent years, modern computer science has brought forth tremendous new
      tools such as artificial neural networks,
      fuzzy logic, evolutionary computing, support vector machines, and the
      like. Yet the professional, political and
      social issues that separate the medical community and the intelligent
      computing community have delayed the serious
      application of these tools to accelerate progress in translational
      medicine; genome to phenome, bench to bedside
      and clinical trials to public health.


      We encourage papers describing new or applying existing intelligent
      computing methods to real and practical medical
      and health-care problems in which the biomedical problems are central. The
      topics of interest include, but are not
      limited to:
      • disease modeling, diagnosis and prevention
      • prognostic and treatment outcome predictions
      • patient monitoring and alarm systems
      • optimization of patient-management workflows
      • biomedical data\text\web mining and data visualization
      • integration of biomedical data sources and domain knowledge
      • translational bioinformatics (genomics, proteomics, etc.)
      • biomedical signals and images processing
      • design of clinical trials

      Submissions addressing theoretical problems should clearly outline the
      expected impact of the proposed solution to
      the medical field.

      - Medical informaticians
      - Bioinformaticians
      - Neuroinformaticians
      - Computer scientists
      - Statisticians
      - Molecular biologists and medical doctors
      - Biomedical and electrical engineers
      - Other researchers and developers

      Session Chairs

      -Alexandru Floares, SAIA - Solutions of Artificial Intelligence
      Applications & Artificial Intelligence Department,
      Cancer Institute Cluj-Napoca, Romania Email: alexandru.floares<at>ieee.org
      -Florin Manolache, Scientific Computing, Carnegie Mellon University,
      Pittsburgh, USA, Email: florin<at>andrew.cmu.edu
      -Aaron Baughman, IBM Bethesda, MD, USA, Email: baaron<at>us.ibm.com

      Program Committee
      -John J. Rice, IBM Research
      -Mweene Monze, IBM South Africa
      -Christian Eggenberger, IBM Switzerland
      -Barry Graham, IBM USA

      Important Dates
      Paper submission 30 May
      Notification of acceptance 15 June
      Final papers 15 July
      Conference 15-17 October

      Papers must be prepared following the guidelines illustrated on the CIBB
      web site and should be not longer than 10
      pages. The submission of papers will be done by sending the PDF to


      Aaron Baughman
      Software Engineering, Computer Scientist
      Biometric and Identity Analytics Community, Academy of Technology:
      Conference Co-Chair
      IBM Inventor, IDT Member
      IBM Global Business Services
      aaron.baughman@... : baaron@...
      c: 1-703-585-2747 w: 1-703-653-7527

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