----- Forwarded message from Aaron K Baughman <[email protected]> -----

LAST 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
http://cibb09.disi.unige.it/

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.

Topics

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.

Audience
- 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
-Adam Gaweda, University of Louisville, USA
-Leif Peterson, Center for Biostatistics, TMHRI, USA                            
                                 
                                                                     
Important Dates
Paper submission          15 June
Notification of acceptance        25 June
Final papers        15 July
Conference        15-17 October
Submissions

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
alexandru.floares<at>ieee.org



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
[email protected] : [email protected]
c: 1-703-585-2747 w: 1-703-653-7527 

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