Connectionists: Special Session at ESANN 20108: Computational Intelligence in Biomedicine

[Lisboa, Paulo]

*** 1st CFP (with apologies for cross-posting)***

SPECIAL SESSION: Computational Intelligence in Biomedicine
************** As part of ESANN 2010 **************
The 18th European Symposium on Artificial Neural Networks, 28-30 April 
2010, Bruges, Belgium

Organizers: Paulo J.G. Lisboa (Liverpool John Moores University, U.K.), 
Alfredo Vellido (Tech. Univ. Catalunya, Spain), José D. Martín 
(University of Valencia, Spain)

THE SESSION IN BRIEF:
Computational Intelligence techniques (including, broadly, neural 
networks, connectionist systems, genetic algorithms, evolutionary 
programming, fuzzy systems, and hybrid intelligent systems, according to 
the scope provided by the IEEE-CIS) have made significant inroads over 
the last two decades in the area of biomedical applications. This is 
both as beacons of evidence-based medicine and as robust building blocks 
of medical decision support systems.
Systems based on Computational Intelligence techniques should have an 
important role in defining the methodologies for the next generation of 
healthcare delivery technologies. This is expected to follow the 4P 
(personalized, predictive, preventive and participatory) agenda, which 
demands greater personalization to the needs of the individual patient, 
a focus on preventive medicine with the support of predictive 
approaches, as well as greater emphasis on pro-active involvement by the 
patient at the point of healthcare delivery.
This special session aims to be of interest to CI practioners (with a 
strong focus on Machine Learning) working in the area of biomedicine, 
but also to those biomedicine researchers that have made CI techniques 
their tools of choice. The sinergy between both worlds should guarantee 
that leading-edge techniques become known to medical practitioners and 
that CI research in biomedicine complies with the real-world 
requirements of the field.

The main topics of interest, any of them based on Computational 
Intelligence, Machine Learning and otherwise AI-related techniques, 
include (but are indeed not necessarily limited to):
*    Methodologies with a focus on model interpretation (including, for 
instance, visualization, feature selection and extraction, graphs, and 
rules).
*    Structured methodologies for multi-modal data (data fusion 
combining different modalities, e.g.: molecular biomarkers, histology, 
imaging, electrophysiological measurements and clinical signs).
*    Methodologies for the analysis of functional and spectral signal 
and imaging data. 
*    Survival analysis.
*    Methodologies for computer-based medical decision support and 
treatment planning. 
*    Current and planned clinical applications.
*    Methodologies of mining and knowledge discovery applied to medical 
data.
*    Pharmaceutical research.

All contributions are meant to strike a reasonable balance between 
theoretical novelty and the originality and appropriateness of the 
biomedical application.

Further information on the web (forthcoming): 
http://www.dice.ucl.ac.be/esann/index.php?pg=specsess

***** IMPORTANT DATES *****
Submission deadline: 25th of November, 2009.
Notification to authors: 18th of January, 2010.
Camera-ready papers due: 22nd of February, 2010.

CONTACTS:
=========
Alfredo Vellido, PhD
Department of Computing Languages and Systems. Technical University of 
Catalonia
Barcelona, Spain
Tel.: +34 93 4137796. Fax: +34 93 4137833
email: avellido at lsi.upc.edu

Paulo J.G. Lisboa, PhD
School of Computing and Mathematical Sciences. Liverpool John Moores 
University
Liverpool, United Kingdom
Tel.: +44 151 2312225. Fax: +44 151 2074594
email: P.J.Lisboa at ljmu.ac.uk

José D. Martín, PhD
Department of Electronic Engineering. University of Valencia.
Valencia, Spain
Tel.: +34 96 3544022. Fax: +34 96 3544353
email: jose.d.martin at uv.es