Dear Colleague,

		     WORKSHOP ON MEDICAL APPLICATIONS 
		OF GENETIC AND EVOLUTIONARY COMPUTATION (MEDGEC)

                         to be held as part of the

      2007 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2007)

                     7-11 July 2007 (Saturday-Wednesday)
                            University College
                             London, England
                        Organized by ACM SIG-EVO
                        www.sigevo.org/GECCO-2007

        PAPER SUBMISSION DEADLINE FOR WORKSHOP: 1 March, 2007


We are pleased to invite you to submit a paper to MedGEC 2007, the GECCO
Workshop on Medical Applications of Genetic and Evolutionary Computation.

Full details can be found at the MedGEC Web site:
http://www.elec.york.ac.uk/intsys/events/MedGEC2007/home.htm

Subjects will include (but are not limited to) applications of GEC to: 

Medical imaging 
Medical signal processing 
Clinical diagnosis and therapy 
Data mining medical data and records 
Clinical expert systems 
Modeling and simulation of medical processes 

A dedicated workshop at GECCO provides a much needed focus for medical related
Applications of EC, not only providing a clear definition of the state of the
art, but also support to practitioners for whom GEC might not be their main
area of expertise or experience. 

The Workshop has two main aims: 

(i) to provide delegates with examples of the current state of the art 
of applications of GEC to medicine. 

(ii) to provide a forum in which researchers can discuss and exchange 
ideas, support and advise each other in theory and practice. 

GECCO is widely regarded to be the most authoritative conference in 
GEC and, as such, offers the ideal venue for this important and growing
community. 

Important dates:
Paper submission deadline: 1 March 2007
Notification of acceptance: 30 March, 2007
Camera-ready copy deadline: 11 April, 2007
Workshop: 7 or 8 July, 2007 (provisional date)

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Authors of papers accepted for the Workshop will be invited to submit an
extended version of their work for consideration of inclusion in a new book
on medical applications of genetic and evolutionary computation