Conference on Systems Analysis, Data Mining and Optimization in
Biomedicine

February 2-4, 2005

J. Wayne Reitz Union
University of Florida
Gainesville, FL

http://www.ise.ufl.edu/cao/biomedicine2005

In recent years, experimental methods in biomedicine have
resulted in massive amounts of data. The urgent need for
efficient methods of processing and understanding this data has
resulted in the rapid development of a new exciting research
direction - applying interdisciplinary approaches incorporating
systems analysis, data mining and optimization techniques to
the analysis of datasets arising in biomedical applications.
Application areas include genome studies, cardiology, cancer
diagnosis, neurology, etc.

Among the examples of considered datasets one can mention
genome sequences, gene expression data, protein structural
data, protein-protein interaction data, protein-DNA interaction
data, as well as radiological data, and EEG data. Systems
analysis, data mining and optimization techniques play an
important role in analyzing and integrating these large
datasets, as well as in discovering the biological processes
underlying the data arising in biomedical applications.

The purpose of this conference is to bring together
theoreticians and practitioners representing different fields -
biomedicine, engineering, computer science - in attempt to
share knowledge, ideas, and techniques.

Call for Abstracts

We invite researchers and practitioners working in different
areas related to Systems Analysis, Data Mining and Optimization
Techniques in Biomedicine to submit abstracts for possible
conference presentations. Those who submit abstracts will be
notified regarding whether a presentation based on the abstract
can be scheduled for the conference. Accepted abstracts will be
printed in the conference program and speakers will have
approximately thirty minutes to present their material. The
conference facilities will have projectors for presenting
material from a laptop computer, as well as overhead projectors.

The deadline for abstract submission is December 15, 2004.