International Workshop on

Visualization in Medicine and Life Sciences

- Current Challenges, State-of-the-art Approaches, and Future Directions -

Rügen, Germany

 July 19-21, 2006

 

 

 

         

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While life sciences have a tradition for providing application problems for visualization researchers, life sciences and visualization as disciplines can clearly accelerate the scientific discovery process by having close working relationships involving teams of life scientists and visualization experts. Life sciences, in the context of our workshop, include biology (animal and human), biochemistry, bioinformatics, biomathematics, food sciences, environmental sciences, and pharmaceutics. Recently developed technologies, for example, micro-array technology used in genetics or proteomics, make use of digital measuring methods and generate vast amounts of data that cannot be handled without the use of computer-aided analysis methods. The visualization community also faces new challenges. Certainly, many visualization techniques exist to operate on and visually explore large data sets. However, data sets like the ones obtained using modern scanning techniques differ in their properties and needs for analysis. While for medical data sets a unique physical location is defined for each measured value, this may not be true anymore for life science data. Challenges also arise in the context of having to analyze and combine in an integrated fashion physical (e.g., imaging-based) and abstract (e.g., micro-array) data sets, requiring the visualization community to develop innovative ways to couple "scientific [data] visualization" and "information visualization."

The aim of the planned international workshop is to precisely specify some  new challenges, to evaluate and critique the applicability of known methods, and to discuss new ideas and approaches. In particular, we would like to find out what the limitations of current techniques are, and we would like to encourage a discussion and collect opinions and suggestions on how visualization should evolve to meet the new requirements. We would like to come up with a list of elements for a "roadmap" to guide visualization research
efforts in needed, desirable directions. Also, we want to encourage interaction among participants in the spirit of establishing new collaborations.

Participants will have the opportunity to present their work and ideas, approaches, or concepts in one of the presentation sessions. Presentations should focus on visualization applied or applicable to data from medicine, or life sciences in general. We plan on having several discussion sessions, possibly organized as break-out sessions combined with a limited number of panels.

Workshop participation is by-invitation-only, and we have carefully chosen a list of potential participants to ensure a high-quality meeting. The number of participants is restricted to about 40 persons.