MINING BIOMEDICAL DATA AND IMAGES: DEVELOPMENT OF ALGORITHMS AND APPLICATIONS

Abstract: 

Nowadays, in addition to the continuous development of improved biomedical signal acquisition techniques, greater computational and storage capabilities and improved analysis techniques have led to the creation of large biomedical databases. More advances are yet to come as scientists have at their disposal efficient computational tools that take full advantage of the available data.

The "BIOMEDMINE" project is an interdisciplinary effort aiming at addressing the great need for efficient informatics tools for the analysis and management of large collections of biomedical data such as biological images and sequences, medical images and biosignals. The investigators propose to develop interoperable data representations that are easy to search, techniques for automatic quantitative characterization of regions of interest, new approaches to address database queries including queries by content, large scale association detection techniques in images, sequences, and signals, and in general, techniques for efficient management and analysis of heterogeneous biomedical data.

After developing a general framework and specialized methods for each type of biomedical data, the project research team will integrate the individual algorithmic methodologies in order to build a unified platform of biomedical analysis and knowledge discovery tools. The informatics tools that will be developed will combine information from the gene and protein level up to the level of the organism and behavior, allowing the generation and testing of new clinical and biological hypotheses.

The system that is selected for the application of the proposed methodologies is the nervous system because of its complexity, the availability of various types of data for it and the related expertise of the project investigators. The data mining concepts and techniques to be implemented will assist the interpretation of biomedical data automating the process of extraction of new knowledge in medicine and biology.

Project info

Acronym:
BIOMEDMINE
Coordinating Institution:
University of Patras
Scientific Coordinator:
Megalooikonomou Vasilis
Research Team 2 Leader:
Karnabatidis Dimitrios
Research Team 3 Leader:
Kossida Sophia

Stats

I.D.:
22
Mis:
376999
Duration (months):
48
Budget:
600 000.00
Diavgeia:
ΑΔΑ: Β4ΛΡ9-ΑΑΤ

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