Integrative science: a modeling challenge
| Autor: | J.L. Coatrieux |
|---|---|
| Přispěvatelé: | Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Senhadji, Lotfi |
| Rok vydání: | 2004 |
| Předmět: |
computational modeling
multimodal signal processing medicine Computer science [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing fluctuations Science 0206 medical engineering Complex system Biomedical Engineering Information Storage and Retrieval living systems 02 engineering and technology physiological models medical image processing Models Biological complex data information technology [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing multimodal image processing 0202 electrical engineering electronic engineering information engineering biomedical technologies biology computing medical signal processing complex systems [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing [SDV.IB] Life Sciences [q-bio]/Bioengineering MESH: Science Recursion business.industry biology MESH: Models Biological Information technology MESH: Information Storage and Retrieval General Medicine 020601 biomedical engineering Data science cellular levels Living systems Systems Integration MESH: Research Research Design MESH: Biomedical Engineering 020201 artificial intelligence & image processing integrative science [SDV.IB]Life Sciences [q-bio]/Bioengineering MESH: Systems Integration business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | IEEE Engineering in Medicine and Biology Magazine IEEE Engineering in Medicine and Biology Magazine, 2004, 23 (1), pp.12-4. ⟨10.1109/MEMB.2004.1297170⟩ IEEE Engineering in Medicine and Biology Magazine, Institute of Electrical and Electronics Engineers, 2004, 23 (1), pp.12-4. ⟨10.1109/MEMB.2004.1297170⟩ |
| ISSN: | 0739-5175 |
| Popis: | Computational modeling and information technology in biology and medicine will play a major role in the interdisciplinary attempt to elucidate structures and functions of living systems. The recursion between organization levels, at all space and time scales, for highly dynamical, interacting, and complex systems (i.e., the integrative science) is a very challenging topic where formal models, observational tools, and experimental investigations have to be closely designed and confronted together. This first in a series of short articles will examine some of the issues to deal with and enhance the perspectives that can be expected from the coupling between modeling and processing frames. |
| Databáze: | OpenAIRE |
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