Special Issue "Multiscale and Hybrid Modeling of the Living Systems"
Deadline for manuscript submissions: closed (31 October 2016).
Interests: data-driven modeling; system identification; mathematical immunology
Interests: mathematical physiology; biomechanics; cardiac computational models
Interests: mathematical modeling in biology; multi-scale models; hybrid models; partial differential equations; mathematical modelling; population dynamics; biomedical modelling
Special Issues and Collections in MDPI journals
Special Issue in Mathematics: Mathematical Modelling in Biomedicine
Special Issue in Mathematics: Mathematical Modelling in Biomedicine II
This Special Issue is intended to present recent advances and open problems in the development and computer implementation of high-resolution multi-parameter models, describing various levels of living systems organization. The relevant details of the experimental and mathematical techniques used for the quantitative characterization of the systems elements at different levels will be discussed.
Living systems are characterized by an enormous complexity of their structures, regulation, and dynamics. The mainstream approach to their analysis puts a strong emphasis on the acquisition of quantitative data and comprehensive measurements of a plethora of biological parameters. Nowadays it has become evident that, in order to gain a predictive understanding of the normal and pathological functioning of living systems, there is an urgent need of an efficient methodology for an information-rich, systems-based multiscale and hybrid modeling. The models which are developed to integrate a broad range of physical, chemical, biological phenomena with a large variation in their temporal and spatial scales represent a major challenge for numerical analysis and computational treatment. Advances in dynamic and global scale measurements of the system components at the gene-, cellular-, organ-, and whole organism-levels, and high resolution imaging technologies, should help to overcome the limitations of purely reductionist modeling approaches of the era preceding the development of systems biology. Our aim is to provide a comprehensive overview of the existing computational modeling approaches allowing one to include different scales into global models of living systems and enabling the identification of key targets to treat various diseases.
Prof. Dr. Gennady Bocharov
Prof. Dr. Olga Solovyova
Prof. Dr. Vitaly Volpert
Manuscript Submission Information
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- Living Systems
- Integrative modeling
- Multiscale models
- Network models
- Hybrid models
- Systems Biology and Medicine
- Computational methods