From Wikipedia, the free encyclopedia
Systems Biomedicine is the application of Systems Biology to the understanding and modulation of developmental and pathological processes in humans, and in animal and cellular models. Whereas Systems Biology aims at modeling exhaustive networks of interactions (with the long-term goal of, for example, creating a comprehensive computational model of the cell), Systems Biomedicine emphasizes the multilevel, hierarchical nature of the models (molecule, organelle, cell, tissue, organ, individual/genotype, environmental factor, population, ecosystem) by discovering and selecting the key factors at each level and integrating them into models that reveal the global, emergent behavior of the biological process under consideration. Such an approach will be favorable when the execution of all the experiments necessary to establish exhaustive models is limited by time and expense (e.g., in animal models) or basic ethics (e.g., human experimentation). In the year of 1992, a paper on system biomedicine by Kamada T. was published, and an article on systems medicine and pharmay by Zeng B.J. was also published in the same time period.
