By Thomas S. Deisboeck (Editor), J. Yasha Kresh (Editor)
Advanced platforms technology in BiomedicineThomas S. Deisboeck and J. Yasha Kresh complicated structures technology in Biomedicine covers the rising box of structures technological know-how concerning the appliance of physics, arithmetic, engineering and computational tools and methods to the learn of biomedicine together with nonlinear dynamics on the molecular, mobile, multi-cellular tissue, and organismic point. With all chapters helmed by way of best scientists within the box, complicated platforms technological know-how in Biomedicine's target is to provide its viewers a well timed compendium of the continuing examine directed to the certainty of organic methods as entire platforms rather than as remoted part parts. In components I & II, complicated structures technology in Biomedicine offers a basic platforms pondering viewpoint and offers a number of the primary theoretical underpinnings of this quickly rising box. half III then follows with a multi-scaled process, spanning from the molecular to macroscopic point, exemplified via learning such various parts as molecular networks and developmental strategies, the immune and fearful structures, the center, melanoma and multi-organ failure. the amount concludes with half IV that addresses tools and methods pushed in layout and improvement through this new figuring out of biomedical technological know-how. Key subject matters contain: • Historic views of basic platforms considering • Fundamental tools and strategies for learning complicated Dynamical structures • Applications from Molecular Networks to sickness Processes• Enabling applied sciences for Exploration of platforms within the lifestyles Sciences advanced platforms technological know-how in Biomedicine is vital interpreting for experimental, theoretical, and interdisciplinary scientists operating within the biomedical learn box drawn to a finished evaluation of this quickly rising field. concerning the Editors: Thomas S. Deisboeck is at present Assistant Professor of Radiology at Massachusetts normal clinic and Harvard clinical tuition in Boston. a professional in interdisciplinary melanoma modeling, Dr. Deisboeck is Director of the advanced Biosystems Modeling Laboratory that is a part of the Harvard-MIT Martinos middle for Biomedical Imaging. J. Yasha Kresh is at the moment Professor of Cardiothoracic surgical procedure and examine Director, Professor of drugs and Director of Cardiovascular Biophysics on the Drexel college university of drugs. knowledgeable in dynamical structures, he holds appointments within the college of Biomedical Engineering and well-being structures, Dept. of Mechanical Engineering and Molecular Pathobiology application. Prof. Kresh is Fellow of the yankee collage of Cardiology, American middle organization, Biomedical Engineering Society, American Institute for scientific and organic Engineering.
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Extra info for Complex Systems Science in Biomedicine (Topics in Biomedical EngineeringInternational Book Series)
Leibler S, Elowitz, MB. 2000. A synthetic oscillatory network of transcriptional regulators. Nature 403:335–338. Lauffenburger DA. 2000. Cell signaling pathways as control modules: complexity for simplicity? Proc Natl Acad Sci USA 97(10):5031–5033. Doyle JC. 2000. Robustness and dynamics in biological networks. In The first international conference on systems biology. MIT Press, New York. Prigogine I. 1980. From being to becoming. Freeman, San Francisco. Gell-Mann M. 1994. The quark and the jaguar, adventures in the simple and the complex.
24 J. Y. KRESH & Are complex organisms better (more) adapted (adaptive) than simple organisms? , is biology a relational science (not merely a complex system)-throwing away the physics and keeping the organization; or as Robert Rosen noted "throwing away the polypeptide and keeping the active site" (19). , they are execution-driven; they are not digital-computational, and equally surprising is that they are not far removed informationally from 1/f noise communication (6,14). An intriguing example of a subsystem assimilation challenge arises when a new organ (heart, kidney, liver, lung, tissue, cells) is transplanted to a recipient host.
Not surprisingly, this exuberance of effort gave rise to a monumental amount of information that is now begging for reintegration into a systematic whole. The GST concepts promulgated throughout the 1960s have been resurrected in a reincarnated form—systems biology (16). Indeed, the lessons of our youthful past are visited upon us again. Mihajlo Mesarovic (17) anticipated this disconnect in 1968: "It has been said too often, but has been really taken into account too seldom, that the theory and applications are intimately related and none can make significant progress without the other.