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Physiological Systems Modeling and Simulation Federica Caselli University of Rome “Tor Vergata” A.A. 2011/2012
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Physiological Systems Modeling and Simulation Modeling Simulation
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Purpose of modeling Understanding physiology Diagnosis Prediction Artificial organ design Virtual medicine … Modeling process: Model formulation Parameter identification Model validation Model simulation (iterative process!) Physiological Systems Modeling and Simulation Examples?
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Type of models Black or gray box (data or system modeling) Linear or nonlinear Stationary or time-dependent Lumped or distributed parameters (ODE or PDE) Deterministic or stochastic …
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LTI Models of Physiological Systems Example: linearized lung mechanics
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System Identification Gray box Black box
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Physiological CONTROL Systems Homeostasis!
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Physiological CONTROL Systems Homeostasis!
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Milestones 1952
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Milestones 1938 1957 Huxley crossbridge model Hill model
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Electric conduction in cells and tissues
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Cell encapsulation Normalized drug mass in the container Drug delivery system modeling
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Biomechanics
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symmetry contact clamped
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Biomechanics 100 % Stress free
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Heart-lung machine Oxygen diffusion and transport, blood flow dynamics, stress on red blood cell and haemolysis...
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Challenges Complexity Multiphysics & Multiscale models Holistic approach Growth and remodeling Patient-Specific models Noninvasive method for parameter identification Computational efforts To name but a few!
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References Cobelli C. and Carson E., Introduction to Modeling in Physiology and Medicine, Elsevier/Academic Press, New York, 2007. Holzapfel G.A., Nonlinear Solid Mechanics: A Continuum Approach for Engineering, Wiley, New York, 2000. Humphrey J.D., Cardiovascular Solid Mechanics: cells, tissues and organs, Springer-Verlag, 2002. Keener J. and Sneyd J., Mathematical Physiology – Systems Physiology, Springer. Khoo M.C.K., Physiological Control Systems, IEEE Press, 2000. Quarteroni A., Cardiovascular Mathematics, Springer, 2009.
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