PPT-Mathematical modeling of blood flow in translational medicine

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1 Moscow Institute of Physics and Technology 2 Institute of Numerical Mathematics Workgroup on modelling blood flow and vascular diseases Simakov S ergey

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Mathematical modeling of blood flow in translational medicine: Transcript


1 Moscow Institute of Physics and Technology 2 Institute of Numerical Mathematics Workgroup on modelling blood flow and vascular diseases Simakov S ergey 1. MATH MODELING. 2010. 09:40 AM-10:30 AM JWB 208 . Introduction. Models and reality. Theory attracts practice as the magnet attracts iron. . Gauss. We live in the world of models: . Great models: Universe, Evolution, Social organization – determine our life forcing our judgment, decisions, and feelings. . Hemant. Kumar. EGEE 520. 04/28/2009. DEPARTMENT OF. ENERGY . AND. MINERAL ENGINEERING. COLLEGE OF EARTH AND MINERAL SCIENCES. Introduction. Coalbed Methane resides in phyteral pores, micro-pores in the adsorbed . Professional Development Module created by the IMSPC Project. Funded by the SASS initiative of NC Ready for Success. Agenda. 9:00-9:30. Introductions. & orientation to the project. 9:30-10:30. For the . MATH MODELING 2010. 09:40 AM-10:30 AM JWB 208 . Introduction. Models and reality. Theory attracts practice as the magnet attracts iron. Gauss. We live in the world of models: . Great models: Universe, Evolution, Social organization – determine our life forcing our judgment, decisions, and feelings. . Hemant. Kumar. EGEE 520. 04/28/2009. DEPARTMENT OF. ENERGY . AND. MINERAL ENGINEERING. COLLEGE OF EARTH AND MINERAL SCIENCES. Introduction. Coalbed Methane resides in phyteral pores, micro-pores in the adsorbed . Brain. Heart. Muscle. Control of tissue flow. Intrinsic Control. Extrinsic control. Long term control. Tissue. Height~ perfusion pressure. Figure 20-14 Autoregulation of blood flow.. Downloaded from: StudentConsult (on 25 February 2010 10:44 PM). systems . – Summary and Review . Shulin Chen. January 10, 2013. Topics to be covered . Review basic terminologies on mathematical modeling . Steps for model development. Example: modeling a bioreactor . Laboratory Medicine. . and . Anatomic Pathology. Chemistry/Immunology. Microbiology/Virology. Transfusion Medicine. Apheresis. Blood Bank. Hematology/Flow . Cytometry. Tumor Profiling. Autopsy. Cytology. Immunopathogenesis. of Rheumatoid Arthritis. K. . Odisharia. , V. . Odisharia. , P. . Tsereteli. , N. . Janikashvili. St. Andrew the First-Called Georgian University of the Patriarchate of Georgia. Iv. . FMH-certified . pediatric. surgeon. Physician . in Charge, Department of . Pediatric. Visceral . Surgery. Head . of Minimally Invasive . Surgery. Department . of . Pediatric. . Surgery.. University . Effectiveness and clinical application. Wyatt Kurzejeski, SPT. Learning objectives. 1. . The audience should be able to identify proper parameters for BFR use in a clinical setting, and explain the benefits and risks of this intervention. Case Studies in Ecology, Biology, Medicine & . Physics. Prey Predator Models. 2. Observed Data. 3. A verbal model of predator-prey cycles:. Predators eat prey and reduce their numbers. Predators go hungry and decline in number. Jake Yung. Methodology. Sexl-Womersley. Flow – Flow in a circular pipe driven by an oscillating pressure gradient. Source: https://en.wikiversity.org/wiki/WikiJournal_of_Medicine/Medical_gallery_of_Blausen_Medical_2014. Géraldine. Celliere. MAMBA team. Modeling . and Analysis for Medical and Biological . Applications. Led by Marie . Doumic. -Jauffret. Joint with UPMC. At Inria, focuses on:. mathematical modeling of biological tissues (liver, tumors).

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