Patient-Specific Modeling of the Cardiovascular System

Author:
Edition: 2010
Binding: Hardcover
ISBN: 1441966900

Patient-Specific Modeling of the Cardiovascular System: Technology-Driven Personalized Medicine

The main purpose of the book is to demonstrate the design of a variety of patient-specific models within the cardiovascular system in computational biology. Download Patient-Specific Modeling of the Cardiovascular System: Technology-Driven Personalized Medicine from rapidshare, mediafire, 4shared. The maturation of computational biology could lead to a new approach to medicine. During the last five to ten years, there have been many improvements in diagnostic medical technologies such as multi-slice cardiac CT imaging, 3-D electroanatomic mapping, and many types of applications of Magnetic Resonance Imaging (i.e. magnetic resonance tagging and diffusion tensor imaging). Combined with more powerful computing resources and more accurate predictive computational models it is feasible to begin developing mechanistic patient-specific models that may help diagnosis, guide therapy or surgery, Search and find a lot of engineering books in many category availabe for free download.

Patient-Specific Modeling of the Cardiovascular System Free

Download Patient-Specific Modeling of the Cardiovascular System engineering books for free. The maturation of computational biology could lead to a new approach to medicine. During the last five to ten years, there have been many improvements in diagnostic medical technologies such as multi-slice cardiac CT imaging, 3-D electroanatomic mapping, and many types of applications of Magnetic Resonance Imaging (i.e. magnetic resonance tagging and diffusion tensor imaging) he maturation of computational biology could lead to a new approach to medicine. During the last five to ten years, there have been many improvements in diagnostic medical technologies such as multi-slice cardiac CT imaging, 3-D electroanatomic mapping, and many types of applications of Magnetic Resonance Imaging (i.e. magnetic resonance tagging and diffusion tensor imaging). Combined with more powerful computing resources and more accurate predictive computational models it is feasible to begin developing mechanistic patient-specific models that may help diagnosis, guide therapy or surgery,

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