Bioinformatics : concepts, methodologies, tools, and by Information Resources Management Association

By Information Resources Management Association

As because of the experimental options, the mix of biology and computing device technology was once initiated to categorise and approach an increasing variety of organic observations.

Bioinformatics: options, Methodologies, instruments, and Applications highlights the world of bioinformatics and its effect over the scientific neighborhood with its ideas that vary how we realize and deal with health problems. This e-book presents major study and the latest observations which are important for researchers, practitioners, and academicians focused on the numerous elements of bioinformatics.

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Extra resources for Bioinformatics : concepts, methodologies, tools, and applications, 1st Edition

Sample text

Currently, imaging techniques provide data on tissue anatomy, but in the future it will provide information about the function of tissues as well, which will result in studying the progress of a disease and helping in new treatments development. In the nest subsections, short description of CT scan and MRI will be discussed. Computed Tomography (CT) The CT scanner is revolutionary in that it does not record an image in the conventional way. There is no image receptor, such as film, or image intensifier tube.

1950’s-1960 Nuclear medicine. 1953 Cardiopulmonary bypass (heart-lung machine). 1970’s CT, MRI imaging systems. 1975 Whitaker Foundation was established. 1980′s Gamma Camera, Positron Emission Tomography (PET) and SPECT. 1997 First Indigenous Endo vascular Coronary Stent (Kalam-Raju Stent) was developed by Care Foundation. to give “equal status to representatives of both biomedical and engineering interests and promote the increase of biomedical engineering knowledge and its utilization (Schwan, 1984; Garfield, 1987).

One of the most important results of biomedical engineering are the mathematical models of blood flow in small vessels, these models still direct the evolution of tissue-engineered blood vessels and cardiovascular biomaterials. The growth of physiological modelling and simulation gets more important to biomedical engineering because of their numerous uses (Johnson, 2000). First, mathematical modelling is considered to be an important implement for complex biophysical systems investigation. Second, computer architecture advancement made the level of complexity model practical to apply the computational paradigm to complex biophysical systems.

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