Computational Modeling and Simulations in Life Sciences
Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling...
Ausführliche Beschreibung
Autor*in: |
Lazakidou, Athina [verfasserIn] Petridou, Maria [verfasserIn] Iliopoulou, Dimitra [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2013 |
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Umfang: |
1 Online-Ressource |
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Übergeordnetes Werk: |
Enthalten in: International journal of systems biology and biomedical technologies - Hershey, Pa : IGI Global, 2012, 2(2013), 2, Seite 1-7 |
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Übergeordnetes Werk: |
volume:2 ; year:2013 ; number:2 ; pages:1-7 |
Links: |
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DOI / URN: |
10.4018/ijsbbt.2013040101 |
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Katalog-ID: |
NLEJ251827747 |
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10.4018/ijsbbt.2013040101 doi (DE-627)NLEJ251827747 (VZGNL)10.4018/ijsbbt.2013040101 DE-627 ger DE-627 rakwb eng Lazakidou, Athina verfasserin aut Computational Modeling and Simulations in Life Sciences 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling is able to vastly improve both drug creation and clinic technology. Progress in technology and the development of new experimental methods has had a noteworthy effect on the study of disease. This has raised new researching opportunities, such as: gathering in-depth ́molecular fingerprintś from patients carrying information, for example, on genotype, gene or protein expression, or metabolism levels; studying intracellular processes in living and diseased tissue through the control of gene activity inside the cells; and creating understandable illness-specific databases that include both patientś medical history with laboratory and clinical data in addition to storing useful tissue samples. In this article, the authors attempt to provide the readers with a view of current and future use of mathematical modeling in medicine Computational Models Life Sciences Medical Informatics Medical Robotics Medicine Simulation Petridou, Maria verfasserin aut Iliopoulou, Dimitra verfasserin aut Enthalten in International journal of systems biology and biomedical technologies Hershey, Pa : IGI Global, 2012 2(2013), 2, Seite 1-7 Online-Ressource (DE-627)NLEJ244419450 (DE-600)2703840-3 2160-9594 nnns volume:2 year:2013 number:2 pages:1-7 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsbbt.2013040101 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsbbt.2013040101&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 2 2013 2 1-7 |
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10.4018/ijsbbt.2013040101 doi (DE-627)NLEJ251827747 (VZGNL)10.4018/ijsbbt.2013040101 DE-627 ger DE-627 rakwb eng Lazakidou, Athina verfasserin aut Computational Modeling and Simulations in Life Sciences 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling is able to vastly improve both drug creation and clinic technology. Progress in technology and the development of new experimental methods has had a noteworthy effect on the study of disease. This has raised new researching opportunities, such as: gathering in-depth ́molecular fingerprintś from patients carrying information, for example, on genotype, gene or protein expression, or metabolism levels; studying intracellular processes in living and diseased tissue through the control of gene activity inside the cells; and creating understandable illness-specific databases that include both patientś medical history with laboratory and clinical data in addition to storing useful tissue samples. In this article, the authors attempt to provide the readers with a view of current and future use of mathematical modeling in medicine Computational Models Life Sciences Medical Informatics Medical Robotics Medicine Simulation Petridou, Maria verfasserin aut Iliopoulou, Dimitra verfasserin aut Enthalten in International journal of systems biology and biomedical technologies Hershey, Pa : IGI Global, 2012 2(2013), 2, Seite 1-7 Online-Ressource (DE-627)NLEJ244419450 (DE-600)2703840-3 2160-9594 nnns volume:2 year:2013 number:2 pages:1-7 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsbbt.2013040101 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsbbt.2013040101&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 2 2013 2 1-7 |
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10.4018/ijsbbt.2013040101 doi (DE-627)NLEJ251827747 (VZGNL)10.4018/ijsbbt.2013040101 DE-627 ger DE-627 rakwb eng Lazakidou, Athina verfasserin aut Computational Modeling and Simulations in Life Sciences 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling is able to vastly improve both drug creation and clinic technology. Progress in technology and the development of new experimental methods has had a noteworthy effect on the study of disease. This has raised new researching opportunities, such as: gathering in-depth ́molecular fingerprintś from patients carrying information, for example, on genotype, gene or protein expression, or metabolism levels; studying intracellular processes in living and diseased tissue through the control of gene activity inside the cells; and creating understandable illness-specific databases that include both patientś medical history with laboratory and clinical data in addition to storing useful tissue samples. In this article, the authors attempt to provide the readers with a view of current and future use of mathematical modeling in medicine Computational Models Life Sciences Medical Informatics Medical Robotics Medicine Simulation Petridou, Maria verfasserin aut Iliopoulou, Dimitra verfasserin aut Enthalten in International journal of systems biology and biomedical technologies Hershey, Pa : IGI Global, 2012 2(2013), 2, Seite 1-7 Online-Ressource (DE-627)NLEJ244419450 (DE-600)2703840-3 2160-9594 nnns volume:2 year:2013 number:2 pages:1-7 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsbbt.2013040101 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsbbt.2013040101&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 2 2013 2 1-7 |
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Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling is able to vastly improve both drug creation and clinic technology. Progress in technology and the development of new experimental methods has had a noteworthy effect on the study of disease. This has raised new researching opportunities, such as: gathering in-depth ́molecular fingerprintś from patients carrying information, for example, on genotype, gene or protein expression, or metabolism levels; studying intracellular processes in living and diseased tissue through the control of gene activity inside the cells; and creating understandable illness-specific databases that include both patientś medical history with laboratory and clinical data in addition to storing useful tissue samples. In this article, the authors attempt to provide the readers with a view of current and future use of mathematical modeling in medicine |
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Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling is able to vastly improve both drug creation and clinic technology. Progress in technology and the development of new experimental methods has had a noteworthy effect on the study of disease. This has raised new researching opportunities, such as: gathering in-depth ́molecular fingerprintś from patients carrying information, for example, on genotype, gene or protein expression, or metabolism levels; studying intracellular processes in living and diseased tissue through the control of gene activity inside the cells; and creating understandable illness-specific databases that include both patientś medical history with laboratory and clinical data in addition to storing useful tissue samples. In this article, the authors attempt to provide the readers with a view of current and future use of mathematical modeling in medicine |
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Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling is able to vastly improve both drug creation and clinic technology. Progress in technology and the development of new experimental methods has had a noteworthy effect on the study of disease. This has raised new researching opportunities, such as: gathering in-depth ́molecular fingerprintś from patients carrying information, for example, on genotype, gene or protein expression, or metabolism levels; studying intracellular processes in living and diseased tissue through the control of gene activity inside the cells; and creating understandable illness-specific databases that include both patientś medical history with laboratory and clinical data in addition to storing useful tissue samples. In this article, the authors attempt to provide the readers with a view of current and future use of mathematical modeling in medicine |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ251827747</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205144004.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/ijsbbt.2013040101</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251827747</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/ijsbbt.2013040101</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lazakidou, Athina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computational Modeling and Simulations in Life Sciences</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling is able to vastly improve both drug creation and clinic technology. Progress in technology and the development of new experimental methods has had a noteworthy effect on the study of disease. This has raised new researching opportunities, such as: gathering in-depth ́molecular fingerprintś from patients carrying information, for example, on genotype, gene or protein expression, or metabolism levels; studying intracellular processes in living and diseased tissue through the control of gene activity inside the cells; and creating understandable illness-specific databases that include both patientś medical history with laboratory and clinical data in addition to storing useful tissue samples. 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