megNet®

Visualization and modelling environment for translational medicine

Matej Oresic (Corresponding Author), Jyrki Lötjönen, Catherine Bounsaythip

    Research output: Contribution to journalArticleProfessional

    Abstract

    There has long been a consensus that there is a pressing need to bridge the gap between basic and
    clinical sciences, to ensure that basic research discoveries of potential relevance to patient care are
    effectively applied.
    This is a formidable challenge to implement. One of the key problems is the lack
    of a framework or model that would link clinically relevant information to the knowledge obtained
    across multiple disciplines, experimental platforms and biological systems
    Original languageEnglish
    Pages (from-to)32-34
    JournalERCIM News
    Issue number69
    Publication statusPublished - 2007
    MoE publication typeNot Eligible

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    Translational Medical Research
    Patient Care
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    Cite this

    Oresic, M., Lötjönen, J., & Bounsaythip, C. (2007). megNet®: Visualization and modelling environment for translational medicine. ERCIM News, (69), 32-34.
    Oresic, Matej ; Lötjönen, Jyrki ; Bounsaythip, Catherine. / megNet® : Visualization and modelling environment for translational medicine. In: ERCIM News. 2007 ; No. 69. pp. 32-34.
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    language = "English",
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    journal = "ERCIM News",
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    Oresic, M, Lötjönen, J & Bounsaythip, C 2007, 'megNet®: Visualization and modelling environment for translational medicine', ERCIM News, no. 69, pp. 32-34.

    megNet® : Visualization and modelling environment for translational medicine. / Oresic, Matej (Corresponding Author); Lötjönen, Jyrki; Bounsaythip, Catherine.

    In: ERCIM News, No. 69, 2007, p. 32-34.

    Research output: Contribution to journalArticleProfessional

    TY - JOUR

    T1 - megNet®

    T2 - Visualization and modelling environment for translational medicine

    AU - Oresic, Matej

    AU - Lötjönen, Jyrki

    AU - Bounsaythip, Catherine

    PY - 2007

    Y1 - 2007

    N2 - There has long been a consensus that there is a pressing need to bridge the gap between basic andclinical sciences, to ensure that basic research discoveries of potential relevance to patient care areeffectively applied. This is a formidable challenge to implement. One of the key problems is the lackof a framework or model that would link clinically relevant information to the knowledge obtainedacross multiple disciplines, experimental platforms and biological systems

    AB - There has long been a consensus that there is a pressing need to bridge the gap between basic andclinical sciences, to ensure that basic research discoveries of potential relevance to patient care areeffectively applied. This is a formidable challenge to implement. One of the key problems is the lackof a framework or model that would link clinically relevant information to the knowledge obtainedacross multiple disciplines, experimental platforms and biological systems

    M3 - Article

    SP - 32

    EP - 34

    JO - ERCIM News

    JF - ERCIM News

    SN - 0926-4981

    IS - 69

    ER -

    Oresic M, Lötjönen J, Bounsaythip C. megNet®: Visualization and modelling environment for translational medicine. ERCIM News. 2007;(69):32-34.