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        Toward Good Simulation Practice

        Best Practices for the Use of Computational Modelling and Simulation in the Regulatory Process of Biomedical Products

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        Contributor(s)
        Viceconti, Marco (editor)
        Emili, Luca (editor)
        Language
        English
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        Abstract
        This open access book, the Community of Practice led by the VPH Institute, the Avicenna Alliance, and the In Silico World consortium has brought together 138 experts in In Silico Trials working in academia, the medical industry, regulatory bodies, hospitals, and consulting firms. Through a consensus process, these experts produced the first attempt to define some Good Simulation Practices on how to develop, evaluate, and use In Silico Trials. Good Simulation Practice constitutes an indispensable guide for anyone who is planning to engage at any title with In Silico Trials.
        URI
        https://library.oapen.org/handle/20.500.12657/88346
        Keywords
        In Silico Trials; In Silico Medicinal Chemistry; In Silico Dreams; Multiscale Modeling of the Skeletal System; Brain and Human Body Modeling
        DOI
        10.1007/978-3-031-48284-7
        ISBN
        9783031482847, 9783031482847, 9783031482830
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2024
        Imprint
        Springer Nature Switzerland
        Series
        Synthesis Lectures on Biomedical Engineering,
        Classification
        Biomedical engineering
        Bioethics
        Computer modelling and simulation
        Pages
        144
        Rights
        http://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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