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    This paper reviews U.S. funding for multiscale modeling (MSM) of the physiome. Despite progress, challenges in data and model sharing persist, hindering reproducibility in biomedical research.

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    Area of Science:

    • Computational Biology
    • Biomedical Modeling
    • Physiomics

    Background:

    • U.S. funding initiatives for multiscale modeling (MSM) of the physiome began in 2003.
    • The Interagency Modeling and Analysis Group (IMAG) Multiscale Modeling (MSM) Consortium has driven interest in physiome MSM.
    • Challenges in model and data sharing persist across biomedical, biological, and behavioral systems.

    Purpose of the Study:

    • To provide a history of U.S. funding for physiome MSM.
    • To highlight discussions on model reproducibility facilitated by the IEEE EMBS Technical Committee on Computational Biology and the Physiome (CBaP TC) since 2013.
    • To present a special issue demonstrating challenges and opportunities in publishing reproducible computational models.

    Main Methods:

    • Historical review of U.S. funding initiatives.
    • Analysis of discussions and publications from the IEEE EMBS CBaP TC.
    • Compilation of case studies within a special issue.

    Main Results:

    • Significant interest generated in physiome MSM through initiatives like IMAG and the MSM Consortium.
    • Persistent challenges identified in sharing models and data for complex biological systems.
    • A special issue realized from CBaP TC discussions showcases current challenges and opportunities.

    Conclusions:

    • Further facilitation of model reproducibility, accessibility, and reuse is needed globally.
    • The special issue offers a unique perspective on the state of reproducible computational model publishing.
    • Addressing sharing and reproducibility challenges is crucial for advancing biomedical domain applications.