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cellml s1.xml  (Physiome Sciences Inc)

 
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    Physiome Sciences Inc cellml s1.xml
    Cellml S1.Xml, supplied by Physiome Sciences Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cellml/cellml+s1+xml/pmc09309047__jciinsight___7___157557___s152-40-5-8
    Average 90 stars, based on 1 article reviews
    cellml s1.xml - by Bioz Stars, 2026-10
    90/100 stars

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    Software:

    Article Title: Functionalized Anatomical Models for Computational Life Sciences
    Article Snippet: The project aims to describe the Physiome through ordinary and partial differential equations (ODEs and PDEs) that are made compatible, e.g., by enforcing energy and mass fluxes through Bond-graph theory (Paynter, ; Safaei et al., ), and by employing standardized naming conventions/ontologies and formats (e.g., CellML, SBML Chaouiya et al., , FieldML) that are in turn compatible with general purpose solvers such as OpenCOR and OpenCMISS (Hunter, ).

    Article Title: Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology.
    Article Snippet: Model code was imported from a CellML (Cuellar et al., 2003) file downloaded from the Physiome model repository (Yu et al., 2011).

    Article Title: Simulation, identification and statistical variation in cardiovascular analysis (SISCA) - A software framework for multi-compartment lumped modeling.
    Article Snippet: It has not yet been possible to obtain modeling approaches suitable for covering a wide range of real world scenarios in cardiovascular physiology because many of the system parameters are uncertain or even unknown.. Natural variability and statistical variation of cardiovascular system parameters in healthy and diseased conditions are characteristic features for understanding cardiovascular diseases in more detail.. This paper presents SISCA, a novel software framework for cardiovascular system modeling and its MATLAB implementation.

    Article Title: A novel modular modeling approach for understanding different electromechanics between left and right heart in rat
    Article Snippet: This modeling approach serves as a good example of constructing complex models using the Physiome standard model protocol CellML in an efficient way to reuse constituents of existing computational models as modules.



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