Mathematical models in physiology

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  • David Gavaghan
    Oxford University Computing LaboratoryWolfson Building, Parks Road, Oxford OX1 3QD, UK
  • Alan Garny
    Cardiac Mechano-Electric Feedback Group, Department of PhysiologyAnatomy and Genetics, Sherrington Building, Parks Road, Oxford OX1 3PT, UK
  • Philip K Maini
    Centre for Mathematical Biology, Mathematical Institute24-29 St Giles', Oxford OX1 3LB, UK
  • Peter Kohl
    Cardiac Mechano-Electric Feedback Group, Department of PhysiologyAnatomy and Genetics, Sherrington Building, Parks Road, Oxford OX1 3PT, UK

Description

<jats:p> Computational modelling of biological processes and systems has witnessed a remarkable development in recent years. The search-term ( <jats:italic>modelling OR modeling</jats:italic> ) yields over 58 000 entries in PubMed, with more than 34 000 since the year 2000: thus, almost two-thirds of papers appeared in the last 5–6 years, compared to only about one-third in the preceding 5–6 decades. </jats:p> <jats:p>The development is fuelled both by the continuously improving tools and techniques available for bio-mathematical modelling and by the increasing demand in quantitative assessment of element inter-relations in complex biological systems. This has given rise to a worldwide public domain effort to build a computational framework that provides a comprehensive theoretical representation of integrated biological function—the Physiome.</jats:p> <jats:p>The current and next issues of this journal are devoted to a small sub-set of this initiative and address biocomputation and modelling in physiology, illustrating the breadth and depth of experimental data-based model development in biological research from sub-cellular events to whole organ simulations.</jats:p>

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