Literature DB >> 16608698

Mathematical models in physiology.

David Gavaghan1, Alan Garny, Philip K Maini, Peter Kohl.   

Abstract

Computational modelling of biological processes and systems has witnessed a remarkable development in recent years. The search-term (modelling OR modeling) yields over 58000 entries in PubMed, with more than 34000 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. 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. 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.

Mesh:

Year:  2006        PMID: 16608698     DOI: 10.1098/rsta.2006.1757

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

Review 1.  Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function: Review on Mathematical Modelling Approaches.

Authors:  Giovanni Pacini; Bo Ahrén; Christian Göbl; Andrea Tura
Journal:  Biomedicines       Date:  2022-05-03

2.  Macroscopic quantum-type potentials in theoretical systems biology.

Authors:  Laurent Nottale
Journal:  Cells       Date:  2013-12-30       Impact factor: 6.600

  2 in total

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