By Prof. Dr. Peter Hunter, Auckland Bioengineering Institute, University of Auckland, New Zealand
Computational physiological models deal with multiple physical processes (coupled tissue mechanics, electrical activity, fluid flow, etc) at multiple spatial and temporal scales. In many cases the goal is to understand integrative biological function in terms of underlying tissue structure and molecular mechanisms. These models are intended both to help understand physiological function and to provide a basis for diagnosing and treating pathologies in a clinical setting. The Physiome Project is developing model and data encoding standards, web accessible databases and open source software for multiscale modelling (e.g. www.cellml.org). A new journal called Physiome will soon be launched to publish reproducible and reusable models. The talk will discuss the current state of the Physiome Project, including a summary of a multi-physics mathematical framework based on port-Hamiltonians for modelling physiology, and a project to map the pathways of the autonomic nervous system (commonfund.nih.gov/sparc).
Curriculum vitae:
Professor Peter Hunter is Director of the Auckland Bioengineering Institute (ABI) at the University of Auckland, and founding Director of the Medical Technologies Centre of Research Excellence (MedTech CoRE). His research interests are in modeling human physiology using an anatomical and biophysically-based multiscale approach that links molecular processes to tissue level phenotypes. He was awarded the Rutherford Medal and a KEA World Class NZ award in 2009 and appointed to the NZ Order of Merit in 2010. He is an elected Fellow of the Royal Society (London and NZ), President of the World Council of Biomechanics, 2nd Vice-President of the International Union of Physiological Sciences (IUPS), and past-Chair of the International Academy of Medical and Biological Engineering.
Registration is closed.
The colloquium will be live streamed, please use the following link: https://hitsmediaweb.h-its.org/Mediasite/Play/22f74231fb8f494ab7b719c52b17d5a01d
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