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Details of Grant 

EPSRC Reference: EP/N014642/1
Title: EPSRC Centre for Multiscale Soft Tissue Mechanics - with application to heart & cancer
Principal Investigator: Ogden, Professor RW
Other Investigators:
Yin, Dr H Olson, Professor MF Husmeier, Professor D
Watton, Dr P McDougall, Dr S Simitev, Dr RD
Stewart, Dr PS Chaplain, Professor MAJ Berry, Professor C
Hill, Professor NA Smith, Professor G Insall, Professor R
Luo, Professor X
Researcher Co-Investigators:
Project Partners:
ANSYS (International) Clyde Biosciences Ltd Dassault Group
Fios Genomics Ltd Golden Jubilee National Hospital Graz University of Technology
Indian Institute of Science Institute for in silico Medicine LGC Ltd
M D Anderson Cancer Center Medical University of Graz Medviso AB
Mosaiques Diagnostics AG NHS Ninewells Hospital & Medical School
Siemens University of Pittsburgh
Department: School of Mathematics & Statistics
Organisation: University of Glasgow
Scheme: Standard Research
Starts: 01 April 2016 Ends: 31 March 2020 Value (£): 1,998,909
EPSRC Research Topic Classifications:
Continuum Mechanics Non-linear Systems Mathematics
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:
Panel DatePanel NameOutcome
09 Sep 2015 Maths in Healthcare - Interviews Announced
Summary on Grant Application Form
In the diagnosis and treatment of disease, clinicians base their decisions on understanding of the many factors that contribute to medical conditions, together with the particular circumstances of each patient. This is a "modelling" process, in which the patient's data are matched with an existing conceptual framework to guide selection of a treatment strategy based on experience. Now, after a long gestation, the world of in silico medicine is bringing sophisticated mathematics and computer simulation to this fundamental aspect of healthcare, adding to - and perhaps ultimately replacing - less structured approaches to disease representation.

The in silico specialisation is now maturing into a separate engineering discipline, and is establishing sophisticated mathematical frameworks, both to describe the structures and interactions of the human body itself, and to solve the complex equations that represent the evolution of any particular biological process. So far the discipline has established excellent applications, but it has been slower to succeed in the more complex area of soft tissue behaviour, particularly across wide ranges of length scales (subcellular to organ).

This EPSRC SoftMech initiative proposes to accelerate the development of multiscale soft-tissue modelling by constructing a generic mathematical multiscale framework. This will be a truly innovative step, as it will provide a common language with which all relevant materials, interactions and evolutions can be portrayed, and it will be designed from a standardised viewpoint to integrate with the totality of the work of the in silico community as a whole. In particular, it will integrate with the EPSRC MultiSim multiscale musculoskeletal simulation framework being developed by SoftMech partner Insigneo, and it will be validated in the two highest-mortality clinical areas of cardiac disease and cancer.

The mathematics we will develop will have a vocabulary that is both rich and extensible, meaning that we will equip it for the majority of the known representations required but design it with an open architecture allowing others to contribute additional formulations as the need arises. It will already include novel constructions developed during the SoftMech project itself, and we will provide many detailed examples of usage drawn from our twin validation domains. The project will be seriously collaborative as we establish a strong network of interested parties across the UK. The key elements of the planned scientific advances relate to the feedback loop of the structural adaptations that cells make in response to mechanical and chemical stimuli. A major challenge is the current lack of models that operate across multiple length scales, and it is here that we will focus our developmental activities. Over recent years we have developed mathematical descriptions of the relevant mechanical properties of soft tissues (arteries, myocardium, cancer cells), and we have access to new experimental and statistical techniques (such as atomic force microscopy, MRI, DT-MRI and model selection), meaning that the resulting tools will bring much-need facilities and will be applicable across problems, including wound healing and cancer cell proliferation.

The many detailed outputs of the work include, most importantly, the new mathematical framework, which will immediately enable all researchers to participate in fresh modelling activities. Beyond this our new methods of representation will simplify and extend the range of targets that can be modelled and, significantly, we will be devoting major effort to developing complex usage examples across cancer and cardiac domains. The tools will be ready for incorporation in commercial products, and our industrial partners plan extensions to their current systems.

The practical results of improved modelling will be a better understanding of how our bodies work, leading to new therapies for cancer and cardiac disease.
Key Findings
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Organisation Website: http://www.gla.ac.uk