Discipline Hopping x2: a next generation framework for multidisciplinary research between mathematics and regenerative medicine

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The overall goal of our reciprocal Discipline Hopping proposal is to explore and identify ways in which mathematical modelling may be embedded in all stages of the regenerative medicine pipeline, from the initial laboratory experiments, to quantitative assessment of the cellular microenvironment, to optimisation of tissue engineering protocols, through to successful translation to the clinic.The field of regenerative medicine has reached a key point in its development. As an exciting new advance brought in over the past 15-20 years, the potential for a major step change in healthcare therapy in the UK and worldwide was recognised. However, the complexity of the task was underestimated. To realise the full clinical potential offered by regenerative medicine, many facets of the field must be determined and defined to the standards and rigour of the scientific, regulatory and clinical community. While there is no doubt that many exciting and novel technologies and cell based approaches have been identified, they lack the quantitative approach and the predictive ability which is needed to make the long journey to the clinic.To truly embed mathematics in regenerative medicine, a deeper understanding of the interplay between the two fields is required, achievable through a collaborative approach for both scientists. In order for us to define a new field in Quantitative Regenerative Medicine, we need participation in, and exposure from, both disciplines across the divide. We will achieve this by spending dedicated time in each other's research Institutions. Outcomes from our research will include an opinion article, research publications in internationally-leading high-quality journals, workshops linked to national and international meetings, and a framework for a novel interdisciplinary Centre for Doctoral Training application, which will train a new generative of highly skilled researchers at the interface between mathematics and regenerative medicine.