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Unlocking the power of computational modelling and simulation across the product lifecycle in life sciences: A UK Landscape Report

Authors: Frangi, AF; Denison, T; Myles, P; Ordish, J; Brown, P; Turpin, R; Kipping, M; +17 Authors

Unlocking the power of computational modelling and simulation across the product lifecycle in life sciences: A UK Landscape Report

Abstract

This report Outlines the public health and economic benefits of using in silico technologies (ISTs) to refine, reduce, and even replace the need for conventional human clinical trials and animal and physical testing in the development of new medical products, Describes current barriers to the expanded use of ISTs, Identifies opportunities for the UK to spearhead the global effort to develop ISTs, making the UK a leader in the field and, therefore, friendly to inward investors, Details the significant commercial and economic benefits in the development of the UK life sciences sector and broader societal benefits to the NHS, UK, and the world in general, Makes recommendations on how the UK government can support this industrial and regulatory transition.

InnovateUK KTN and the Royal Academy of Engineering Chair in Emerging Technology (INSILEX CiET1819/19) funded this report. We also acknowledge contributions from many members of the InSilicoUK Innovation Network (www.insilicouk.org).

Country
United Kingdom
Keywords

lifesciences, in silico testing, in silico medicine, in silico trials, regulatory science, pharmaceuticals, medical devices

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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