Bio-nano technologies, together with advances in precision and personalised medicine, are likely to profoundly change health care practices. By exploring the social dimensions of research across this area of work, in collaboration with key CBNS research initiatives, this programme will provide insights into the societal dimensions of predictive bio-nano technologies. This project seeks to address key questions related to the intersection between big data, healthcare, personalised and precision medicines, and regulation.
The proposed programme of work will entail the use of the following social science methodologies, and will be facilitated by a range of cross-node collaborations.
These methods include:
How can we understand the social dimensions of personalised and precision medicine, at the interface between bio-and nano-technology? Social science methodologies have often struggled to keep pace with new and emerging technologies – and have largely separated social questions from processes of technology development. This programme is designed to document the ‘imagined social worlds’ that underpin research in precision and personalised medicine, particularly in areas such as bio-nano sensor technologies, targeted cancer therapies and vaccines. We will also explore how advances in precision medicine rely upon advances in computational models and tools, development of large-scale health databases, and patient characterisation methodologies. We seek to uncover how research across these fields may precipitate new social practices.
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