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Details of Grant 

EPSRC Reference: EP/X033686/1
Title: Real-time Digital Twin Assisted Surgery
Principal Investigator: Shu, Professor W
Other Investigators:
Luo, Professor X Connolly, Professor P Kazakidi, Dr A
Stewart, Professor GD Tsaftaris, Professor S O'Neill, Professor K
Researcher Co-Investigators:
Project Partners:
Kidney Cancer UK National Manufacturing Inst Scotland NHS Golden Jubilee
Olympus Surgical Technologies Europe Organlike Ltd Prometheus Regeneration Holdings Ltd
Department: Biomedical Engineering
Organisation: University of Strathclyde
Scheme: Standard Research
Starts: 01 September 2023 Ends: 31 August 2027 Value (£): 3,989,538
EPSRC Research Topic Classifications:
Biomaterials Med.Instrument.Device& Equip.
Tissue Engineering
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:
Panel DatePanel NameOutcome
13 Feb 2023 HT 2.0 Second Phase Interview Panel Announced
17 Jan 2023 Transformative HT 2.0 Second Phase Announced
Summary on Grant Application Form
Surgery is a critical treatment delivered by NHS. Pre-COVID19 data (2004-2014) suggest a 27% increase in surgeries in England (>10 million operations performed). Despite >1.5 million cancelled or postponed surgeries in 2020 due to COVID19 (~33.6% reduction in England and Wales) and rocketed waiting lists for cancer surgery likely resulting in more deaths, tumour resection surgeries have recently resumed and remain high (e.g. ~51% of diagnoses received a kidney tumour resection in 2021). The total UK economic burden of surgery was ~£54.6 billion between 2009-2014 (£10.9 bn pa), amounting to 9.4% of the total NHS budget (£117 billion, 2013-2014). There is a clear clinical need for minimising surgical operations, healthcare costs, patient waiting lists, and associated patient complications.

To address this need, we aim to digitally transform future surgery, particularly for cancer, by creating a ground-breaking real-time digital twin assisted surgery (DTAS) technology. The patient is at the core of this technology, with significant and measurable benefits for their quality of life and healthcare. DTAS can be applied to several types of surgery (open, minimally invasive, or robotic surgery), for high precision tumour removal even in a partial organ resection. A parallel goal is to revolutionise surgical training, offering a new paradigm of patient-centred personalised surgical rehearsal. This project is timely and will be delivered by an internationally competitive, highly experienced multidisciplinary team, capable of delivering our vision. Our team covers several disciplines, including the lived experience from patients; health technologies; bioengineering; digital twin (DT) technology; artificial intelligence (AI); mathematical science; numerical simulation.
Key Findings
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Potential use in non-academic contexts
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Organisation Website: http://www.strath.ac.uk