UoSheffield Confidence in Concept 2013
Lead Research Organisation:
University of Sheffield
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Technical Summary
The Confidence in Concept scheme is a key part of MRC’s translational research strategy and provides annual awards to institutions, to be used flexibly to support the earliest stages of multiple translational research projects. The award can be used by the institution to support a number of preliminary-stage translational projects. The projects supported should aim to provide sufficient preliminary data to establish the viability of an approach –– before seeking more substantive funding. It is intended to accelerate the transition from discovery research to translational development projects by supporting preliminary work or feasibility studies to establish the viability of an approach.
Organisations
Publications
Roman S
(2018)
Visualisation of the insertion of a membrane for the treatment of preterm rupture of fetal membranes using a synthetic model of a pregnant uterus.
in Journal of biomaterials applications
Roman S
(2015)
Development of an implantable synthetic membrane for the treatment of preterm premature rupture of fetal membranes
in Journal of Biomaterials Applications
Solanki R
(2021)
The importance of three dimensional coronary artery reconstruction accuracy when computing virtual fractional flow reserve from invasive angiography.
in Scientific reports
Williams R
(2014)
Computational Models of the NF-KB Signalling Pathway
in Computation
Williams RA
(2015)
The rise in computational systems biology approaches for understanding NF-?B signaling dynamics.
in Science signaling
Williams RA
(2016)
Statistical Techniques Complement UML When Developing Domain Models of Complex Dynamical Biosystems.
in PloS one
Wong SQ
(2018)
A Caenorhabditis elegans assay of seizure-like activity optimised for identifying antiepileptic drugs and their mechanisms of action.
in Journal of neuroscience methods
Description | (FEN INHIBITORS) - Development of Kinetoplastida Flap Endonuclease Inhibitors in Search for Novel Therapeutics |
Amount | € 319,400 (EUR) |
Funding ID | 843245 |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 02/2020 |
End | 01/2023 |
Description | Clinical Lectureship |
Amount | £200,000 (GBP) |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 09/2016 |
End | 09/2019 |
Description | Clinical Research Fellowship |
Amount | £1,760,000 (GBP) |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 09/2017 |
End | 08/2022 |
Description | Developing new molecules to treat antimicrobial resistant gonorrhoea |
Amount | £471,975 (GBP) |
Funding ID | 971625 |
Organisation | Innovate UK |
Sector | Public |
Country | United Kingdom |
Start | 02/2019 |
End | 01/2020 |
Description | Development of inhibitors of bacterial flap endonucleases for use as antimicrobial agents |
Amount | £140,000 (GBP) |
Funding ID | 132660 |
Organisation | Innovate UK |
Sector | Public |
Country | United Kingdom |
Start | 03/2017 |
End | 02/2018 |
Title | VOLUMETRIC BLOOD FLOW |
Description | A computer-implemented method of determining data indicating volumetric flow rate within an artery. The method comprises receiving data indicating a proximal pressure measurement relative to a direction of blood flow; receiving data indicating a distal pressure measurement relative to the direction of blood flow; wherein the proximal pressure measurement and the distal pressure measurement are obtained using at least one pressure transducer; receiving geometric model data representing the artery, wherein the geometric model data is generated based upon image data indicative of the artery; and computing a volumetric flow rate with in the artery, wherein computing comprises performing a numerical simulation of blood flow through the artery based upon the geometric model data, the data indicating a proximal pressure measurement and the data indicating a distal pressure measurement. |
IP Reference | WO2020035662 |
Protection | Patent granted |
Year Protection Granted | 2020 |
Licensed | Commercial In Confidence |
Impact | Commercial In Confidence |
Company Name | DEFENITION LIMITED |
Description | Research and experimental development on biotechnology; identifying and developing bacterial FENs inhibitors for use as antibiotic agents |
Year Established | 2016 |
Impact | Research and experimental development on biotechnology https://gtr.ukri.org/organisation/F2281468-1587-4E48-A868-B2B0209D0798 |