UoEdinburgh Confidence in Concept 2013

Lead Research Organisation: University of Edinburgh

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.

Publications

10 25 50
 
Description Breast Cancer Now - Sample Predictor CiC2
Amount £200,000 (GBP)
Organisation Breast Cancer Now 
Sector Charity/Non Profit
Country United Kingdom
Start  
 
Description Breast Cancer Research Trust - Sample Predictor CiC2
Amount £100,000 (GBP)
Organisation Breast Cancer Research Trust 
Start  
 
Description CRUK PhD Sample Predictor CiC2
Amount £56,000 (GBP)
Organisation Cancer Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start  
 
Description Company contribution Pharmatics - Learning to Care CiC 2
Amount £85,000 (GBP)
Organisation Pharmatics Limited 
Sector Private
Country United Kingdom
Start  
 
Description European Institutes of Innovation and Technology Grant - Learning to Care CiC 2
Amount € 140,000 (EUR)
Organisation European Institute of Innovation and Technology (EIT) 
Sector Public
Country Hungary
Start 01/2018 
End 12/2018
 
Description Further funding from MRC CiC (3) - PreMDD CiC2
Amount £49,000 (GBP)
Organisation Medical Research Council (MRC) 
Sector Academic/University
Country United Kingdom
Start 07/2016 
End 01/2017
 
Description Industry funding Pharmatic - Learning to Care CiC 2
Amount £120,000 (GBP)
Organisation Pharmatics Limited 
Sector Private
Country United Kingdom
Start  
 
Description Innovate UK - Learning to Care CiC2
Amount £36,000 (GBP)
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start  
 
Description MRC PhD - Transformation of the utility of secondary data in NHS Scotland by forging the missing linkage to imaging data CIC2
Amount £108,000 (GBP)
Organisation Medical Research Council (MRC) 
Sector Academic/University
Country United Kingdom
Start  
 
Description MRC Precision Medicine Lung Solve CIC2
Amount £60,000 (GBP)
Organisation Medical Research Council (MRC) 
Sector Academic/University
Country United Kingdom
Start  
 
Description MRC Precision Medicine PhD - Sample Predictor CiC2
Amount £80,000 (GBP)
Organisation Medical Research Council (MRC) 
Sector Academic/University
Country United Kingdom
Start  
 
Description MRC/EPSRC Infrastructure support - Transformation of the utility of secondary data in NHS Scotland by forging the missing linkage to imaging data CIC2
Amount £20,000,000 (GBP)
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Academic/University
Country United Kingdom
Start  
 
Description MRE CiC2
Amount £131,000 (GBP)
Organisation Siemens Healthcare 
Sector Private
Country Germany
Start  
 
Description PhD bursary - Sample Predictor CiC2
Amount £10,000 (GBP)
Organisation Medical Research Council (MRC) 
Sector Academic/University
Country United Kingdom
Start  
 
Description Sample predictor CiC2
Amount £108,000 (GBP)
Organisation Government of Saudi Arabia 
Sector Public
Country Saudi Arabia
Start  
 
Description Sample predictor CiC2
Amount £108,000 (GBP)
Organisation Cancer Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start  
 
Description The Mentholatum Company - MRE CIC2
Amount £324,000 (GBP)
Organisation The Mentholatum Company Ltd 
Sector Private
Country United Kingdom
Start  
 
Description Wellcome Trust ISSF - Sample Predictor CiC2
Amount £6,000 (GBP)
Organisation Wellcome Trust 
Department Wellcome Trust Institutional Strategic Support Fund
Sector Charity/Non Profit
Country United Kingdom
Start  
 
Description proteomics CiC2
Amount £1,481,356 (GBP)
Organisation The Brain Tumour Charity 
Sector Charity/Non Profit
Country United Kingdom
Start  
 
Description proteomics CiC2
Amount £120,000 (GBP)
Organisation Cancer Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start  
 
Description Aridhia - Lung Solve CiC2 
Organisation Aridhia Informatics Limited
Country United Kingdom 
Sector Private 
PI Contribution Project plan and vision
Collaborator Contribution A multidisciplinary team of data scientists, information governance specialists, computer scientists, software developers and healthcare experts is delivering services across the UK and Europe, working collaboratively with the NHS, research organisations, life sciences companies, IT service providers and patients to transform clinical research into clinical practice.
Impact 1. Created the structure and process for identifying and collecting data including images. 2. Setup and development of the administrative processes required for creation of, development of and access of the safe havens. 3. Creation of standalone analysis applications capable of running in a safe haven environment, performing fully automated analysis of DICOM lung images 4. Creation of visualisation applications to aggregates results across patients and combine with demographic data. Results are visualised through a web browser as graphs or tables. 5. Developed the algorithms and nodule mapping techniques utilised to analyse the scans in order to predict the outcomes. 6. Demonstrated that this can be accessed, inputted to, developed and used - the pipeline operating in a simulated safe haven environment. This is now ready for a national PACS "dump" of CT scans to enable the process for large scale data analysis for radiology.
Start Year 2016
 
Description Blackford Analysis - Lung Solve CIC2 
Organisation Blackford Analysis Ltd
PI Contribution Project plan and vision
Collaborator Contribution Advice and experts on regulatory framework and the possible hurdles to implementation. Blackford have fed into understanding and interacting with the workflow, looking at the PACS interface, integration and reporting as well as looking forward to the commercial considerations.
Impact 1. Created the structure and process for identifying and collecting data including images. 2. Setup and development of the administrative processes required for creation of, development of and access of the safe havens. 3. Creation of standalone analysis applications capable of running in a safe haven environment, performing fully automated analysis of DICOM lung images 4. Creation of visualisation applications to aggregates results across patients and combine with demographic data. Results are visualised through a web browser as graphs or tables. 5. Developed the algorithms and nodule mapping techniques utilised to analyse the scans in order to predict the outcomes. 6. Demonstrated that this can be accessed, inputted to, developed and used - the pipeline operating in a simulated safe haven environment.
Start Year 2016
 
Description CiC 2 Learning to Care 
Organisation MYSPHERA
PI Contribution Applied to Horizon 2020 with MySphera as commercial partner. Application not funded.
Collaborator Contribution Commercial partner in Horizon 2020 application.
Impact Nothing further as application didn't get funded.
Start Year 2017
 
Description CiC 2013 (MRE software) 
Organisation Charité - University of Medicine Berlin
Country Germany 
Sector Academic/University 
PI Contribution The software central to the CiC grant was developed in concert with beta testing at numerous centres using different MRI sequences and field strengths, different vendors, and different organs. Researchers involved in the beta testing are currently at: • Charité Medical University Berlin • Albert Einstein School of Medicine, New York • Mount Sinai Medical Center, New York • Wolfson Brain Imaging Centre, Cambridge • University of Birmingham Department of Engineering
Collaborator Contribution beta testing of system
Impact validated software
Start Year 2015
 
Description CiC 2013 (learning to care) 
Organisation Meteorological Office UK
Country United Kingdom 
Sector Public 
PI Contribution telemonitoring data on predictions of hospital admissions in Telescot.
Collaborator Contribution investigations of the combined effects of weather and telemonitoring data on predictions of hospital admissions in Telescot.
Impact data interpretation
Start Year 2015
 
Description CiC 2013 (learning to care) 
Organisation Pharmatics Limited
Country United Kingdom 
Sector Private 
PI Contribution telle-heath data
Collaborator Contribution machine learning
Impact new algorithm for data analysis
Start Year 2017
 
Description CiC 2014 (Predicting MDD) 
Organisation MQ Transforming Mental Health
Department MQ Fellowship
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Dr Kristin Nicodemus and Prof David Porteous are part of a UK wide network on Data Science established by the new mental health research charity MQ and are main contributors to a position paper being prepared for submission to Lancet Psychiatry.
Collaborator Contribution Treatment pathways
Impact position paper being prepared for submission to Lancet Psychiatry.
Start Year 2015
 
Description CiC 2014 (imaging data) 
Organisation Farr Institute of Health Informatics Research
Country United Kingdom 
Sector Academic/University 
PI Contribution We collaborated with Farr@Scotland, who in developing their research imaging archive independently identified this issue. A prototype of the tool has been used recently in a collaboration, automating the collection of imaging for an identified cohort, which previously had been a labour intensive manual process.
Collaborator Contribution The imaging of the cohort will be used to investigate the development an automated software application that will identify stroke.
Impact processed images
Start Year 2015
 
Description CiC2 Learning to Care 
Organisation Medtronic
Country United States 
Sector Private 
PI Contribution Applied to Horizon 2020 with Medronic as the commercial partner. Passed acceptance threshold but not funded.
Collaborator Contribution Commercial partner for Horizon 2020 application
Impact Nothing further as application didn't receive funding
Start Year 2017
 
Description Farr Institute - Lung Solve CIC2 
Organisation Farr Institute of Health Informatics Research
Country United Kingdom 
Sector Academic/University 
PI Contribution Project plan and vision
Collaborator Contribution Farr is a UK-wide research collaboration involving 21 academic institutions and health partners in England, Scotland and Wales. Publically funded by a consortium of ten organisations led by the Medical Research Council, the Institute is committed to delivering high-quality, cutting-edge research using 'big data' to advance the health and care of patients and the public. EPCC is working closely with the Farr Institute of Health Informatics Research (link is external) to build a new secure, data-driven computational platform for health research.
Impact The most important benefit has been to establish within Edinburgh a pipeline and data environment for image analyses of chest Computerised Tomography (CT) scans in a secure safe haven linked to demographic data and enabling remote access for researchers across the UK. The set up and procedure/pipeline building utilising the multipartner collaboration within the LUNG SOLVE project will have an impact on research going forward. This is within the team and its collaborators and for other researchers across the UK, developing safe haven use and data interrogation within lung disease but also to be utilised across other modalities. Across two sites (and as such demonstrating the set up and use within different parameters) we have: 1. Created the structure and process for identifying and collecting data including images. 2. Setup and development of the administrative processes required for creation of, development of and access of the safe havens. 3. Creation of standalone analysis applications capable of running in a safe haven environment, performing fully automated analysis of DICOM lung images 4. Creation of visualisation applications to aggregates results across patients and combine with demographic data. Results are visualised through a web browser as graphs or tables. 5. Developed the algorithms and nodule mapping techniques utilised to analyse the scans in order to predict the outcomes. 6. Demonstrated that this can be accessed, inputted to, developed and used - the pipeline operating in a simulated safe haven environment.
Start Year 2016
 
Description Industry interaction - Learning to Care CiC 2 
Organisation GlaxoSmithKline (GSK)
Country Global 
Sector Private 
PI Contribution Introductory meeting
Collaborator Contribution Introductory meeting
Impact no outputs
Start Year 2017
 
Description Industry interactions - Learning to Care CiC 2 
Organisation Koninklijke Philips Electronics N.V.
Department Philips
Country Global 
Sector Private 
PI Contribution Introductory conversation
Collaborator Contribution Introductory conversation
Impact no outputs to dates
Start Year 2017
 
Description Industry interactions - Learning to Care CiC 2 
Organisation Linde Group
Country Global 
Sector Private 
PI Contribution Introductory meeting
Collaborator Contribution Introductory meeting
Impact no outputs to date
Start Year 2017
 
Description Johnson and Johnson - PreMDD CiC2 
Organisation Johnson & Johnson
Country United States 
Sector Private 
PI Contribution in discussions based on App
Collaborator Contribution in discussions based on App
Impact no outputs to date
Start Year 2017
 
Description Mentholaturm Company - MRE CIC2 
Organisation The Mentholatum Company Ltd
Country United Kingdom 
Sector Private 
PI Contribution intellectual property
Collaborator Contribution Company provided an introduction to lead scientists in the Healthcare and Beauty divisions of Walgreens Boots Alliance (WBA) following visits to the University of Edinburgh we have submitted a proposal for a project to be funded by WBA concerning MRE studies of the face.
Impact Funding proposal submitted to WBA - outcome to be confirmed in 2018.
Start Year 2017
 
Description Oncomark - Sample Predictor CiC2 
Organisation Oncomark Ltd
PI Contribution General project discussions
Collaborator Contribution General project discussions
Impact No outputs to date
Start Year 2017
 
Description Philips Research - Sample Predictor CiC2 
Organisation Philips Research
Country United States 
Sector Private 
PI Contribution General project discussions
Collaborator Contribution General project discussions
Impact No outputs yet
Start Year 2017
 
Description UCL - Lung Solve CIC2 
Organisation University College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Joint post-doctoral scientist supported by the EPSRC Image guided surgery network
Collaborator Contribution Joint post-doctoral scientist supported by the EPSRC Image guided surgery network
Impact Post-doctoral scientist work will progress the project
Start Year 2017
 
Title Image processing software for producing super resolution MRE 
Description Image processing software for producing super resolution MRE. First high quality image available To provide detailed viscoelastic maps of a target volume, such as soft tissue in a living subject, using an imaging technique that combines magnetic resonance imaging and acoustic imaging techniques, images generated at a plurality of different acoustic frequencies are filtered and post-processed. 
IP Reference (GB1508418.9). 
Protection Patent application published
Year Protection Granted
Licensed No
Impact supporting significant discussions with potential partners
 
Title Prediction of response to endocrine therapy AHS 
Description Directed to the original four gene test and also covers the redefined 2-gene version of the test that has been developed since initial filing and publication. Methods and kits for predicting the response to therapy of cancer. 
IP Reference WO2016092299 
Protection Patent granted
Year Protection Granted 2015
Licensed No
Impact unknown