University of Sheffield – Confidence in Concept 2019
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 (CIC) scheme is a key part of MRC’s translational research strategy and provides annual awards to institutions to flexibly support a portfolio of early stage translational research projects. CIC is designed to accelerate the transition from discovery research to viable translational projects by supporting preliminary studies to establish proof-of-concept so that the approach will then become competitive for more substantial translational funding.
Publications
Childs C
(2023)
Cutaneous Perfusion Dynamics of the Lower Abdomen in Healthy Normal Weight, Overweight and Obese Women: Methods Development Using Infrared Thermography with Applications for Future Wound Management after Caesarean Section
in International Journal of Environmental Research and Public Health
Giles J
(2022)
A Transfer Learning Algorithm to Reduce Brain-Computer Interface Calibration Time for Long-Term Users.
in Frontiers in neuroergonomics
Mansour S
(2022)
Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface.
in Scientific reports
Ramlakhan S
(2022)
Understanding and interpreting artificial intelligence, machine learning and deep learning in Emergency Medicine.
in Emergency medicine journal : EMJ
Ramlakhan SL
(2022)
Building artificial intelligence and machine learning models : a primer for emergency physicians.
in Emergency medicine journal : EMJ
Shobayo O
(2022)
Infrared Thermal Imaging and Artificial Neural Networks to Screen for Wrist Fractures in Pediatrics
in Technologies
| Description | Regulatory Horizons Council: the regulation of neurotechnology |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| URL | https://www.gov.uk/government/publications/regulatory-horizons-council-the-regulation-of-neurotechno... |
| Description | Research Ethics Training |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Title | Machine learning algorithms for stroke rehabilitation |
| Description | Machine learning algorithms for reducing calibration time and number of electrodes for Brain Computer Interface treatment when used for stroke rehabilitation. |
| Type Of Material | Physiological assessment or outcome measure |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | Unknown |
| Title | Secondary Electron Hyperspectral Imaging (SEHI) validation |
| Description | This project aims to reduce the risks and accelerate development of biomaterials for use in the pelvic floor by introducing a new surface imaging technique. We have been able to validate the sensitivity of the SEHI technique by recording its ability to respond to macrophages which become activated to a pro-inflammatory phenotype when cultured on the stretched and oxidised mesh. This has not been achieved before and is only possible because of the extreme sensitivity of the technique. |
| Type Of Material | Biological samples |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | Our impact pathway is ongoing. We have developed a collaboration with a group in Germany who have explanted human tissues and are willing to conduct collaborative research. We are preparing a submission to BBSRC to take this work further. |
| Title | In vitro model for biomaterial testing |
| Description | We have developed an in vitro model that could potentially help reduce animal testing of biomaterials. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2023 |
| Provided To Others? | No |
| Impact | None yet. |
| Description | Industrial Collaboration - Footfall and Heartbeats |
| Organisation | Footfalls and Heartbeats |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Partnership building and collaboration to continue a CiC-funded project |
| Collaborator Contribution | Partnership building and collaboration to continue a CiC-funded project |
| Impact | Ongoing investigation into the reliability and design of a product. No outputs or outcomes to report at this stage. |
| Start Year | 2021 |
| Description | Pint of Science |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | Pint of Science is an annual worldwide science festival which brings researchers to your local pub/cafe/space to share their scientific discoveries with you - no prior knowledge required. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://pintofscience.co.uk/ |
| Description | The NIHR Sheffield Biomedical Research Centre (BRC) and Clinical Research Facility (CRF) Showcase |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Industry/Business |
| Results and Impact | The NIHR Sheffield Biomedical Research Centre (BRC) and Clinical Research Facility (CRF) is a joint showcase event, highlighting the latest in medical research and clinical trials happening across Sheffield. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.sheffieldbrc.nihr.ac.uk/news-events/sheffield-brc-and-crf-showcase-event |