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Search the SBRI Healthcare and NHS Cancer Programme Innovation Open call portfolio.
If you would like further information on any of the companies listed in the Directory please contact the SBRI Healthcare PMO by email sbri@lgcgroup.com or tel: +44 20 8843 8125.
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At a glance
Directory search results
Corporate Health International UK Ltd
| Project | Creating highly automated, primary-care delivered video capsule endoscopy diagnostics |
|---|---|
| Description |
Optical colonoscopy (OC) is the main bottleneck for bowel cancer diagnosis. Video Capsule Endoscopy (VCE) can replace many investigative OCs. It can be on par or better in medical accuracy. It can be on par or better in economics. It is superior in patient-experience. However, to fulfil all of these claims at scale, VCE has to be delivered via primary care and in a standardized, digitally enabled, and highly automated way. We propose to create a digital health platform with automated video analysis that can scale from small scale deployments to population screening programs |
| Funding | £ 82,283 |
| Competition | Competition 13 - Cancer: screening, earlier and faster diagnosis |
| Competition Date | September 2017 |
| Categories | Cancer |
| Health Innovation Network Partner | |
| Website | http://corporatehealth.co.uk/ |
DeepMed IO
| Project | Deep learning powered metastases detection system for digital pathology |
|---|---|
| Description |
More than 13,000 UK cancer patients wait too long for treatment due to a diagnostic bottleneck. Detection of metastases in stained lymph-node sections requires large amount of reading time from pathologists; the main liability of the diagnostic bottleneck. DeepMed IO proposes the implementation of a Deep Learning system for automatic identification of metastatic regions increasing diagnostic accuracy and speed. The system will be implemented as an embeddable module in the accompanying software of Whole Slide Imaging systems as well as a mobile App enabling access to cutting-edge AI diagnostic technology and telemedicine even to remote and underdeveloped regions |
| Funding | £ 894,143 |
| Competition | Competition 13 - Cancer: screening, earlier and faster diagnosis |
| Competition Date | September 2017 |
| Categories | Cancer |
| Health Innovation Network Partner | Greater Manchester AHSN |
| Website | https://www.deepmed.io/ |
FaHRAS
| Project | FaHRAS Cancer Risk Assessment Software |
|---|---|
| Description |
FaHRAS supplies a sophisticated evidence-based software system which enables a user to run a variety of analyses against their family history to quantify their risk of developing cancer. |
| Funding | £ 83,313 |
| Competition | Competition 13 - Cancer: screening, earlier and faster diagnosis |
| Competition Date | September 2017 |
| Health Innovation Network Partner | East Midlands AHSN |
| Website | http://www.fahras.co.uk/ |