laboratory equipment and services Consultancy Education and Training

Ukri Centre Doctoral Tender

πŸ›οΈ UNIVERSITY OF LEEDS
πŸ“„ Tender ID: 450129858 πŸ“… Published: 02 Jan 2020

πŸ“‹ Tender Overview

ScopeArtificial Intelligence AI has advanced rapidly over the last five years largely as a result of new algorithms affordable hardware and huge increases in the availability of data in digital form. The UK has recognised as a national priority the urgent need to exploit AI in human health where digital data is being created from many sources for example images from tissue slices X-ray devices and ultrasound along with laboratory tests genetic profiles and the health records used by GPs and hospitals. The potential is enormous. In future AI could automatically identify those at risk of cancer before symptoms appear suggesting changes in lifestyle that would reduce long-term risk. It could greatly speed-up and increase the reliability of diagnostic services such as pathology and radiology. It could help doctors and patients select the most appropriate care pathway based on personal history and clinical need. Such improvements will lead to better care and more cost-effective use of resources in the NHS. Our Centre for Doctoral Training will train the future researchers who will lead on this transformation. They will come from a variety of backgrounds in science engineering and health disciplines. When they graduate from the Centre after four years they will have the AI knowledge and skills coupled with real-world experience in the health sector to unlock the immense potential of AI within the health domain.

πŸ” Key Information

πŸ“„
Tender Reference No.
450129858
πŸ“…
Publication Date
02 Jan 2020
πŸ’°
Estimated Value
N/A
🌐
Sector
laboratory equipment and services
πŸ“…
Deadline
31 Dec 2027
πŸ“
Notice Type
Projects
πŸ“
Location
United kingdom
πŸ“‘
Contract Duration
7 Years 11 Months 29 Days

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πŸ•’ Submission deadline
427
days remaining Β· 31 Dec 2027
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🧭 Quick Facts

Authority UNIVERSITY OF LEEDS
Country United kingdom
State / UT N/A
Tender Type Project Information
Currency N/A
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