Quantum Algorithms for Cognitive Healthcare
Lead Participant:
SIEMENS HEALTHCARE LIMITED
Abstract
The healthcare industry is experiencing an explosion of data and at the same time the cost of healthcare is rising. Cognitive computing in healthcare is using big data in conjunction with advanced machine learning and supercomputers/cloud services to help doctors detect diseases earlier, improve therapeutic outcomes and ultimately reduce the cost of care. In this feasibility study we will investigate the use of quantum machine learning algorithms to improve cognitive computing in healthcare. Algorithms running on quantum processors have the potential to perform extremely fast calculations to solve problems that are computationally intractable with classical computers. This offer significant potential when extracting meaningful, decision level information from from medical images.
Lead Participant | Project Cost | Grant Offer |
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SIEMENS HEALTHCARE LIMITED | £207,954 | £ 103,977 |
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Participant |
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UNIVERSITY COLLEGE LONDON | ||
UNIVERSITY COLLEGE LONDON | £105,192 | |
ALPHA ELECTRO-TECHNOLOGY LIMITED | ||
INNOVATE UK |
People |
ORCID iD |