The Second AI in Health & Care Study Group with Industry
Venue: Alan Turing Building, Oxford Road, University of Manchester, M13 9PL
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The Knowledge Transfer Network with the University of Manchester and University of Cardiff is organising two separate, three-day Study Groups based at the respective universities to help UK organisations working in the health & care to understand the value and insight of their data through the application of artificial intelligence.
The Study Groups will take the form of two three-day events held at UK universities where up to 40 UK researchers will work on your set challenge to provide you with insight and potential future R&D avenues.
In recent years, there has been a huge surge in interest in artificial intelligence (AI) for health & care. In a recent speech by the Prime Minister, it was asserted that “the United Kingdom will use data, artificial intelligence and innovation to transform the prevention, early diagnosis and treatment of diseases like cancer, diabetes, heart disease and dementia by 2010.”.
Additional to these areas are huge commercial opportunities in public health, vaccination, medicine discovery and manufacture, mental health services, medical technology for monitoring lifestyle and behaviour.
A key component to developing a successful and booming AI in health and care eco-system is providing tangible examples of the successful application of AI detailing the techniques, successes, and limitations on real data.
These Study Groups will bring researchers from across the UK together with a number of industrial organisations (large, Governmental, SMEs) to tackle some of the most interesting challenges in this sector.
Please note, this Study Group is open to academic researchers at UK research organisations only.
KTN and the University of Manchester are looking for researchers to work on different problems including:
- Development of a Formalin-Fixed Paraffin-Embedded artefact filter for RNAseq based biomarkers – presented by Almac Diagnostic Services
- AI-enabled Prebiotic Discovery Platform presented by Unilever
- Secure Machine Learning for Rare Disease Prediction presented by Mendelian
Costs to Take Part:
The majority of the Study Group is paid for by the sponsoring organization (Innovate UK), however there will be a nominal registration fee of £30. This fee will cover accommodation and meals. We also ask that travel costs should be sought from attendees’ own institutions.
To find out more or to register for the Manchester event please follow the link below or alternatively, click here.