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Inflammation, nutrition and the evolution of multiple long-term conditions - an AI-based analysis of intersectionality in longitudinal health data (inflAIM)
Participants
Summary
The InflAIM project is an 8-year multi centre project in the analysis of multiple long-term conditions led by UEA. Within this consortium, the Health Technologies group at the School of Computing Sciences leads the development of novel AI methods to learn patterns in the co-occurance of multiple diseases over a lifespan. Utlizing some of the largest health datasets available such as the Clinical Practice Research Datalink and UK Biobank, our aims are to further develop the state of the art AI to model and predict disease progressions and to give new insights into relationships between multiple long term conditions in an explainable way.
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Funding
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Partners
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