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A pioneering £4.8 million study led by the University of East Anglia (UEA) will utilize artificial intelligence to investigate the connections between chronic inflammation, diet, and the risk of developing multiple long-term health conditions. The InflAIM project aims to address the growing prevalence of multimorbidity, which affects over 25% of the adult population in the UK. By analyzing large datasets, the study seeks to uncover new interventions that can improve health outcomes for at-risk individuals.
The research will focus on understanding how inflammation serves as a biological driver for conditions like diabetes and arthritis, while also examining the impact of nutrition and social factors. A multidisciplinary team, including experts from various fields, will ensure that the findings are inclusive and applicable to diverse populations. This innovative approach aims to create effective strategies for managing long-term health conditions and enhancing the quality of life for many.
• AI will analyze data to uncover health condition links.
• The study aims to improve interventions for multimorbidity.
AI is used in this study to analyze large datasets for health insights.
The study leverages big data to identify health trends and risks.
The research will develop advanced predictive models to assess health risks.
UEA leads the InflAIM project to explore health conditions using AI.
NIHR supports the InflAIM project to address long-term health challenges.
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