CORDIS Project
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This project aims to improve disease detection by integrating gut microbiome data with existing health risk factors. By identifying specific bacteria linked to disease onset, it seeks to develop machine learning models for diagnostics and therapeutic products.
The problem:
Much effort has been directed to identifying disease risk factors and indeed, numerous genetic, lifestyle, anthropometric and clinical risk factors are routinely used for this task.
However, the clinical utility of existing risk factors is limited and most of them appear when physiological derangements have already occurred.
The gut microbiome plays a role in human physiology and health and as such, combining it with existing risk factors can lead to earlier and more robust disease…
WEIZMANN INSTITUTE OF SCIENCE
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