The aim is to provide a framework to predict the effects of changing diet, or administration of probiotics, prebiotics or drugs on the microbiome of a specific individual which will enable design of personalized intervention strategies.
Microbial data to populate the digital twin will be derived from stool samples that will deliver microbiota composition as well as information from metagenomics, metabolomics and metaproteomics. Other data (demographic, anthropometric, potential biomarkers) will also be used. Some weeks after implementing an intervention (e.g. taking prebiotics), new stool samples will be used to update the digital twin and if necessary, the intervention. This process can be repeated until no further improvements are needed.
|Effective start/end date||1/01/19 → 31/12/19|