The overall objective of EXIMIOUS is to bring about a new way of assessing the human exposome by combining innovative ways of characterizing and quantifying multiple environmental  exposures (exposomics) and mapping exposure-induced immune effects  (immunomics).

New bioinformatics tools will be developed through the use of systems biology, artificial intelligence and machine learning that will first combine and then analyse the datasets that link exposome, immunome, and other omics data with clinical and socio-economic data of individuals.

By exploring the entire pathway from exposome, to immune fingerprint, to disease during a person’s lifetime (including prenatal exposures) we will better understand the factors that lead to exposure-related immune effects at different stages of people’s lives. In addition we will pinpoint the most critical types of exposure and the individuals/groups bearing the highest risk in order to put in place the right preventative actions and policies at the individual, group and population levels.