Description

This funding opportunity from the European Commission aims to accelerate the development and validation of artificial intelligence (AI) algorithms for the interpretation and annotation of high-throughput foodomics data, such as those generated by untargeted mass-spectrometry or nuclear magnetic resonance. The initiative targets the comprehensive identification, structural characterization, and quantification of both endogenous and exogenous chemicals in food. Projects should also enable AI to infer the presence and concentration of compounds from incomplete data, leveraging innovative approaches like phylogenetic relationships and facilitating the identification of analytical methods and potential food safety hazards.

The call encourages the creation of a European research and innovation network in food exposome research, supporting the standardization, valorization, and dissemination of AI outputs. Proposals should foster collaboration among academia, research infrastructures, industry, startups, SMEs, and international initiatives, building synergies across sectors and countries.