This opportunity funds projects developing validated AI algorithms to interpret and annotate high-throughput foodomics data, such as from mass spectrometry and nuclear magnetic resonance. It aims to accelerate identification and quantification of thousands of food compounds, addressing the "nutrient dark matter" in food chemistry. Proposals should foster European research networks including academia, industry, startups, and SMEs to standardize and disseminate AI-driven food exposome research results.
Eligible applicants must comply with admissibility conditions including proposal page limits and layout, be from eligible countries as described in the Horizon Europe Work Programme, and not be controlled by entities from China. Applicants must demonstrate financial and operational capacity and adhe
