Advances and opportunities in measuring dietary intake: from omics to AI

Accurate measurement of dietary intake remains a cornerstone challenge in optimizing the efficacy of nutritional interventions in human disease. Traditional self-reporting methods, although scalable and widely used, are prone to major bias and measurement error, thereby limiting their precision and clinical utility. In this Review, we highlight recent advances in technology-assisted food intake measurement, including image-based logging, wearable sensors and artificial intelligence (AI)-based dietary estimation, which may reduce reliance on recall and improve intake estimation. We review the emergence of non-invasive biological methodologies, such as metagenome-informed metaproteomics, in accurately enabling objective measurement of food intake and nutrient digestion and absorption in molecular resolution. We explore the possible interactions and effects of the gut microbiome in modulating such person-specific digestive and absorptive patterns and discuss challenges and prospects in the convergence of omics-based, measurement-based and AI-based dietary assessment tools into precision nutrition, in fulfilling its immense potential towards optimization of patient care.