Beyond the "one-size fits all" guidelines for nutrition: Precision nutrition with AI, multiomics and digital twins

Prof. Josef Neu delivers a compelling exploration of the future of neonatal nutrition, focusing on precision approaches for preterm infants. In this insightful talk, he emphasizes the transition from generalized nutritional guidelines to individualized strategies powered by artificial intelligence (AI), machine learning (ML), and multiomics. Prof. Neu details how these cutting-edge technologies can predict and optimize care, preventing complications like necrotizing enterocolitis and promoting better growth and development.
Key highlights include the importance of integrating maternal and neonatal factors, the potential of clustering infants into nuanced phenotypes, and the revolutionary concept of "digital twins" for real-time, tailored nutritional interventions.