NNIW 100 Interviews: Josef Neu

Artificial intelligence (AI) holds potential promise in the management of preterm infants, particularly in predictive analytics and multiomics analysis. Rather than relying solely on conventional growth curves, which may detect nutritional issues too late, AI offers proactive solutions. Machine learning and AI techniques can identify high-risk infants, allowing for nuanced and timely interventions. AI can analyze not only microbial composition but also metabolomics and proteomics, leading to integrated multiomics analysis. This enables the development of targeted mechanisms for specific clusters of infants. Early biomarkers can be deployed in hospitals and clinical labs to identify those at highest risk of nutritional problems and intestinal dysfunction. AI aids in categorizing high-risk infants and ensures early intervention, thereby enhancing the overall care of preterm babies.