We live in a revolutionary era during which technology  is leading to amazing advances in medicine.  Parallel and aided by the development of artificial intelligence (AI) are the emergence of the various “Omic” disciplines. These “omics” (genome, microbiome, transcriptome, proteome, metabolome, etc. ) can now be integrated using various bioinformatic platforms that meld nature (the genome) with nurture (the effects of the environment) that illustrate mechanisms of normal physiology and disease. These multiomics combined with the power of AI are opening new avenues for biomarker discovery, disease prevention and therapeutics.
In this lecture review, we will discuss some of the advances that AI is bringing to the field of perinatology and neonatology. We will provide an overview of current capabilities and where we may be headed in the next couple of decades.

Learning Objectives: 

1. Elaborate on the rationale for integration of different “omic” technologies.
2. Discuss several disease entities in the perinatal/neonatal period as well as strategies for personalize nutrition that might be elucidates with the multiomic integration and AI.
3. Contrast the advantages of multiomics versus single omics.