Recent development of various -omics technologies have made it possible to generate a molecular profile of all gene sequence/activity, proteins, and metabolites from biospecimens. The objective of this course is to cover these new methods and highlight how big data generated from these approaches can contribute to the implementation of personalized medicine and the development of new treatments.

We will provide technical information in lay terms about select -omics technologies (transcriptomics, (epi)genomics, proteomics, metabolomics) and machine learning/ artificial intelligence analyses methods that are applied to -omics big data to help make sense of complex information and draw important conclusions. Moreover, we will discuss the CRISPR/Cas9 gene editing tool and their potential use in the clinical setting. Significant time will be spent on the liver rescue as an example of how these emerging technologies can be applied to help promote health. Subtopics relevant to this example include inflammation, fatty liver disease, autoimmune diseases, diabetes and fatigue. The format of the course will be mini-lectures and active discussions. Optional reading materials will provide additional information and discussion points.