Using multi-omics to predict chronic diseases outcomes

Project Summary

As people age, the risk od developing chronic diseases increases, including sarcopenia, cancer, obesity, type 2 diabetes, and cardiovascular diseases. Technological developments allow better understanding of molecular factors that can be used as disease development markers. Those technologies consist of multi-omics, including genomics (the individual’s unique gene functions), and metabolomics (small molecules that indicate mtabolic processes). Multi-omics changes can precede health changes and chronic diseases development. However, advanced computing approaches, such as artificial intelligence (AI), are necessary to analyze the large amount of data generated by multi-omics. This project aims to classify individuals according to multi-omics profile and predict health outcomes and chronic disease risk using AI. Based on this information, individuals at higher risk can receive targeted health care to prevent and treat chronic diseases.