Integrative analysis of multi-omics longitudinal data to identify effective strategies for the prediction and treatment of COVID-19

Some COVID-19 patients develop very severe respiratory symptoms, while others experience mild flu-like symptoms. Although it is clear that genetic and non-genetic factors influence the severity of the disease course, the underlying molecular mechanisms are unknown. As a result, the course of the disease for an individual cannot currently be predicted. Research and expected outcomes This project aims to gain more insight into the disease and predict its progression by using long-term measurements of multi-omics data. With the ultimate goal of developing a treatment strategy for individual patients.