Utilizing CT Based Imaging Parameters of Body Composition to Understand Heterogeneity of Response to Biologic Therapies in Severe Asthma Cohorts

This study will utilize University of Michigan EMR data to form a retrospective cohort of severe asthma patients on biologic therapies for asthma with computed tomography (CT) imaging and known outcomes on therapy. These images will then be analyzed using morphomics, a combination of high-throughput image analysis and deep learning techniques, to derive imaging biomarkers that will be able to predict therapeutic response to biologics. These biomarkers will then be tested in a second cohort from the National Jewish Health to assess for validity.