Project Summary Psoriasis and atopic dermatitis are common, immune-mediated skin diseases that are significantly influenced by environmental factors. Developing remote monitoring technologies capable of capturing these environmental factors and their effect on skin disease would advance exposome research. In this study, we use non-invasive biosample collection methods and bioinformatic and machine learning approaches to monitor changes in the skin of patients with psoriasis and atopic dermatitis. This study will advance our knowledge of the cutaneous immunobiology of inflammatory skin disease and provide new paradigms for remote, home- based research.