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| Funder | NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES |
|---|---|
| Recipient Organization | University of California, San Francisco |
| Country | United States |
| Start Date | Sep 20, 2024 |
| End Date | Aug 31, 2025 |
| Duration | 345 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | NIH (US) |
| Grant ID | 11080629 |
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.
University of California, San Francisco
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