New ground-breaking study on endometriosis screening funded by NICHD

Current methods for diagnosing endometriosis are not effective in identifying at-risk women, often leading to delayed diagnoses due to normalization of pain and overlapping symptoms with other conditions. Our goal is to create integrated risk models considering both genetic and non-genetic factors to develop screening methods for early identification of endometriosis across different clinical presentations. This approach aims to enable earlier, more accurate diagnosis, and potentially prevent long-term effects in the 200,000+ women diagnosed annually. Our research focuses on developing non-invasive computational methods to screen and diagnose endometriosis, predict long-term effects, and identify at-risk patients based on rigorous integrated risk models.