Using advanced analytics to help identify women who are more likely to have a severe subjective experience of vulvovaginal atrophy: a modeling study
Volume 39, Issue 1, December 2023 .
Source: Gynecological Endocrinology - Category: Endocrinology Authors: Rossella E. NappiNicholas PanaySantiago PalaciosVivek BanerjiGenevieve HallMartire ParticcoDan Atkinsa Department of Clinical, Surgical, Diagnostic and Paediatric Sciences, University of Pavia, Pavia, Italyb Research Center of Reproductive Medicine, Unit Source Type: research