biostudies-literatureUnknown3Mbuguiro WEndometriosis is a common but poorly understood disease. Symptoms can begin early in adolescence, with menarche, and can be debilitating. Despite this, people often suffer several years before being correctly diagnosed and adequately treated. Endometriosis involves the inappropriate growth of endometrial-like tissue (including epithelial cells, stromal fibroblasts, vascular cells, and immune cells) outside of the uterus. Computational models can aid in understanding the mechanisms by which immune, hormone, and vascular disruptions manifest in endometriosis and complicate treatment. In this review, we illustrate how three computational modeling approaches (regression, pharmacokinetics/pharmacodynamics, and quantitative systems pharmacology) have been used to improve the diagnosis and treatmFrontiers in reproductive health699133https://www.ebi.ac.uk/biostudies/studies/S-EPMC9580807biostudies-literatureComputational Models for Diagnosing and Treating Endometriosis.PMC9580807Gonzalez ANMbuguiro WMac Gabhann FfalseComputational Models for Diagnosing and Treating Endometriosis.Endometriosis is a common but poorly understood disease. Symptoms can begin early in adolescence, with menarche, and can be debilitating. Despite this, people often suffer several years before being correctly diagnosed and adequately treated. Endometriosis involves the inappropriate growth of endometrial-like tissue (including epithelial cells, stromal fibroblasts, vascular cells, and immune cells) outside of the uterus. Computational models can aid in understanding the mechanisms by which immune, hormone, and vascular disruptions manifest in endometriosis and complicate treatment. In this review, we illustrate how three computational modeling approaches (regression, pharmacokinetics/pharmacodynamics, and quantitative systems pharmacology) have been used to improve the diagnosis and treatm2021-01-01T00:00:00Z20212026-04-08T18:20:55.324Z2025-04-07T09:17:09.688ZS-EPMC95808073630395910.3389/frph.2021.699133