{"paper_id":"310ec546-4129-4e78-83b1-fcb454fbe4b5","body_text":"Overview\n- Summarizes the latest diagnostic performance of non- or semi-invasive tests for endometriosis\n- Reviews the key current research and developments of biomarkers in related fields\n- Explores the future developments necessary to create a successful non-invasive test for endometriosis\n- Includes supplementary material: sn.pub/extras\nAccess this book\nTax calculation will be finalised at checkout\nOther ways to access\nAbout this book\nSimilar content being viewed by others\nTable of contents (12 chapters)\nEditors and Affiliations\nAbout the editor\nThomas M. D’Hooghe is Professor of Reproductive Medicine in the Deparment of Development and Regeneration of the Biomedical Sciences Group at KU Leuven (University of Leuven), Belgium. Dr. D’Hooghe is also Professor Adjunct, Department of Obstetrics, Gynecology and Reproductive Medicine, Yale University Medical School, New Haven, Connecticut, USA, and Editor-in-Chief of Gynecologic and Obstetric Investigation,Basel, since 2002. Since October 2015, Professor D’Hooghe is the Vice-President and Head of Global Medical Affairs Fertility in the Department of Research and Development at Merck KGaA, Darmstadt, Germany.\nAccessibility Information\nAccessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.\nBibliographic Information\nBook Title: Biomarkers for Endometriosis\nBook Subtitle: State of the Art\nEditors: Thomas D'Hooghe\nDOI: https://doi.org/10.1007/978-3-319-59856-7\nPublisher: Springer Cham\neBook Packages: Medicine, Medicine (R0)\nCopyright Information: Springer International Publishing AG 2017\nHardcover ISBN: 978-3-319-59854-3Published: 05 October 2017\nSoftcover ISBN: 978-3-319-86719-9Published: 22 August 2018\neBook ISBN: 978-3-319-59856-7Published: 22 September 2017\nEdition Number: 1\nNumber of Pages: XII, 267\nNumber of Illustrations: 5 b/w illustrations, 3 illustrations in colour\nTopics: Reproductive Medicine, Bioinformatics, Human Genetics","source_license":"CC0","license_restricted":false}