Laura Rācene

Laura Rācene serves as a Researcher in the Department of Obstetrics and Gynaecology at Rīga Stradiņš University's Faculty of Medicine. Her primary research focus centers on improving labor induction protocols to reduce cesarean section rates while maintaining maternal and fetal safety. As project leader of the ongoing PhD research 'Identification of prognostic factors for successful induction of labour' (2021-2025), she collaborates extensively with senior researchers including Dr. Rezeberga D. and Dr. Vedmedovska N.

Dr. Rācene's research interests concentrate on the intersection of obstetric practice and technological innovation, specifically examining how cervical parameters, ultrasound biomarkers, and hormonal profiles can predict successful labor induction outcomes. Her work spans multiple dimensions of reproductive healthcare, with particular emphasis on nulliparous women with singleton term pregnancies and cephalic presentation. She investigates both established techniques like cervical length measurement and emerging technologies such as sonoelastography to develop evidence-based protocols for labor management.

Analysis of her publication record from 2023-2025 reveals a clear research trajectory focused on predictive modeling for labor induction success. Her work consistently addresses the critical challenge of reducing unnecessary cesarean sections while ensuring safe delivery outcomes. The publications demonstrate methodological diversity, incorporating ultrasound imaging, hormonal analysis, and biomechanical assessments of cervical properties.

Dr. Rācene actively participates in multiple research projects funded by the Latvian Council of Science and European Social Fund initiatives. She contributes to the 'Improvement of the management process and study content modernisation at Rīga Stradiņš University' project, indicating involvement in medical education alongside clinical research. Her collaborative network includes numerous researchers across obstetrics, gynecology, and medical education fields.

Her research activities directly contribute to UN Sustainable Development Goal 3 (Good Health and Well-being), specifically addressing maternal healthcare quality and safety. The fingerprint analysis of her work shows strongest connections to Cesarean Section (100%), Labor Induction (78%), Nulliparous (60%), and Vaginal Delivery (57%) research domains.