Professor Rachel Tribe PhD, FPhysiol, FRSB Academics Professor of Maternal and Perinatal Sciences Contact details rachel.tribe@kcl.ac.uk +44 (0) 20 7188 3638 @rachel_tribe
The impact of progesterone and RU-486 on classic pro-labour proteins & contractility in human myometrial tissues during 24-hour exposure to tension & Interleukin-1β 15 January 2020 Mobile phone apps for clinical decision support in pregnancy: a scoping review 12 November 2019 Cervical Length and Quantitative Fetal Fibronectin in the Prediction of Spontaneous Preterm Birth in Asymptomatic Women with Congenital Uterine Anomaly 01 October 2019 The role of medical smartphone apps in clinical decision-support: A literature review 01 September 2019 Development and validation of prediction models for the QUiPP App v.2: a tool for predicting preterm birth in women with symptoms of threatened preterm labor 06 August 2019 Development and validation of the predictive models for the QUiPP App v.2: a tool for predicting preterm birth in high-risk asymptomatic women 20 July 2019 POPPIE: Protocol for a randomised controlled pilot trial of continuity of midwifery care for women at increased risk of preterm birth 14 May 2019 Association of adverse perinatal outcomes of intrahepatic cholestasis of pregnancy with biochemical markers: results of aggregate and individual patient data meta-analyses 02 March 2019 EQUIPTT: The Evaluation of the QUiPP app for Triage and Transfer protocol for a cluster randomised trial to evaluate the impact of the QUiPP app on inappropriate management for threatened preterm labour 13 February 2019 Rationale & design of the PROMISES study: A prospective assessment and validation study of salivary progesterone as a test for preterm birth in pregnant women from rural India 22 December 2018