Publications & Papers

Development and validation of a spontaneous preterm delivery predictor in asymptomatic women

February 2016 - PAPR investigators presented the findings of the landmark PAPR study at the 2016 Society of Maternal-Fetal Medicine meeting. The conclusions of the study and resulting American Journal of Obstetrics & Gynecology was that a serum-based molecular predictor identifies asymptomatic pregnant women at risk of spontaneous preterm delivery, which may provide utility in identifying women at risk at an early stage of pregnancy to allow for clinical intervention. MORE >

Immunoassay Confirmation of MRM-MS Data Supports a Role for Acute Phase Proteins in the Prediction of Spontaneous Preterm Birth

March 2015 - Sera Prognostics, Inc. presented data demonstrating correlation between ELISA and MRM-MS at the Society of Reproductive Investigation 2015 Annual Meeting. MORE >

Discovery Assay Development of Biomarkers Predictive of Preterm Birth

June 2014 - Sera Prognostics, Inc. presented the development and analytical performance of a highly multiplexed and targeted mass spectrometry-based assay for biomarker discovery and subsequent clinical diagnostic development. MORE >

Proteomic Discovery of Serum Biomarkers Predictive of Preterm Birth

March 2014 - Dr. Jay Boniface presented the strategy and methodology used for the discovery of proteins predictive of preterm birth risk at the 2014 Society for Gynecologic Investigation’s 61st Annual Scientific Meeting. MORE >

Discovery Approach for Preterm Birth Biomarkers Recognized in Publication

MAY 2011 - The innovative proteomic methods used by Drs. M. Sean Esplin and Steven W. Graves to identify novel biomarkers for the prediction of preterm birth were highlighted in the May 2011 issue of the American Journal of Obstetrics and Gynecology. MORE >

Proteomics Discovery Technology Highlighted in Online Publication

JUL 2009 - The online journal, Rapid Communications in Mass Spectometry, published a paper highlighting the use of an integrated serum proteomic approach as having high potential for discovery of new biomarkers. MORE >