- Title
- 193: Verification of a proteomic serum-based classifier to predict spontaneous preterm birth in asymptomatic patients
- Creators
- Kim Boggess - University of North Carolina at Chapel HillGeorge Saade - The University of Texas Medical Branch at GalvestonScott Sullivan - Medical University of South CarolinaGlenn Markenson - Tufts UniversityJay Iams - The Ohio State UniversityDean Coonrod - Valleywise HealthLeo Pereira - Oregon Health & Science UniversityM. Sean Esplin - Intermountain HealthcareLarry Cousins - San Diego Perinatal Center, San Diego, CAGarrett Lam - Regional Obstetrical ConsultantsMatthew Hoffman - Christiana Care Health SystemAngela Fox - Sera Prognostics, Inc, Salt Lake City, UTChad Bradford - Sera Prognostics, Inc, Salt Lake City, UTTracey Fleischer - Sera Prognostics, Inc, Salt Lake City, UTIlia Ichetovkin - Sera Prognostics, Inc, Salt Lake City, UTAshoka Polpitiya - Sera Prognostics, Inc, Salt Lake City, UTPaul Kearney - Integrated Diagnostics, Inc., Seattle, WADurlin Hickok - Sera Prognostics, Inc, Salt Lake City, UTJay Boniface - Sera Prognostics, Inc, Salt Lake City, UT
- Publication Details
- American journal of obstetrics and gynecology, Vol.214(1), pp.S119-S119
- Publisher
- Elsevier Inc
- Identifiers
- 991006262342502656
- Academic Unit
- Obstetrics & Gynecology
- Language
- English
- Resource Type
- Journal article
Journal article
193: Verification of a proteomic serum-based classifier to predict spontaneous preterm birth in asymptomatic patients
American journal of obstetrics and gynecology, Vol.214(1), pp.S119-S119
01/2016
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