- Title
- 337: Use of a second trimester serum-based proteomic risk classifier for prediction of spontaneous and medically-indicated preterm birth
- Creators
- Kim Boggess - University of North Carolina at Chapel HillGeorge R. Saade - The University of Texas Medical Branch at GalvestonScott A. Sullivan - Medical University of South CarolinaGlenn R. Markenson - Baystate Medical CenterJay D. Iams - The Ohio State UniversityDean V. Coonrod - Valleywise HealthLeonardo M. Pereira - Oregon Health & Science UniversityM. Sean Esplin - Intermountain HealthcareLarry M. Cousins - San Diego Perinatal Center, San Diego, CAGarrett K. Lam - Regional Obstetrical Consultantset al.
- Publication Details
- American journal of obstetrics and gynecology, Vol.216(1), pp.S204-S205
- Publisher
- Elsevier Inc
- Identifiers
- 991006262338502656
- Academic Unit
- Obstetrics & Gynecology
- Language
- English
- Resource Type
- Journal article
Journal article
337: Use of a second trimester serum-based proteomic risk classifier for prediction of spontaneous and medically-indicated preterm birth
American journal of obstetrics and gynecology, Vol.216(1), pp.S204-S205
01/2017
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