A multidisciplinary Prematurity Research Cohort Study.

Molly J StoutJessica ChubizNandini RaghuramanPeinan ZhaoMethodius G TuuliLihong V WangAlison G CahillPhillip S CuculichYong WangEmily S JungheimErik D HerzogJustin C FayAlan L SchwartzGeorge A MaconesSarah K England

Published in: PloS one (2022)

We demonstrate feasibility of recruiting and retaining a diverse cohort in a complex prospective, longitudinal study throughout pregnancy. The extensive clinical, imaging, survey, and biologic data obtained will be used to explore cervical, uterine, and endocrine physiology of preterm birth and can be used to develop novel approaches to predict and prevent preterm birth.

Keyphrases

preterm birth
low birth weight
gestational age
rheumatoid arthritis
high resolution
electronic health record
preterm infants
cross sectional
big data
quality improvement
mass spectrometry
pregnant women
machine learning
fluorescence imaging