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The study will conduct a multicenter prospective clinical cohort study to collect comprehensive health information and essential specimens from pre-pregnancy to postpartum offspring development. We will combine the reproductive medicine with the big data technologies and cloud computing to explore the key factors which will induce the occurrence the reproductive disorders and effect the health of women and offspring. Based on the discovery of the cohort study, we will construct a prediction model for improvement of ART,optimizing the effectiveness and safety of ART.
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Safeguarding the health of women and children is an important part of The Healthy China 2030 Plan. Precisely controlling the fertility process will help to improve the quality of national population. Lots of studies have reported that environmental exposure, lifestyle, diet and other factors are related to fertility, female pregnancy and postpartum health, and offspring development. Some studies have found that assisted reproductive technology (ART) represents an increased risk of epigenetic-related diseases or birth defects.
The study will conduct a multicenter prospective clinical cohort study to collect comprehensive health information and essential specimens from pre-pregnancy to postpartum offspring development. We will combine the reproductive medicine with the big data technologies and cloud computing to explore the key factors which will induce the occurrence the reproductive disorders and effect the health of women and offspring. Based on the discovery of the cohort study, we will construct a prediction model for improvement of ART,optimizing the effectiveness and safety of ART.
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3,000 participants in 2 patient groups
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Dan Zhang, M.D, Ph.D; Ruixue Chen, M.D, Ph.D
Data sourced from clinicaltrials.gov
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