A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies
2018
Background
Central nervous system anomalies represent a wide range of congenital birth defects, with an incidence of approximately 1% of all births. They are currently diagnosed using ultrasound evaluation. However, there is strong need for a more accurate and less operator-dependent screening method.
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