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Since identification of women at risk of NIPT failure is crucial in counseling, we evaluated the feasibility of using a machine learning (ML) model based on maternal and fetal characteristics to predict low FF. Although non-invasive prenatal testing (NIPT) based on cell-free fetal DNA fragments in maternal blood samples is a well-established method for aneuploidy screening, in approximately 4% of women NIPT fails to return a result due to an insufficient fetal fraction (FF) cell-free DNA in maternal plasma. VP17.03: Prediction of low fetal fraction in maternal blood cell-free DNA using a machine learning model. [Extracted from the article]