For example, a recent study by Gi et al. investigated the predictive performance of a machine learning model that was based on maternal risk factors, MAP, UtA-PI, PlGF, and pregnancy-associated plasma protein-A (PAPP-A) determined in the first trimester of pregnancy for the prediction of preeclampsia [37]. The gene discussed is PAPPA; the disease is preeclampsia.