In a previous paper [4], we showed that using supervised Artificial Neural Networks (ANN) it was possible to predict the presence or absence of IUGR with a high degree of accuracy starting from biomarkers of uterine patho-physiology belonging to the insulin-like growth factor (IGF) system, and Interleukin (IL)-6. Here, IGF1 is linked to fetal growth restriction.