Preeclampsia (PE) is a major obstetric complication with severe short- and long-term consequences for both mother and fetus. Early detection is critical to mitigate PE-related morbidity and mortality. Effective screening tools are needed to identify women at risk, enabling timely preventive and therapeutic interventions. Current screening methods primarily target placental biomarkers like sFLT1 and PlGF, which are limited to short-term predictions near symptom onset. Existing first-trimester assessments that incorporate maternal factors and Doppler metrics remain constrained by low sensitivity (\<41%) in compliance with NICE and ACOG guidelines. Recent advancements in cell free RNA (cf-RNA) analysis have revealed potential in first-trimester PE prediction. Findings from the PREMOM study (NCT04990141) established a molecular profile for early-onset preeclampsia (EOPE) and late-onset preeclampsia (LOPE) through cfRNA analysis, culminating in the development of the MaiRa Preeclampsia Test (Maternal Advanced and Innovative Preeclampsia Risk Assessment), which demonstrated high predictive performance for first- and second-trimester screening. The current study hypothesizes that the MaiRa Preeclampsia Test is generalizable, maintaining its predictive accuracy in an independent cohort.