Machine Learning-Based Protein Signatures for Hypertensive Disorders of Pregnancy Differentiation

Indian scientists have identified proteins that could help diagnose hypertensive disorders of pregnancy (HDP) using machine learning. A cross-sectional study of 133 pregnant women at Assam’s Guwahati Medical College and Hospital looked at 30 protein markers in their blood samples. From the data, scientists created four groups: hypertensive with normal pressure, gestational hypertension, preeclampsia and ante-partum eclampsia. All four groups exhibited varying levels of inflammation, endothelial dysfunction and other pathophysiologies, which the scientists identified through the use of cytokines, chemokines and other markers. This report is an essential breakthrough in the field of medical science, making diagnosis possible.