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Advances in Preeclampsia Prediction Tools by Sajid Mridha is a document available to read on EtoBox.

This review discusses recent advances in the prediction and monitoring of preeclampsia, emphasizing the role of machine learning and remote monitoring technologies. It highlights the importance of accurately identifying women at risk to improve maternal and fetal outcomes, given the lack of a causative therapy for preeclampsia. The integration of advanced predictive algorithms with remote monitoring could enhance patient-centered care and reduce healthcare costs associated with the disease.

Author
Sajid Mridha
Language
EN