Predicting the onset of preeclampsia by longitudinal monitoring of metabolic changes throughout pregnancy with Raman spectroscopy

• Main Authors: Saman Ghazvini (Author), Saji Uthaman (Author), Lilly Synan (Author), Eugene C. Lin (Author), Soumik Sarkar (Author), Mark K. Santillan (Author), Donna A. Santillan (Author), Rizia Bardhan (Author)
• Format: Book
• Published: Wiley, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Preeclampsia is a life‐threatening pregnancy disorder. Current clinical assays cannot predict the onset of preeclampsia until the late 2nd trimester, which often leads to poor maternal and neonatal outcomes. Here we show that Raman spectroscopy combined with machine learning in pregnant pat...