AIMC Topic: Pre-Eclampsia

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Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning.

PloS one
Preeclampsia is a pregnancy-specific disease characterized by new onset hypertension after 20 weeks of gestation that affects 2-8% of all pregnancies and contributes to up to 26% of maternal deaths. Despite extensive clinical research, current predic...

Identification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning.

Journal of clinical hypertension (Greenwich, Conn.)
Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogenesis and poses a great threat to maternal and fetal safety. Cuproptosis, a novel form of cellular death, has been implicated in the advancement of var...

Mechanism of liver X receptor α and ATP binding cassette transporter A1 involved in preeclampsia using an optimized deep learning model.

European review for medical and pharmacological sciences
OBJECTIVE: Preeclampsia (PE) is a complex disease-causing multisystem damage. Many genes, environmental factors, and their interactions are involved in the development and progression of PE. The pathogenesis of PE is not fully understood, limiting th...

Clinical Assessment of Soluble FMS-Like Tyrosine Kinase-1/Placental Growth Factor Ratio for the Diagnostic and the Prognosis of Preeclampsia in the Second Trimester.

Clinical laboratory
BACKGROUND: Preeclampsia is one of the most common and serious complications of pregnancy. Various reports have demonstrated that disturbances in angiogenic and antiangiogenic factors are implicated in its pathogenesis and have possible relevance in ...