Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening.

Journal: BMC pregnancy and childbirth

PMID: 40229739

Abstract

BACKGROUND: Circulating cell-free RNA (cfRNA) is gaining recognition as an effective biomarker for the early detection of preeclampsia (PE). However, the current methods for selecting disease-specific biomarkers are often inefficient and typically one-dimensional.

Authors

Zhuo Zhao

School of Electrical and Computer Engineering, The University of Georgia, 597 DW Brooks Dr., Athens, GA, 30602, USA.
Xiaoxu Liu

Knowledge Engineering and Discovery Research Institute (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
Yonghui Guan

Department of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Chunfang Li

Department of Obstetrics & Gynecology, the First Affiliated Hospital of Xi'an Jiaotong University, Xian, Shaanxi, China.
Zheng Wang

Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.

Keywords

Adult Algorithms Biomarkers Case-Control Studies Cell-Free Nucleic Acids Early Diagnosis Female Humans Neural Networks, Computer Pre-Eclampsia Pregnancy Risk Assessment

External Resources

View on PubMed Access via DOI PubMed (40229739)

Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening.

Abstract

Authors

Keywords

External Resources

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