Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening
The present PSPNet model is reliable and fast for cfRNA-based PE prediction and its PRI output allows for continuous PE risk monitoring, introducing an innovative and effective method for early PE prediction. This model enables timely interventions and better management of pregnancy complications, particularly benefiting densely populated developing countries with high PE incidence and limited access to routine prenatal care.
Authors
- Zhuo Zhao (ORCID: https://orcid.org/0000-0001-9339-1896)
- Xiaoxu Liu (ORCID: https://orcid.org/0000-0001-8268-7077)
- Chunfang Li (ORCID: https://orcid.org/0000-0002-4673-2800)
- Yonghui Guan
- Zheng Wang (ORCID: https://orcid.org/0000-0001-9255-2977)
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
- Shaanxi Provincial People's Hospital (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1186/s12884-025-07503-5
- Citations
- 1
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 2.06
Funders
- State Key Laboratory of Oral Disease
- Natural Science Basic Research Program of Shaanxi Province