Work

High throughput recurrent pregnancy loss screening: urine metabolic fingerprints via LDI-MS and machine learning

Year: 2025

Type: article

Study design: Observational Study

Source: The Analyst

DOI: 10.1039/d5an00177c

Authors: Yijiao Qu, Ming Chen, Mufeng Han, Xiaoyu Yu, Xi Yu, Jinghan Fan, Huihui Liu, Liping Wang, Zongxiu Nie

Institutions: Chinese Academy of Sciences, Beijing National Laboratory for Molecular Sciences, Institute of Chemistry, University of Chinese Academy of Sciences, Shenzhen University, Guangxi University of Chinese Medicine, Shenzhen Second People's Hospital, Beijing National Day School, Peking University

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G1407258444, G2990276897, G3072755678

OpenAlex ID: W4409348353

FWCI: 1.269

Cites: 42

Cited by: 5

Related to: 10