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Quantitative proteomics reveals pregnancy prognosis signature of polycystic ovary syndrome women based on machine learning.

Yuanyuan WuCai LiuJinge HuangFang Wang
Published in: Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology (2024)
The model based on the TIA1 and COL5A1 protein could effectively predict the occurrence of pregnancy loss in PCOS patients and provide a good theoretical foundation for subsequent research.
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