P0408 Machine learning-based seminal plasma metabolomics for the diagnosis of nonobstructive azoospermia and prediction of microTESE success rate

European Urology 2026

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Authors: S. Zhu, J. Yang, T. Wang

DOI: 10.1016/s0302-2838(26)01300-x

Cited by: 0

Fields of Study & Subjects

Sperm and Testicular Function Metabolomics and Mass Spectrometry Studies Male Reproductive Health Studies