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Use of the serum anti-Müllerian hormone assay as a surrogate for polycystic ovarian morphology: impact on diagnosis and phenotypic classification of polycystic ovary syndrome.

Alice FraissinetGeoffroy RobinPascal PignyTiphaine LefebvreSophie Catteau-JonardDidier Dewailly
Published in: Human reproduction (Oxford, England) (2018)
No external funding. The authors have no conflict of interest to declare.
Keyphrases
  • polycystic ovary syndrome
  • insulin resistance
  • machine learning
  • deep learning
  • high throughput
  • adipose tissue
  • single cell