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Characterization of vaginal Lactobacillus species as a predictor of fertility among Iranian women with unexplained recurrent miscarriage and fertile women without miscarriage history using machine learning modeling.

Farkhondeh PouresmaeiliSaeideh AlidoostMasoumeh AzimiradMehdi Azizmohammad LoohaArmitasadat Emami MeibodiAtieh Abedin-DoHourieh ShamshiriMahan MohammadiIman AzariZahra FazeliAbbas YadegarTayebeh S Hosseinpour
Published in: Molecular biology reports (2023)
Our findings provide experimental evidence of vaginal Lactobacillus imbalance in infertile women and a suitable predictor for miscarriage based on the AUC algorithms. Further studies with larger sample size and using high-throughput technologies are needed to boost our understanding of the role of lactobacilli in miscarriage.
Keyphrases
  • polycystic ovary syndrome
  • high throughput
  • machine learning
  • pregnancy outcomes
  • cervical cancer screening
  • deep learning
  • type diabetes
  • pregnant women
  • lactic acid
  • adipose tissue