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Development and evaluation of a usable blastocyst predictive model using the biomechanical properties of human oocytes.

Daniel MeyerJonathan KortChing Hung ChenHuan ZhaoXiaoling YiShin-Yu LaiFarn LuWen Jui YangI-Chiao HsiehChung-Li ChiangWei-Ming ChenJack Yu Jen HuangDavid CamarilloBarry Behr
Published in: PloS one (2024)
To date, there is no standard guideline or technique to aid in the selection of oocytes that have a higher likelihood of developing into usable blastocysts, which are chosen for transfer or vitrification. This study provides a comprehensive workflow of extracting biomechanical properties and building a predictive classifier using these properties to predict mature oocytes' developmental potential. The classifier has greater accuracy in predicting the formation of usable blastocysts than the predictions provided by morphological information or maternal factors. The measurement procedure did not negatively affect embryo culture outcomes. While further analysis is necessary, this study shows the potential of using biomechanical properties of oocytes to predict embryo developmental outcomes.
Keyphrases
  • endothelial cells
  • healthcare
  • pregnancy outcomes
  • pregnant women
  • finite element
  • finite element analysis
  • health information
  • preterm birth
  • induced pluripotent stem cells
  • glycemic control