Non-invasive euploidy prediction method and system

Abstract

The application provides a non-invasive euploidy prediction method and system. The method includes: acquiring target parameters of a blastocyst including a blastocyst diameter, a trophectoderm (TE) cell quantity, a TE cell density, a standard deviation of the TE cell areas, and an inner cell mass (ICM) area of the blastocyst to be predicted; and inputting the target parameters into a target decision tree euploidy prediction model, and determining, according to the target parameters of the blastocyst to be predicted, whether the blastocyst to be predicted is euploid. The target decision tree euploidy prediction model can acquire the blastocyst diameter, the TE cell quantity, the TE cell density, the standard deviation of the TE cell areas, and the ICM area. By inputting these pieces of data into the target decision tree euploidy prediction model, the prediction of the embryo euploidy is achieved, thereby promoting the selection or classification of embryos.

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