Non-Invasive Embryo Quality Assessment via Matrix-Optimized Untargeted LC-MS Metabolomics of Spent Embryo Culture Media and Weighted Ensemble Machine Learning
Huimin Gan, Xingyao Wang, Feitai Tang, Hebatallah Ibrahim, Xuanyu Chen, Pingyuan Xie, Shuoping Zhang, Ge Lin, Jun Zeng, Hongwei Chu, Shen Zhang
This paper develops a non-invasive method for embryo quality assessment using metabolomics of spent culture media and machine learning, identifying metabolic signatures linked to ploidy and morphology.
bioRxiv · Aug 4, 2026 · PreprintGenetics