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• W3200420936 abstract "1. To determine the impact of two different culture media on embryo development. 2. To develop machine learning (ML) models to predict the probability of blast formation based on morphokinetic and clinical parameters accessible at 66 hours of incubation in both culture media. 3. To implement an accessible ML-supported tool to assist ART decisions that can be easily adapted to the ever-evolving technological advances of the IVF laboratory. A total of 31,040 embryos were cultured in two different media (Media-A, single step, N=11128/33.7%; Media-B, sequential, N=19912/66.3%) over a 2-year period using the Embryoscope (Vitrolife, Sweden) time-lapse system, with developmental features annotated manually. A retrospective analysis of the morphokinetic timings and the inner cell mass (ICM), trophectoderm (TE), and expansion (Ex) grades of the blastocyst was performed. Differences in the development rates of embryos cultured were evaluated by logistic regression adjusting for maternal age. A logistic regression model was developed to estimate the probability of the embryo reaching the blastocyst stage at 110 hours. The model used maternal age and morphokinetic parameters observed earlier than 66 hours of incubation as inputs. Model features were selected using LASSO L-1 regularization with an 80% training/20% cross-validation split. The two different culture media employed in this study had a significant (p<0.01) impact both on the dynamics of post-fertilization development and embryo quality, as assessed by subjective morphological parameters. Media-A had a significantly higher proportion of embryos reaching the blastocyst stage at <110 hours and a higher proportion of top-quality blastocysts. The area under the receiver operating curve obtained from the ML models was 80.9% for Media-A and 80.5% for Media-B. The models were deployed as a web-based service running a Python script to extract the relevant morphokinetic and clinical parameters of embryos in real-time to provide the predicted probability of 110-hour blast formation. There were significant differences in the rate of embryo development and the proportion of top-graded blastocysts between the two culture media. The models developed to estimate the probability of reaching the blastocyst stage in <110 hours had a similar ROC-AUC but different structures to account for the different dynamics of development induced by the culture media." @default.
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• W3200420936 date "2021-09-01" @default.
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• W3200420936 title "CULTURE MEDIA: ITS IMPACT ON EMBRYO DEVELOPMENT, ART OUTCOMES, AND THE IMPLEMENTATION OF MACHINE LEARNING (ML) MODELS FOR EMBRYO SELECTION" @default.
• W3200420936 doi "https://doi.org/10.1016/j.fertnstert.2021.07.423" @default.
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