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Reproductive Biology and Endocrinology, Mar 2023 This is a preview of a remote PDF: https://rbej.biomedcentral.com/counter/pdf/10.1186/s12958-023-01076-8 van Marion, Eva S., Baart, Esther B., Santos, Margarida, van Duijn, Linette, van Santbrink, Evert J. P., Steegers-Theunissen, Régine P. M., Laven, Joop S. E., Eijkemans, Marinus J. C.. , Reproductive Biology and Endocrinology, 2023, pp. 1-12, Volume 21, Issue 1, DOI: 10.1186/s12958-023-01076-8
Here, we aimed to develop a TLM prediction model that is able to predict pregnancy chances after SET and DET. This work resulted in two centre-specific prediction models that predict the chance for achieving a pregnancy based on a limited number of morphokinetic parameters and female age. Our used methods are new in the field and add another perspective to handling the data generated by time-lapse incubators and how this information could be useful for decision making.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.