Abstract
The Eeva Test combines automated time-lapse analysis with statistical modeling to predict continued embryo development. It automatically captures quantitative image features that the human eye cannot detect, and incorporates statistical modeling of dynamic parameters to maximize the test’s predictive power. A new predictive algorithm includes parameters of patient prognosis, morphology, early cleavage timings and quantitative image features to generate a 5-category score for developmental potential.
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