Inferring simple but precise quantitative models of human oocyte and early embryo development
Brian D Leahy, Catherine Racowsky, Daniel Needleman

TL;DR
This study develops simple, data-driven models of human oocyte maturation and early embryo development from IVF data, revealing modular, largely independent processes with implications for understanding human reproduction and improving IVF practices.
Contribution
The paper introduces the first quantitative, phenomenological models of human oogenesis and embryogenesis based on large-scale clinical IVF data, highlighting their simplicity and modularity.
Findings
Oocyte maturation is independent of age and BMI.
Early embryo development is memoryless across stages.
Both processes are described by minimal interaction models.
Abstract
Macroscopic, phenomenological models have proven useful as concise framings of our understandings in fields from statistical physics to economics to biology. Constructing a phenomenological model for development would provide a framework for understanding the complicated, regulatory nature of oogenesis and embryogenesis. Here, we use a data-driven approach to infer quantitative, precise models of human oocyte maturation and pre-implantation embryo development, by analyzing existing clinical In-Vitro Fertilization (IVF) data on 7,399 IVF cycles resulting in 57,827 embryos. Surprisingly, we find that both oocyte maturation and early embryo development are quantitatively described by simple models with minimal interactions. This simplicity suggests that oogenesis and embryogenesis are composed of modular processes that are relatively siloed from one another. In particular, our analysis…
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