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使用时间延迟成像,自动预测平流体和评估人类胚胎细胞的质量

Suraj Rajendran, Matthew Brendel, Josue Barnes

bioRxiv : the preprint server for biology

|September 11, 2023

概括

人工智能模型现在可以使用时差成像来预测人类胚胎的性状态. 贝拉算法提高了评估体外受精 (IVF) 胚胎质量的准确性.

科学领域:

生殖生物学生殖生物学
医学中的人工智能
遗传学是一个遗传学.

背景情况:

精确评估人类胚胎性对于体外受精 (IVF) 成功至关重要.
目前用于胚胎评估和性检测的方法可以通过利用时间间隔成像和人工智能 (AI) 来改进.
确定关键的发育时间点对于提高胚胎评估预测准确度至关重要.

结论:

贝拉代表了人工智能驱动的胚胎性预测的重大进步,改进了现有的基于图像和视频的模型.
虽然BELA不能取代胚胎化 (PGT-A) 的植入前遗传检测,但它可以减少胚胎学家花在胚胎评估上的时间和精力.
这种人工智能方法为提高试管婴儿实验室的效率和客观性提供了一个有希望的工具.

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Cleavage and Blastulation

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After a large-single-celled zygote is produced via fertilization, the process of cleavage occurs while zygotes travel through the uterine tube. Cleavage is a mitotic cell division that does not result in growth. With each round of successive cell division, daughter cells get increasingly smaller.