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相关概念视频

Cloning of Dolly the Sheep01:08

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The first successfully cloned mammal was Dolly, a sheep, born on 5th July 1996 at Roslin Institute, Scotland. The cloned sheep was named after the American singer Dolly Parton. Dolly lived for seven years and died of respiratory complications, which is speculated to be due to the actual age of her DNA. Because the DNA in cloned cells belongs to an older individual,  the cloned individual’s life expectancy may be affected. Indeed, analysis of Dolly’s DNA revealed shorter...
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人工智能在牛群的基于形态的卵细胞选择方面表现优于人类.

Annelies Raes1, Danilo Babin2, Osvaldo Bogado Pascottini3,4

  • 1Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium. Annelrae.Raes@UGent.be.

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概括

人工智能 (AI) 模型通过分析积卵细胞复合体 (COC) 形态学,准确地预测牛卵细胞质量,优于人类胚胎学家. 这些人工智能工具提供了一种客观的方法,用于在实验室中评估卵细胞发育能力.

关键词:
人工智能的人工智能是人工智能.牛卵细胞质量质量累积体-卵细胞复合体胚胎发育的发展在体外胚胎生产.形态学 形态学 形态学

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科学领域:

  • 兽医科学 兽医科学 兽医科学
  • 胚胎学 胚胎学
  • 人工智能在生物学中的应用

背景情况:

  • 积卵细胞复合体 (COC) 形态评估对于卵细胞质量评估至关重要.
  • 目前用于COC形态解释的主观方法缺乏标准化的指导方针,并且具有局限性.

研究的目的:

  • 为了确定区分COC质量的关键形态特征.
  • 评估人类胚胎学家在评估COC形态学方面的预测准确度.
  • 开发人工智能 (AI) 模型来预测卵细胞发育能力.

主要方法:

  • 使用单个体体外胚胎生产来评估未成熟的牛的COC.
  • 胚胎学家和两个人工智能模型 (深度神经网络和随机森林) 分析了COC图像.
  • 使用均衡准确度评估了预测性能.

主要成果:

  • 累积体大小被人工智能识别为COC质量的关键特征,与胚胎学家对质形态学的关注形成鲜明对比.
  • 人类评估显示预测能力低 (42.9%的平衡准确度) 和相当可靠.
  • 人工智能模型的表现明显优于胚胎学家,达到79.3% (DNN) 和71.2% (RF) 的平衡精度.

结论:

  • 新的AI模型成功地预测了未成熟的牛卵细胞的发育能力.
  • 人工智能为主观的人类对COC形态的评估提供了一个客观和优越的替代方案.
  • 人工智能工具可以增强胚胎实验室的决策过程.