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Updated: Jun 11, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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以患者为中心的体外受精预后咨询使用机器学习为实用主义者

Mylene W M Yao1, Julian Jenkins2, Elizabeth T Nguyen1

  • 1R&D Department, Univfy, Los Altos, California.

Seminars in reproductive medicine
|October 8, 2024
PubMed
概括

机器学习 (ML) 可以改善体外受精 (IVF) 预后,以改善患者的决策. 个性化的机器学习模型,结合人类的专业知识,可以扩大生育护理的准入,提高健康结果.

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相关概念视频

In Vitro Fertilization01:24

In Vitro Fertilization

In vitro fertilization (IVF) is a form of assisted reproductive technology where an egg is fertilized with sperm in a controlled laboratory environment before transferring the resulting embryo into the uterus. This process is designed to help individuals and couples experiencing difficulties conceiving.
The IVF process begins with ovarian stimulation, during which reproductive endocrinologists prescribe hormonal medications to stimulate the ovaries to produce multiple eggs instead of the single...
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