Luteal phase support in assisted reproductive technology

Garg, Akanksha; Zielinska, Agata P.; Yeung, Arthur C.; Abdelmalak, Rebecca; Chen, Runzhi; Hossain, Aleena; Israni, Alisha; Nelson, Scott M.; Babwah, Andy V.; Dhillo, Waljit S.; Abbara, Ali

doi:10.1038/s41574-023-00921-5

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Nat Rev Endocrinol

2023

DOI: 10.1038/s41574-023-00921-5

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Luteal phase support in assisted reproductive technology

Akanksha Garg,

Agata P. Zielinska,

Arthur C. Yeung

et al.

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2024

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Cited by 3 publications

References 176 publications

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The prospect of artificial intelligence to personalize assisted reproductive technology

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Yeung

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npj Digit. Med.

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Infertility affects 1-in-6 couples, with repeated intensive cycles of assisted reproductive technology (ART) required by many to achieve a desired live birth. In ART, typically, clinicians and laboratory staff consider patient characteristics, previous treatment responses, and ongoing monitoring to determine treatment decisions. However, the reproducibility, weighting, and interpretation of these characteristics are contentious, and highly operator-dependent, resulting in considerable reliance on clinical experience. Artificial intelligence (AI) is ideally suited to handle, process, and analyze large, dynamic, temporal datasets with multiple intermediary outcomes that are generated during an ART cycle. Here, we review how AI has demonstrated potential for optimization and personalization of key steps in a reproducible manner, including: drug selection and dosing, cycle monitoring, induction of oocyte maturation, and selection of the most competent gametes and embryos, to improve the overall efficacy and safety of ART.

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Luteal phase support in assisted reproductive technology

Cited by 3 publications

References 176 publications

ST6GALNAC1-mediated sialylation in uterine endometrial epithelium facilitates the epithelium-embryo attachment

ST6GALNAC1-mediated sialylation in uterine endometrial epithelium facilitates the epithelium-embryo attachment

Research progress on the role of autophagy in the development of varicocele

The prospect of artificial intelligence to personalize assisted reproductive technology

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