Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach

Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach

Huang and colleagues used machine-learning estimators to analyse a broad range of parameters in a prospective cohort consisting ART and spontaneously conceived children. Small differences in stature and growth could not be explained by parental or perinatal environment factors, nor differences in fe...

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Bibliographic Details
Main Authors: Jonathan Yinhao Huang, Shirong Cai, Zhongwei Huang, Mya Thway Tint, Wen Lun Yuan, Izzuddin M. Aris, Keith M. Godfrey, Neerja Karnani, Yung Seng Lee, Jerry Kok Yen Chan, Yap Seng Chong, Johan Gunnar Eriksson, Shiao-Yng Chan
Format: Article
Language:English
Published: Nature Portfolio 2021-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-25899-4

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https://doi.org/10.1038/s41467-021-25899-4

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