Last Posted: Sep 30, 2021
- Cost-Effectiveness of a Proteomic Test for Preterm Birth Prediction.
Grabner Michael et al. ClinicoEconomics and outcomes research : CEOR 2021 13809-820
- Perinatal health predictors using artificial intelligence: A review.
Ramakrishnan Rema et al. Women's health (London, England) 2021 1717455065211046132
- Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.
Sazawal Sunil et al. BMC pregnancy and childbirth 2021 21(1) 609
- Ethics of Artificial Intelligence in Medicine and Ophthalmology.
Abdullah Yasser Ibraheem et al. Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2021 10(3) 289-298
- Evaluation of artificial intelligence-based quantitative analysis to identify clinically significant severe retinopathy of prematurity.
Li Jie et al. Retina (Philadelphia, Pa.) 2021
- Using AMANHI-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation.
Sazawal Sunil et al. Journal of global health 2021 1104044
- External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infants.
Hawken Steven et al. Gates open research 2021 4164
- Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study): A prospective cohort study and individual participant data meta-analysis.
Stock Sarah J et al. PLoS medicine 2021 7 (7) e1003686
- Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis.
Harati-Sadegh Mahdiyeh et al. Medical journal of the Islamic Republic of Iran 2021 3525
- Neonatal cystic fibrosis screening: Analysis and differences in immunoreactive trypsin levels in newborns with a positive screen.
Arrudi-Moreno Marta et al. Anales de pediatria 2021
Reproductive and Child Health PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to reproductive and child Health...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.