Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine

Since 1978, with the first IVF (in vitro fertilization) baby birth in Manchester (England), more than eight million IVF babies have been born throughout the world, and many new techniques and discoveries have emerged in reproductive medicine. To summarize the modern technology and progress in reprod...

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Published in:International journal of molecular sciences 2022-12, Vol.24 (1), p.4
Main Authors: Liu, Kun, Zhang, Yingbo, Martin, César, Ma, Xiaoling, Shen, Bairong
Format: Article
Language:English
Subjects:
artificial intelligence
biomarkers
infertility
reproductive medicine
Review
translational bioinformatics
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cited_by cdi_FETCH-LOGICAL-c450t-7b34b5695d127fc8c9b5256b795e5a5831c098b119e38cf815567faf439429cf3
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container_title International journal of molecular sciences
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creator Liu, Kun
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description Since 1978, with the first IVF (in vitro fertilization) baby birth in Manchester (England), more than eight million IVF babies have been born throughout the world, and many new techniques and discoveries have emerged in reproductive medicine. To summarize the modern technology and progress in reproductive medicine, all scientific papers related to reproductive medicine, especially papers related to reproductive translational medicine, were fully searched, manually curated and reviewed. Results indicated whether male reproductive medicine or female reproductive medicine all have made significant progress, and their markers have experienced the progress from karyotype analysis to single-cell omics. However, due to the lack of comprehensive databases, especially databases collecting risk exposures, disease markers and models, prevention drugs and effective treatment methods, the application of the latest precision medicine technologies and methods in reproductive medicine is limited.
doi_str_mv 10.3390/ijms24010004
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source Publicly Available Content Database; PubMed Central
subjects artificial intelligence
biomarkers
infertility
reproductive medicine
Review
translational bioinformatics
title Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine
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