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

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Publisher

MDPI
DOI: 10.3390/ijms24010004

Keywords

reproductive medicine; translational bioinformatics; infertility; biomarkers; artificial intelligence; database; knowledge graph

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Since the birth of the first IVF baby in 1978, over eight million IVF babies have been born worldwide, leading to numerous advancements in reproductive medicine. Through a comprehensive search, curation, and review of scientific papers, the progress and technologies in reproductive medicine were summarized. Both male and female reproductive medicine have made significant progress, with markers advancing from karyotype analysis to single-cell omics. However, the limited availability of comprehensive databases hinder the application of precision medicine in reproductive medicine, including risk exposure, disease markers, prevention drugs, and effective treatments.
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.

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