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dc.contributor.authorLiu, Kun
dc.contributor.authorZhang, Yingbo
dc.contributor.authorMartín Plágaro, César Augusto
dc.contributor.authorMa, Xiaoling
dc.contributor.authorShen, Bairong
dc.date.accessioned2023-01-12T15:12:46Z
dc.date.available2023-01-12T15:12:46Z
dc.date.issued2022-12-20
dc.identifier.citationInternational Journal of Molecular Sciences 24(1) : (2023) // Article ID 4es_ES
dc.identifier.issn1422-0067
dc.identifier.urihttp://hdl.handle.net/10810/59264
dc.description.abstractSince 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.es_ES
dc.description.sponsorshipThis research was funded by Project of Natural Science Foundation of Gansu Province (20JR5RA363); Project of Gansu Provincial Education Department (2020B-003).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectreproductive medicinees_ES
dc.subjecttranslational bioinformaticses_ES
dc.subjectinfertilityes_ES
dc.subjectbiomarkerses_ES
dc.subjectartificial intelligencees_ES
dc.subjectdatabasees_ES
dc.subjectknowledge graphes_ES
dc.titleTranslational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicinees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-01-06T13:52:40Z
dc.rights.holder© 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/1422-0067/24/1/4es_ES
dc.identifier.doi10.3390/ijms24010004
dc.departamentoesBioquímica y biología molecular
dc.departamentoeuBiokimika eta biologia molekularra


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© 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).