PERSONALIZED MEDICINE IN ASSISTED REPRODUCTION: A LITERATURE REVIEW ON RECENT ADVANCES AND CLINICAL APPLICATIONS
DOI:
https://doi.org/10.56238/revgeov17n5-028Keywords:
Artificial Intelligence, Assisted Reproduction, Genomics, Genetic Testing, Personalized MedicineAbstract
Infertility is a significant public health issue, affecting millions of individuals and couples of reproductive age and requiring the development of more effective and safer therapeutic strategies. In this context, personalized medicine emerges as an innovative approach by integrating clinical, genetic, and technological data to individualize treatments in assisted reproduction. This study aimed to analyze recent advances and the main clinical applications of personalized medicine in this field. It is a qualitative, descriptive, and exploratory research developed through a literature review, based on studies published between 2021 and 2026, selected according to relevance and thematic adherence criteria. The results indicate that technologies such as artificial intelligence, genomics, preimplantation genetic testing, and innovative therapies have significantly contributed to improving diagnostic accuracy, optimizing embryo selection, and increasing treatment success rates. However, important challenges were also identified, including the need for methodological standardization, scientific validation of predictive models, limited access to technologies, and ethical issues related to the use of genetic data. It is concluded that personalized medicine has a high transformative potential in assisted reproduction, although its consolidation depends on the integration of technological innovation, scientific rigor, and ethical responsibility.
Downloads
References
CHEN, Y. Artificial intelligence in in-vitro fertilization (IVF): A new era of precision and personalization in fertility treatments. Disponível em: https://www.sciencedirect.com/science/article/pii/S246878472400182X. Acesso em: 03 abr. 2026.
ELKOUNY, N. Preimplantation Genetic Screening in IVF. Disponível em: https://jmals.journals.ekb.eg/article_449834_6412f49f6a6f2f54757b5a077e83550d.pdf. Acesso em: 03 abr. 2026.
GARCIA, M. Artificial Intelligence in Reproductive Medicine: Transforming Assisted Reproductive Technologies. Disponível em: https://jivfww.scholasticahq.com/article/137620-artificial-intelligence-in-reproductive-medicine-transforming-assisted-reproductive-technologies.pdf. Acesso em: 03 abr. 2026.
HASSAN, R. The integration of artificial intelligence in assisted reproduction. Disponível em: https://pdfs.semanticscholar.org/eaea/0790b484b0682d6cfeb026a901e3ec1970c1.pdf. Acesso em: 03 abr. 2026.
KUMAR, S. The Use of Stem Cells in Assisted Reproduction. Disponível em: https://www.mdpi.com/2077-0383/14/19/6942. Acesso em: 03 abr. 2026.
LI, X. Systematic review of genome-wide analyses in assisted reproduction. Disponível em: https://www.fertstert.org/article/S0015-0282(23)01922-2/pdf. Acesso em: 03 abr. 2026.
MARTINEZ, P. Reproductive medicine: The future is now. Disponível em: https://www.researchgate.net/publication/386318261_Reproductive_medicine_The_future_is_now. Acesso em: 03 abr. 2026.
RODRIGUEZ, L. Analysis of the efficacy and safety of techniques used in PGD. Disponível em: https://ojs.studiespublicacoes.com.br/ojs/index.php/cadped/article/view/14950. Acesso em: 03 abr. 2026.
SINGH, A. Advanced maternal age and assisted reproductive technologies: outcomes, genomics, and real-world evidence. Disponível em: https://www.frontiersin.org/journals/reproductive-health/articles/10.3389/frph.2026.1787867/full. Acesso em: 03 abr. 2026.
ZHANG, T. The new frontier in assisted reproduction. Disponível em: https://pmc.ncbi.nlm.nih.gov/articles/PMC12852876/. Acesso em: 03 abr. 2026.
