Informaçao sobre o Autor

Drapkina, Yulia S.

Edição Seção Título Arquivo
Nº 9 (2018) Articles Use of omics technologies to solve the problems of reproductive medicine
Nº 7 (2021) Articles Gam-COVID-Vac (Sputnik V) vaccine has no adverse effect on ovarian reserve in reproductive-age women
Nº 7 (2021) Articles Gam-COVID-Vac (Sputnik V) vaccine has no adverse effect on spermatogenesis in men
Nº 11 (2021) Articles Preimplantation genetic testing of embryos in assisted reproductive technology programs in patients with external genital endometriosis
Nº 11 (2021) Articles Value of embryonic mitochondrial DNA in predicting the effectiveness of assisted reproductive technologies
Nº 7 (2021) Articles Characteristics of embryonic mosaicism in infertility treatment with assisted reproductive technologies
Nº 11 (2021) Articles Improvement of the embryological stage in assisted reproduction treatment with hyaluronan-enriched culture medium in couples using preimplantation genetic testing for aneuploidy
Nº 7 (2021) Articles The birth of a healthy baby after transfer of a mosaic embryo in the in vitro fertilization program: clinical and ethical aspects
Nº 11 (2022) Articles Artificial intelligence in reproductive medicine: ethical and clinical aspects
Nº 3 (2023) Reviews New advances in understanding the molecular mechanisms of human embryo implantation in in vitro fertilization programs
Nº 2 (2023) Original Articles Antibodies to angiotensin-converting enzyme 2 in infertile patients with a history of COVID-19 and in fertile women
Nº 2 (2024) Original Articles Comparison of predictive models built with different machine learning techniques using the example of predicting the outcome of assisted reproductive technologies
Nº 3 (2024) Original Articles Application of various machine learning techniques to the analysis of clinical, anamnestic, and embryological data of patients undergoing assisted reproductive technologies
Nº 4 (2024) Original Articles Comparative analysis of blood and follicular fluid lipid profiles in women undergoing infertility treatment withassisted reproductive technologies
Nº 7 (2024) Original Articles Assessment of the impact of male factor infertility on the outcomes of assisted reproductive technology programs using machine learning techniques
Nº 9 (2024) Original Articles Experience in machine learning application to predict pregnancy loss after assisted reproductive technologies
Nº 12 (2024) Original Articles Lipid profiling of follicular fluid and blood plasma as a method of predicting pregnancy in women undergoing assisted reproductive treatment
Nº 2 (2025) Original Articles Using machine learning to analyze the lipid profile of culture medium and predict the efficacy of assisted reproductive technologies