Автор туралы ақпарат

Драпкина, Юлия Сергеевна

Шығарылым Бөлім Атауы Файл
№ 9 (2018) Articles Use of omics technologies to solve the problems of reproductive medicine
№ 6 (2019) Articles Embryo quality assessment by the small noncoding RNA expression profile in an embryo culture medium in assisted reproductive technology programs
№ 7 (2021) Articles Gam-COVID-Vac (Sputnik V) vaccine has no adverse effect on ovarian reserve in reproductive-age women
№ 7 (2021) Articles Gam-COVID-Vac (Sputnik V) vaccine has no adverse effect on spermatogenesis in men
№ 11 (2021) Articles Preimplantation genetic testing of embryos in assisted reproductive technology programs in patients with external genital endometriosis
№ 11 (2021) Articles Value of embryonic mitochondrial DNA in predicting the effectiveness of assisted reproductive technologies
№ 7 (2021) Articles Characteristics of embryonic mosaicism in infertility treatment with assisted reproductive technologies
№ 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
№ 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
№ 11 (2022) Articles Artificial intelligence in reproductive medicine: ethical and clinical aspects
№ 4 (2022) Articles The effect of the Russian combined vector vaccine against the novel coronavirus infection caused by SARS-CoV-2 on ovarian reserve and menstrual function in reproductive-aged women
№ 3 (2023) Reviews New advances in understanding the molecular mechanisms of human embryo implantation in in vitro fertilization programs
№ 2 (2023) Original Articles Antibodies to angiotensin-converting enzyme 2 in infertile patients with a history of COVID-19 and in fertile women
№ 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
№ 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
№ 4 (2024) Original Articles Comparative analysis of blood and follicular fluid lipid profiles in women undergoing infertility treatment withassisted reproductive technologies

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