Application of fiber optic methods and artificial intelligence in ejaculate diagnosis in infertile males in the assisted reproductive technology programs
- Autores: Sukhikh G.T.1, Skibina J.S.2, Zanishevskaya A.A.2, Shuvalov A.A.2, Yanchuk N.O.2, Gryaznov A.Y.2, Sysoeva A.P.1, Makarova N.P.1, Valiakhmetova E.Z.1, Kalinina E.A.1, Lepilin P.A.2
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Afiliações:
- Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation
- "Nanostructured Glass Technology" Research Production Enterprise, "Structure-Mediated Nanobiophotonics" International Research and Education Center
- Edição: Nº 7 (2021)
- Páginas: 74-80
- Seção: Articles
- URL: https://journals.eco-vector.com/0300-9092/article/view/249353
- DOI: https://doi.org/10.18565/aig.2021.7.74-80
- ID: 249353
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Sobre autores
Gennady Sukhikh
Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation
Email: g_sukhikh@oparina4.ru
M.D., Ph.D., Professor, Director
Julia Skibina
"Nanostructured Glass Technology" Research Production Enterprise, "Structure-Mediated Nanobiophotonics" International Research and Education Center
Email: director@nano-glass.ru
Ph.D. in physics and mathematics, Director
Anastasia Zanishevskaya
"Nanostructured Glass Technology" Research Production Enterprise, "Structure-Mediated Nanobiophotonics" International Research and Education Center
Email: zanishevskayaaa@nano-glass.ru
Senior Research Fellow
Andrey Shuvalov
"Nanostructured Glass Technology" Research Production Enterprise, "Structure-Mediated Nanobiophotonics" International Research and Education Center
Email: zanishevskayaaa@nano-glass.ru
Deputy Head of Research Department
Natalia Yanchuk
"Nanostructured Glass Technology" Research Production Enterprise, "Structure-Mediated Nanobiophotonics" International Research and Education Center
Email: info@nano-glass.ru
Ph.D. in medical sciences, Head
Aleksey Gryaznov
"Nanostructured Glass Technology" Research Production Enterprise, "Structure-Mediated Nanobiophotonics" International Research and Education Center
Email: info@nano-glass.ru
Leading Researcher
Anastasia Sysoeva
Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation
Email: a_sysoeva@oparina4.ru
embryologist at the Department of Assisted Reproductive Technologies in the Treatment of Infertility
Nataliya Makarova
Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation
Email: np_makarova@oparina4.ru
Ph.D., Researcher of ART Department
Elvira Valiakhmetova
Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation
Email: ibraeva1988@list.ru
postgraduate student at the ART Department
Elena Kalinina
Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation
Email: e_kalinina@oparina4.ru
Dr. Med. Sci., Professor, Head of the Department of Assisted Technologies for the Treatment of Infertility, Scientific Secretary of the Dissertation Council
Pavel Lepilin
"Nanostructured Glass Technology" Research Production Enterprise, "Structure-Mediated Nanobiophotonics" International Research and Education Center
Email: info@nano-glass.ru
Researcher
Bibliografia
- GBD 2017 Population and Fertility Collaborators. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159): 1995-2051. https://dx.doi.org/10.1016/S0140-6736(18)32278-5.
- Rumbold A.R., Sevoyan A., Oswald T.K., Fernandez R.C., Davies M.J., Moore V.M. Impact of male factor infertility on offspring health and development. Fertil. Steril. 2019; 111(6): 1047-53. https://dx.doi.org/10.1016/j.fertnstert.2019.05.006.
- WHO, UNEP. State of the science of endocrine disrupting chemicals 2012: an assessment of the state of the science of endocrine disruptors prepared by a group of experts for the United Nations Environment Program and World Health Organization. Geneva: WHO; 2013.
- Huang C., Li B., Xu K., Liu D., Hu J., Yang Y. et al. Decline in semen quality among 30,636 young Chinese men from 2001 to 2015. Fertil. Steril. 2017; 107(1): 83-8. e2. https://dx.doi.org/10.1016/j.fertnstert.2016.09.035.
- Ефремов Е.А., Касатонова Е.В., Мельник Я.И., Никушина АА. Почему не обновляются рекомендации по исследованию эякулята? Урология. 2019; 4: 148-54. [Efremov E.A., Kasatonova E.V., Melnik Ya.I., Nikushina A.A. Why are recommendations on the study of ejaculate not updated? Urology. 2019: 4: 148-54. (in Russian)]. https://dx.doi.org/10.18565/urology.2019A148-154.
- Yibre A.M., Koqer B. Semen quality predictive model using Feed Forwarded Neural Networktrained by Learning-Based Artificial Algae Algorithm. Engineering Science and Technology: An International Journal (JESTECH). 2021; 24(2): 310-8. https://dx.doi.org/10.1016/j.jestch.2020.09.001.
- Тучин В.В. Лазеры и волоконная оптика в биомедицинских исследованиях. 2-е изд. М.: ФИЗМАТЛИТ; 2010. 488 с. [Tuchin V.V. Lasers and fiber optics in biomedical research. 2nd ed., correct and additional. M.: FIZMATLIT; 2010. 488 p. (in Russian)]. ISBN 978-5-9221-1278-9.
- Badura A., Marzec-Wroblewska U., Kaminski P., Lakota P., Ludwikowski G., Szymanski M., Bucinski A. Prediction of semen quality using artificial neural network. J. Appl. Biomed. 2019; 17(5): 167-74. https://dx.doi.org/10.32725/jab.2019.015.
- Ma J., Zhen A., Guan S.U., Liu C., Huang X. Predicting seminal quality using back-propagation neural networks with optimal feature subsets. In: Advances in Brain Inspired Cognitive Systems: 9th International Conference, BICS 2018. Xi'an, China, July 7-8, 2018, Proceedings. 2018: 25-33. https://dx.doi.org/10.1007/978-3-030-00563-4_3.
- Малинин А.В., Скибина Ю.С., Тучин В.В., Чайников М.В., Белоглазов В.И., Силохин И.Ю., Занишевская А.А., Дубровский В.А., Долмашкин А.А. Применение фотонно-кристаллических волноводов с полой сердцевиной в качестве биологических сенсоров. Квантовая электроника. 2011; 41(4): 302-7.
- Zanishevskaya A.A., Malinin A.V., Tuchin V.V., Skibina Y.S., Silokhin I.Y. Photonic crystal waveguide biosensor. J. Innov. Opt. Health Sci. 2013; 6(2): 1350008. https://dx.doi.org/10.1142/S1793545813500089.
- Мюллер А., Гвидо С. Введение в машинное обучение с помощью Python. Руководство для специалистов по работе с данными. СПб.: Альфа-книга; 2017.
- Грибачев В. Настоящее и будущее нейронных сетей. Компоненты и технологии. 2006; 5: 146-50.
- Krizhevsky A., Sutskever I., Hinton G.E. Imagenet classification with deep convolutional neural networks. In: Bartlett P.L., Pereira F.C.N., Burges C.J.C., Bottou L., Weinberger K.Q., eds. Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held, Lake Tahoe, Nevada, United States, 2012, 3-6 December. 2012: 1106-14.