Application of bioinspired methods and means in medicine

Application of bioinspired methods and means in medicine

Автор: Yarovoy Alexander V., Deberdeev Murat P., Chepiga Artem O., Borodyansky Ilya M.

Журнал: Cardiometry @cardiometry

Рубрика: Review

Статья в выпуске: 29, 2023 года.

Бесплатный доступ

This review examines the role of bioinspired methods in medicine and their potential for improving human health, as well as in the treatment of various diseases. The authors highlight the genetic algorithm and recommendation systems as one of the main tools used in bioinspired methods. This methodology is considered in various aspects of medical practice, such as diagnosis, therapy, prognosis, sports medicine and selection of the correct treatment. Various areas of application of bioinspired methods in medicine are considered. The authors provide an overview of research and development based on the principles of evolutionary modeling. In addition, ethical, economic, and legal aspects of the use of bioinspired methods in medicine are discussed. An integrated approach and a unique view on the role of bioinspired methods and means in medical practice is presented, which reflects modern views on the prospects for research and development of this area.

Еще

Bioinspired methods, genetic algorithm, recommendation systems, artificial intelligence, machine learning, evolutionary, modeling, diagnostics, rehabilitation, sports medicine, sports rehabilitation

Короткий адрес: https://sciup.org/148327845

IDR: 148327845   |   DOI: 10.18137/cardiometry.2023.29.6266

Список литературы Application of bioinspired methods and means in medicine

  • Borzunov GI, et al. Bio-inspired algorithms and their application: Lecture notes International scientific and methodological center. Moscow: National Research Nuclear University “MEPhI”, 2020. 184 p. – EDN YBMMLA. [in Russian]
  • Kamyshev KV, et al. Recommendation systems based on neural networks in medicine. Proceedings of the International Scientific and Technical Congress “Intelligent Systems and Information Technologies - 2021” “(“IS&IT-2021”, “IS&IT’21”), Divnomorskoe, September 01–08, 2021. P. 469-474. EDN EILRVZ. [in Russian]
  • Ivanov SV, et al. Advantages of genetic algorithms and their application in medicine. Current problems of the humanities and natural sciences. 2014(10): 44-7. – EDN TJLAMN. [in Russian]
  • Gantamirov TT. Precision medicine in the era of artificial intelligence and its role in the treatment of chronic diseases. Bulletin of the Medical Institute. 2021;2(20):28-35. DOI 10.36684/med-2021-20-2-28-35. – EDN DHCJGH. [in Russian]
  • Jyoti Metan, et al. Cardiovascular MRI image analysis by using the bio inspired (sand piper optimized) fully deep convolutional network (Bio-FDCN) architecture for an automated detection of cardiac disorders, Biomedical Signal Processing and Control, Volume 70, 2021, 103002, ISSN 1746-8094. [in Russian]
  • Shaimardanova GF, et al. Genetic algorithm for solving the inverse problem of chemical kinetics. Computational Mathematics and Information Technologies. 2022;1(1):41-9. DOI 10.23947/2587-8999- 2022-1-1-41-49. – EDN IUQOSU. [in Russian]
  • Urakov ShU, et al. Biomedicine signallarini Haar va Dobeshi waveletlari erdamida raqamli ishlash. Biology va tibbiyot muammolari. 2020;6(124):118-22. DOI 10.38096/2181-5674.2020.6.00319. – EDN RXGYWO. [in Russian]
  • Deberdeev MP. Methods of training young judoists based on modeling motor activity in probabilistic conditions: specialty 13.00.04 “Theory and methodology of physical education, sports training, recreational and adaptive physical culture”: abstract of the dissertation for the scientific degree of candidate of pedagogical Sciences / Deberdeev Murat Petrovich. Yaroslavl, 2006. 21 p. – EDN NJXTQJ. [in Russian]
  • Rozhko ZhA, et al. Improving methods for determining the strength of prosthetic and orthopedic products. Biomedical engineering and electronics. 2013;2(4):60-8. – EDN ROBWIR. [in Russian]
  • Hartman KA. automation of the system for collecting and processing personalized medical data. Modern school of Russia. Modernization issues. 2021;5(36):133-4. – EDN ACNYQQ. [in Russian]
  • Kureichik VV. Parallel combined architectures of bio-inspired search. Proceedings of the International Scientific and Technical Congress “Intelligent Systems and Information Technologies - 2021” (“IS & IT-2021”, “IS&IT’21” ), Divnomorskoe, September 01–08, 2021. – Divnomorskoe: Stupina S.A., 2021. – P. 17-23. – EDN BRLDGQ. [in Russian]
  • Zammoev AU. On the issue of using methods and tools of evolutionary modeling for virtual prototyping of bionanodevices and bionanorobotic systems. Models of thinking and integration of information and control systems (MMIUS-2018): Proceedings of the Second International Scientific Conference dedicated to the 25th anniversary Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, Nalchik, December 04–09, 2018. – Nalchik: Publishing house KBSC RAS, 2018. – P. 222-231. – EDN YWIGFF. [in Russian]
  • Proceedings of a series of conferences on the prospects of biomedicine: International Conference “Perspective Technologies in Vaccination and Immunotherapy”; Satellite Symposium “VIRAL INFECTIONS AND CANCER, OPENINGS FOR VACCINES” Vol. Issue No. 4, On-line, October 27–29, 2020. [in Russian]
  • Bashilov LI. Rationale for the use of molecular biological methods for the diagnosis and treatment of odontogenic inflammatory diseases of the head and neck: specialty 01/14/14 “Dentistry”, 02/03/03 “Microbiology”: abstract of the dissertation for the degree of candidate of medical sciences / Bashilov Leonid Igorevich. Moscow, 2012. 23 p. – EDN QIHMDX. [in Russian]
  • Laboratory diagnosis of ixodid tick-borne borreliosis using a complex of immunological and molecular biological research methods / O. E. Teslova, N. E. Mutalinova, S. A. Rudakova, Yu. F. Kuzmenko. Journal of Infectology. 2023;15(S1):165-6. EDN IQIXZM. [in Russian]
  • Mustafin RG. Modeling the work of DNA / R. G. Mustafin. Current scientific research in the modern world. 2020;2-2(58):6-11. – EDN VPBKTK. [in Russian]
  • Rambidi NG. Physical and chemical foundations of nanotechnologies / NG Rambidi, A V Berezkin. Moscow, 2008. 456 p. ISBN 978-5-9221-0988-8.– EDN MVSVNT. [in Russian]
  • Association of polymorphic markers of the XRCC1, ERCC2 and CDKN1A genes with the duration of time without progression of ovarian cancer after chemotherapy with platinum derivatives and taxanes / TM Zavarykina, AS Tyulandina, VI Loginov [et al.]. Pathogenesis. 2019;17(1):72-81. DOI 10.25557/2310-0435.2019.01.72-81. EDN WKBCVR. [in Russian]
  • Filshtein AP, et al. Comparative study of the activity of native and recombinant lectins from the mantle of the mussel Mytilus trossulus. Acta Naturae (Russian version). 2019;11(S2):281. – EDN ZOAWZF. [in Russian]
  • Matyukhina YaS. Fuzzy control system for mutation, selection and crossing operators in a genetic algorithm. Current problems of aviation and astronautics. 2016;1(12):541-2. – EDN WTNXLB. [in Russian]
  • Basin, A. Methods for generalizing and increasing the productivity of a two-phase genetic algorithm with crossing, compensating for the effects of mutations: specialty 05.13.17 “Theoretical foundations of computer science”: dissertation for the degree of candidate of technical sciences / Anton Basin, 2020. – 200 p. – EDN UAFTLZ. [in Russian]
  • Gadzhiev AA, et al. On possible options for implementing the operations of selection, crossing and mutation of genetic algorithms. Bulletin of the Dagestan State Technical University. Technical science. 2010;4(19):18-21. – EDN NDHQPP. [in Russian]
  • Trofimova NM. Comparative assessment of the effectiveness of adaptation algorithms when setting the parameters of a genetic algorithm / N. M. Trofimova. Reshetnev Readings. 2016;2:89-91. – EDN YHZPJJ. [in Russian]
  • Zarudniy AV. Issues of auditing and managing access to personal medical data of patients posted on the Internet. Modern problems of science, technology, innovation: Collection of scientific papers based on materials from the International Scientific and Practical Conference. Belgorod, August 31, 2017. Volume Part I. - Belgorod: Limited Liability Company “Agency for Advanced Scientific Research”, 2017. - P. 75-79. – EDN ZFNAOR. [in Russian]
  • Romanovskiy GB, et al. Human rights and modern biomedicine: problems and perspectives. RUDN Journal of Law. 2021;25(1):14-31. DOI 10.22363/2313-2337-2021-25-1-14-31. – EDN TAFFAK. [in Russian]
  • Kureichik, VV. Application of a genetic algorithm for solving the problem of three-dimensional packaging / V.V. Kureichik, D.V. Zaruba, D.Yu. Zaporozhets. Izvestia SFU. Engineering sciences. 2012; 7(132): 8-14. – EDN PAXXEJ. [in Russian]
  • Chubarov AS. Development of modern basis for the construction of bio-inspired agents for the therapy and diagnosis of oncological diseases. Research work: grant No. 21-74-00120. Russian Science Foundation. 2021. [in Russian]
  • Assessing the position of the Russian Federation in the world ranking of publication activity in priority areas in the field of biomedicine / V. I. Starodubov, F. A. Kurakov, L. A. Tsvetkova, Yu. V. Polyakova. Surgery. Journal named after N.I. Pirogov. 2019(5):120-7. – DOI 10.17116/hirurgia2019051120. – EDN DKGHOL. [in Russian]
Еще
Статья научная
SciUp 2024 © 2024 ©