medalphabetМедицинский алфавитMedical alphabet2078-56312949-2807ООО «Альфмед»10.33667/2078-5631-2025-25-8-12medalphabet-4680Research ArticleСтатьиИнновации в гастроэнтерологииInnovations in gastroenterologyhttps://orcid.org/0000-0001-7429-0336БарышниковаН. В.BaryshnikovaN. V.

Барышникова Наталья Владимировна, к. м. н., доцент, младший научный сотрудник лаборатории медико-социальных проблем педиатрии; доцент кафедры внутренних болезней стоматологического факультета;  научный сотрудник лаборатории молекулярной микробиологии

Санкт-Петербург

Baryshnikova Natalia V., PhD Med, associate professor, junior researcher at the Laboratory of Medical and Social Problems of Pediatrics; associate professor at Dept of Internal Medicine at the Faculty of Dentistry; researcher at the Laboratory of Molecular Microbiology

St. Petersburg

baryshnikova_nv@mail.ruЩапковН. А.ShchapkovN. A.

Щапков Николай Андреевич, студент 5-го курса бакалавриата

Санкт-Петербург

Shchapkov Nikolay A., 5th-year undergraduate student

St. Petersburg

mehanik144@gmail.comФГБОУ ВО «Санкт-Петербургский государственный педиатрический медицинский университет» Минздрава России; ФГБОУ ВО «Первый Санкт-Петербургский государственный медицинский университет им. акад. И. П. Павлова» Минздрава России; ФГБНУ «Институт экспериментальной медицины» Минобрнауки РоссииРоссияSt. Petersburg State Pediatric Medical University; Pavlov First St. Petersburg State Medical University; Institute of experimental medicineRussian FederationФГБОУ ВО «Балтийский государственный технический университет «ВОЕНМЕХ» им. Д. Ф. Устинова»РоссияBaltic State Technical University «VOENMEH» named after D. F. UstinovRussian Federation202516112025025«Гастроэнтерология и диетология» (3)812Copyright © Барышникова Н.В., Щапков Н.А., 20252025Барышникова Н.В., Щапков Н.А.Baryshnikova N.V., Shchapkov N.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.med-alphabet.com/jour/article/view/4680

Система здравоохранения непрерывно совершенствуется, в том числе путем внедрения инноваций. Мы проанализировали несколько инновационных областей исследований: искусственный интеллект, виртуальная реальность, телемедицина, микробиом, эндоскопия высокого разрешения и робототехника. Искусственный интеллект применяется для анализа данных, прогнозирования исходов заболеваний, анализа эндоскопических изображений в реальном времени и после процедуры. Позволяет улучшить диагностику, стратификацию пациентов и персонализировать лечение. Также полезен для научной работы (поиск информации, редактирование текстов). Виртуальная реальность перспективна для обучения студентов и хирургов (симуляторы), планирования операций, снижения тревожности и боли у пациентов во время процедур, а также для реабилитации (например, при нарушениях моторики желудочно- кишечного тракта). Телемедицина оптимизирует ведение пациентов, особенно с хроническими заболеваниями, улучшает приверженность лечению и обеспечивает постоянный контакт с врачом. Важность телемедицины возросла во время пандемии COVID‑19. Изучение микробиома открывает новые возможности для понимания и лечения заболеваний (например, воспалительных заболеваний кишечника и онкологической патологии), рассматриваются перспективы трансплантации фекального микробиома, использования аутопробиотиков и метабиотиков (таргетных бактериальных метаболитов) в комплексном лечении пациентов с гастроэнтерологической патологией. Внедрение эндоскопов высокого разрешения, увеличительной эндоскопии и других технических улучшений повышает точность диагностики. Роботизированные системы используются для капсульной эндоскопии с магнитной навигацией и терапевтических процедур. Внедрение инноваций в гастроэнтерологию не заменяет врача, но существенно облегчает его работу, способствует повышению качества диагностики, лечения и ухода за пациентами, а также оптимизирует медицинские процессы, может улучшить обучение врачей и пациентов, а также доступ пациентов к медицинской помощи.

The healthcare system is continuously being improved, including through the introduction of innovations. We analyzed several innovative research areas: artificial intelligence, virtual reality, telemedicine, microbiome, high-resolution endoscopy, and robotics. Artificial Intelligence: Used for data analysis, predicting disease outcomes, analysing endoscopic images in real time and after the procedure. It allows for improved diagnosis, patient stratification, and personalized treatment. It is also useful for scientific work (information search, text editing). Virtual reality: Promising for teaching students and surgeons (simulations), planning operations, reducing anxiety and pain in patients during procedures, as well as for rehabilitation (for example, in cases of gastrointestinal motility disorders). Telemedicine optimizes the management of patients, especially with chronic diseases, improves treatment adherence and ensures constant contact with a doctor. The importance of telemedicine has increased during the COVID‑19 pandemic. The study of the microbiome opens up new opportunities for understanding and treating diseases (for example, inflammatory bowel diseases and oncological pathology), the prospects of fecal microbiome transplantation, the use of autoprobiotics and metabiotics (targeted bacterial metabolites) in the complex treatment of patients with gastroenterological pathology are being considered. The introduction of high-resolution endoscopes, magnifying endoscopy, and other technical improvements improves diagnostic accuracy. Robotic systems are used for capsule endoscopy with magnetic navigation and therapeutic procedures. The introduction of innovations in gastroenterology does not replace a doctor, but significantly facilitates his work, improves the quality of diagnosis, treatment and patient care, and optimizes medical processes, can improve the training of doctors and patients, as well as patients' access to medical care.

инновацииискусственный интеллект (ИИ)виртуальная реальность (VR)телемедицинамикробиомэндоскопияробототехникаinnovationartificial intelligence (AI)virtual reality (VR)telemedicinemicrobiomeendoscopyroboticsReferencesЭкономика инноваций: учебник / под ред. Иващенко Н. П. М.: Экономический факультет МГУ имени М. В. Ломоносова, 2024. ISBN 978-5-907690-72-1 [Электронный ресурс]. URL: https://books.econ.msu.ru/Economics-of-innovation/ (дата обращения: 12.10.2025).Economics of Innovation: textbook / ed. Ivashchenko, N.P. M.: Faculty of Economics, Lomonosov Moscow State University, 2024. ISBN 978-5-907690-72-1 [Electronic resource]. URL: https://books.econ.msu.ru/Economics-of-innovation / (access date: 12.10.2025).Klang E, Soffer S, Tsur A, Shachar E, Lahat A. Innovation in Gastroenterology-Can We Do Better? Biomimetics (Basel). 2022 Mar 19; 7 (1): 33. DOI: 10.3390/biomimetics7010033. PMID: 35323190; PMCID: PMC 8945015.Klang E, Soffer S, Tsur A, Shachar E, Lahat A. Innovation in Gastroenterology-Can We Do Better? Biomimetics (Basel). 2022 Mar 19; 7 (1): 33. DOI: 10.3390/biomimetics7010033. PMID: 35323190; PMCID: PMC 8945015.Yang YJ, Bang CS. Application of artificial intelligence in gastroenterology. World J Gastroenterol. 2019 Apr 14; 25 (14): 1666–1683. DOI: 10.3748/wjg.v25.i14.1666. PMID: 31011253; PMCID: PMC 6465941.Yang YJ, Bang CS. Application of artificial intelligence in gastroenterology. World J Gastroenterol. 2019 Apr 14; 25 (14): 1666–1683. DOI: 10.3748/wjg.v25.i14.1666. PMID: 31011253; PMCID: PMC 6465941.Goodfellow I., Bengio Y., Courville A. MIT Press; Cambridge, MA: 2016. Deep learning. ISBN: 978–0262035613.Goodfellow I., Bengio Y., Courville A. MIT Press; Cambridge, MA: 2016. Deep learning. ISBN: 978–0262035613.Massimino L., Lamparelli L. A., Houshyar Y., D’Alessio S., Peyrin-Biroulet L., Vetrano S., Danese S., Ungaro F. The inflammatory bowel disease transcriptome and metatranscriptome meta-analysis (IBD TaMMA) framework. Nat. Comput. Sci. 2021; 1: 511–515. DOI: 10.1038/s43588-021-00114-yMassimino L., Lamparelli L. A., Houshyar Y., D’Alessio S., Peyrin-Biroulet L., Vetrano S., Danese S., Ungaro F. The inflammatory bowel disease transcriptome and metatranscriptome meta-analysis (IBD TaMMA) framework. Nat. Comput. Sci. 2021; 1: 511–515. DOI: 10.1038/s43588-021-00114-yModos D., Thomas J. P., Korcsmaros T. A handy meta-analysis tool for IBD research. Nat. Comput. Sci. 2021; 1: 571–572. DOI: 10.1038/s43588-021-00124-wModos D., Thomas J. P., Korcsmaros T. A handy meta-analysis tool for IBD research. Nat. Comput. Sci. 2021; 1: 571–572. DOI: 10.1038/s43588-021-00124-wSahoo D., Swanson L., Sayed I. M., Katkar G. D., Ibeawuchi S.-R., Mittal Y., Pranadinata R. F., Tindle C., Fuller M., Stec D. L. Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease. Nat. Commun. 2021; 12: 4246. DOI: 10.1038/s41467-021-24470-5Sahoo D., Swanson L., Sayed I. M., Katkar G. D., Ibeawuchi S.-R., Mittal Y., Pranadinata R. F., Tindle C., Fuller M., Stec D. L. Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease. Nat. Commun. 2021; 12: 4246. DOI: 10.1038/s41467-021-24470-5Biasci D., Lee J. C., Noor N. M., Pombal D. R., Hou M., Lewis N., Ahmad T., Hart A., Parkes M., McKinney E.F. A blood-based prognostic biomarker in IBD. Gut. 2019; 68: 1386–1395. DOI: 10.1136/gutjnl-2019-318343Biasci D., Lee J. C., Noor N. M., Pombal D. R., Hou M., Lewis N., Ahmad T., Hart A., Parkes M., McKinney E.F. A blood-based prognostic biomarker in IBD. Gut. 2019; 68: 1386–1395. DOI: 10.1136/gutjnl-2019-318343Waljee A. K., Lipson R., Wiitala W. L., Zhang Y., Liu B., Zhu J., Wallace B., Govani S. M., Stidham R. W., Hayward R. Predicting hospitalization and outpatient corticosteroid use in inflammatory bowel disease patients using machine learning. Inflamm. Bowel Dis. 2018; 24: 45–53. DOI: 10.1093/ibd/izx007Waljee A. K., Lipson R., Wiitala W. L., Zhang Y., Liu B., Zhu J., Wallace B., Govani S. M., Stidham R. W., Hayward R. Predicting hospitalization and outpatient corticosteroid use in inflammatory bowel disease patients using machine learning. Inflamm. Bowel Dis. 2018; 24: 45–53. DOI: 10.1093/ibd/izx007Waljee A. K., Sauder K., Patel A., Segar S., Liu B., Zhang Y., Zhu J., Stidham R. W., Balis U., Higgins P. D. Machine learning algorithms for objective remission and clinical outcomes with thiopurines. J. Crohn’s Colitis. 2017; 11: 801–810. DOI: 10.1093/ecco-jcc/jjx014Waljee A. K., Sauder K., Patel A., Segar S., Liu B., Zhang Y., Zhu J., Stidham R. W., Balis U., Higgins P. D. Machine learning algorithms for objective remission and clinical outcomes with thiopurines. J. Crohn’s Colitis. 2017; 11: 801–810. DOI: 10.1093/ecco-jcc/jjx014Waljee A. K., Wallace B. I., Cohen-Mekelburg S., Liu Y., Liu B., Sauder K., Stidham R. W., Zhu J., Higgins P. D. Development and validation of machine learning models in prediction of remission in patients with moderate to severe Crohn disease. JAMA Netw. Open. 2019; 2: e193721. DOI: 10.1001/jamanetworkopen.2019.3721Waljee A. K., Wallace B. I., Cohen-Mekelburg S., Liu Y., Liu B., Sauder K., Stidham R. W., Zhu J., Higgins P. D. Development and validation of machine learning models in prediction of remission in patients with moderate to severe Crohn disease. JAMA Netw. Open. 2019; 2: e193721. DOI: 10.1001/jamanetworkopen.2019.3721Milluzzo S. M., Cesaro P., Grazioli L. M., Olivari N., Spada C. Artificial intelligence in lower gastrointestinal endoscopy: The current status and future perspective. Clin. Endosc. 2021; 54: 329. DOI: 10.5946/ce.2020.082Milluzzo S. M., Cesaro P., Grazioli L. M., Olivari N., Spada C. Artificial intelligence in lower gastrointestinal endoscopy: The current status and future perspective. Clin. Endosc. 2021; 54: 329. DOI: 10.5946/ce.2020.082Repici A., Spadaccini M., Antonelli G., Correale L., Maselli R., Galtieri P. A., Pellegatta G., Capogreco A., Milluzzo S. M., Lollo G. Artificial intelligence and colonoscopy experience: Lessons from two randomised trials. Gut. 2022; 71: 757–765. DOI: 10.1136/gutjnl-2021-324471Repici A., Spadaccini M., Antonelli G., Correale L., Maselli R., Galtieri P. A., Pellegatta G., Capogreco A., Milluzzo S. M., Lollo G. Artificial intelligence and colonoscopy experience: Lessons from two randomised trials. Gut. 2022; 71: 757–765. DOI: 10.1136/gutjnl-2021-324471Klang E., Barash Y., Levartovsky A., Lederer N. B., Lahat A. Differentiation Between Malignant and Benign Endoscopic Images of Gastric Ulcers Using Deep Learning. Clin. Exp. Gastroenterol. 2021; 14: 155. DOI: 10.2147/CEG.S 292857Klang E., Barash Y., Levartovsky A., Lederer N. B., Lahat A. Differentiation Between Malignant and Benign Endoscopic Images of Gastric Ulcers Using Deep Learning. Clin. Exp. Gastroenterol. 2021; 14: 155. DOI: 10.2147/CEG.S 292857Soffer S., Klang E., Shimon O., Nachmias N., Eliakim R., Ben-Horin S., Kopylov U., Barash Y. Deep learning for wireless capsule endoscopy: A systematic review and meta-analysis. Gastrointest. Endosc. 2020; 92: 831–839.e8. DOI: 10.1016/j.gie.2020.04.039Soffer S., Klang E., Shimon O., Nachmias N., Eliakim R., Ben-Horin S., Kopylov U., Barash Y. Deep learning for wireless capsule endoscopy: A systematic review and meta-analysis. Gastrointest. Endosc. 2020; 92: 831–839.e8. DOI: 10.1016/j.gie.2020.04.039Klang E., Barash Y., Yehuda Margalit R., Soffer S., Shimon O., Albshesh A., Ben-Horin S., Michal Amitai M., Eliakim R., Kopylov U. Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy. Gastrointest. Endosc. 2020; 91: 606–613. e2. DOI: 10.1016/j.gie.2019.11.012Klang E., Barash Y., Yehuda Margalit R., Soffer S., Shimon O., Albshesh A., Ben-Horin S., Michal Amitai M., Eliakim R., Kopylov U. Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy. Gastrointest. Endosc. 2020; 91: 606–613. e2. DOI: 10.1016/j.gie.2019.11.012Le Berre C., Sandborn W. J., Aridhi S., Devignes M. D., Fournier L., Smail-Tabbone M., Danese S., Peyrin-Biroulet L. Application of Artificial Intelligence to Gastroenterology and Hepatology. Gastroenterology. 2020; 158: 76–94.e2. DOI: 10.1053/j.gastro.2019.08.058Le Berre C., Sandborn W. J., Aridhi S., Devignes M. D., Fournier L., Smail-Tabbone M., Danese S., Peyrin-Biroulet L. Application of Artificial Intelligence to Gastroenterology and Hepatology. Gastroenterology. 2020; 158: 76–94.e2. DOI: 10.1053/j.gastro.2019.08.058Song M., Kim S. Y. Detecting the knowledge structure of bioinformatics by mining full-text collections. Scientometrics. 2013; 96:1 83–201. DOI: 10.1007/s11192-012-0900-9Song M., Kim S. Y. Detecting the knowledge structure of bioinformatics by mining full-text collections. Scientometrics. 2013; 96:1 83–201. DOI: 10.1007/s11192-012-0900-9Seymour N. E., Gallagher A. G., Roman S. A., O’brien M.K., Bansal V. K., Andersen D. K., Satava R. M. Virtual reality training improves operating room performance: Results of a randomized, double-blinded study. Ann. Surg. 2002; 236: 458. DOI: 10.1097/00000658-200210000-00008Seymour N. E., Gallagher A. G., Roman S. A., O’brien M.K., Bansal V. K., Andersen D. K., Satava R. M. Virtual reality training improves operating room performance: Results of a randomized, double-blinded study. Ann. Surg. 2002; 236: 458. DOI: 10.1097/00000658-200210000-00008Lewis T., Aggarwal R., Rajaretnam N., Grantcharov T., Darzi A. Training in surgical oncology –The role of VR simulation. Surg. Oncol. 2011; 20: 134–139. DOI: 10.1016/j.suronc.2011.04.005Lewis T., Aggarwal R., Rajaretnam N., Grantcharov T., Darzi A. Training in surgical oncology –The role of VR simulation. Surg. Oncol. 2011; 20: 134–139. DOI: 10.1016/j.suronc.2011.04.005Yeung A. W.K., Tosevska A., Klager E., Eibensteiner F., Laxar D., Stoyanov J., Glisic M., Zeiner S., Kulnik S. T., Crutzen R. Virtual and augmented reality applications in medicine: Analysis of the scientific literature. J. Med. Internet Res. 2021; 23: e25499. DOI: 10.2196/25499Yeung A. W.K., Tosevska A., Klager E., Eibensteiner F., Laxar D., Stoyanov J., Glisic M., Zeiner S., Kulnik S. T., Crutzen R. Virtual and augmented reality applications in medicine: Analysis of the scientific literature. J. Med. Internet Res. 2021; 23: e25499. DOI: 10.2196/25499Spiegel B. M. Virtual medicine: How virtual reality is easing pain, calming nerves and improving health. Med. J. Aust. 2018; 209: 245–247. DOI: 10.5694/mja17.00540Spiegel B. M. Virtual medicine: How virtual reality is easing pain, calming nerves and improving health. Med. J. Aust. 2018; 209: 245–247. DOI: 10.5694/mja17.00540Gupta A., Scott K., Dukewich M. Innovative technology using virtual reality in the treatment of pain: Does it reduce pain via distraction, or is there more to it? Pain Med. 2018; 19: 151–159. DOI: 10.1093/pm/pnx109Gupta A., Scott K., Dukewich M. Innovative technology using virtual reality in the treatment of pain: Does it reduce pain via distraction, or is there more to it? Pain Med. 2018; 19: 151–159. DOI: 10.1093/pm/pnx109Pozeg P., Palluel E., Ronchi R., Solcà M., Al-Khodairy A.-W., Jordan X., Kassouha A., Blanke O. Virtual reality improves embodiment and neuropathic pain caused by spinal cord injury. Neurology. 2017; 89: 1894–1903. DOI: 10.1212/WNL.0000000000004585Pozeg P., Palluel E., Ronchi R., Solcà M., Al-Khodairy A.-W., Jordan X., Kassouha A., Blanke O. Virtual reality improves embodiment and neuropathic pain caused by spinal cord injury. Neurology. 2017; 89: 1894–1903. DOI: 10.1212/WNL.0000000000004585Cross R. K., Langenberg P., Regueiro M., Schwartz D. A., Tracy J. K., Collins J. F., Katz J., Ghazi L., Patil S. A., Quezada S. M. A randomized controlled trial of TELEmedicine for patients with inflammatory bowel disease (TELE-IBD) Off. J. Am. Coll. Gastroenterol. ACG. 2019; 114: 472–482. DOI: 10.1038/s41395-018-0272-8Cross R. K., Langenberg P., Regueiro M., Schwartz D. A., Tracy J. K., Collins J. F., Katz J., Ghazi L., Patil S. A., Quezada S. M. A randomized controlled trial of TELEmedicine for patients with inflammatory bowel disease (TELE-IBD) Off. J. Am. Coll. Gastroenterol. ACG. 2019; 114: 472–482. DOI: 10.1038/s41395-018-0272-8Su G. L., Glass L., Tapper E. B., Van T., Waljee A. K., Sales A. E. Virtual Consultations Through the V eterans A dministration SCAN-ECHO Project Improves Survival for Veterans with Liver Disease. Hepatology. 2018; 68: 2317–2324. DOI: 10.1002/hep.30074Su G. L., Glass L., Tapper E. B., Van T., Waljee A. K., Sales A. E. Virtual Consultations Through the V eterans A dministration SCAN-ECHO Project Improves Survival for Veterans with Liver Disease. Hepatology. 2018; 68: 2317–2324. DOI: 10.1002/hep.30074Lahat A., Shatz Z. Telemedicine in clinical gastroenterology practice: What do patients prefer? Ther. Adv. Gastroenterol. 2021; 14: 1756284821989178. DOI: 10.1177/1756284821989178Lahat A., Shatz Z. Telemedicine in clinical gastroenterology practice: What do patients prefer? Ther. Adv. Gastroenterol. 2021; 14: 1756284821989178. DOI: 10.1177/1756284821989178Shah E. D., Amann S. T., Karlitz J. J. The time is now: A guide to sustainable telemedicine during COVID-19 and beyond. Am. J. Gastroenterol. 2020; 115: 1371–1375. DOI: 10.14309/ajg.0000000000000767Shah E. D., Amann S. T., Karlitz J. J. The time is now: A guide to sustainable telemedicine during COVID-19 and beyond. Am. J. Gastroenterol. 2020; 115: 1371–1375. DOI: 10.14309/ajg.0000000000000767Scott Kruse C., Karem P., Shifflett K., Vegi L., Ravi K., Brooks M. Evaluating barriers to adopting telemedicine worldwide: A systematic review. J. Telemed. Telecare. 2018; 24: 4–12. DOI: 10.1177/1357633X16674087Scott Kruse C., Karem P., Shifflett K., Vegi L., Ravi K., Brooks M. Evaluating barriers to adopting telemedicine worldwide: A systematic review. J. Telemed. Telecare. 2018; 24: 4–12. DOI: 10.1177/1357633X16674087Kontos E., Blake K. D., Chou W.-Y.S., Prestin A. Predictors of eHealth usage: Insights on the digital divide from the Health Information National Trends Survey 2012. J. Med. Internet Res. 2014; 16: e3117. DOI: 10.2196/jmir.3117Kontos E., Blake K. D., Chou W.-Y.S., Prestin A. Predictors of eHealth usage: Insights on the digital divide from the Health Information National Trends Survey 2012. J. Med. Internet Res. 2014; 16: e3117. DOI: 10.2196/jmir.3117Schirmer M., Garner A., Vlamakis H., Xavier R. J. Microbial genes and pathways in inflammatory bowel disease. Nat. Rev. Microbiol. 2019; 17: 497–511. DOI: 10.1038/s41579-019-0213-6Schirmer M., Garner A., Vlamakis H., Xavier R. J. Microbial genes and pathways in inflammatory bowel disease. Nat. Rev. Microbiol. 2019; 17: 497–511. DOI: 10.1038/s41579-019-0213-6Lee M., Chang E. B. Inflammatory bowel diseases (IBD) and the microbiome – Searching the crime scene for clues. Gastroenterology. 2021; 160: 524–537. DOI: 10.1053/j.gastro.2020.09.056Lee M., Chang E. B. Inflammatory bowel diseases (IBD) and the microbiome – Searching the crime scene for clues. Gastroenterology. 2021; 160: 524–537. DOI: 10.1053/j.gastro.2020.09.056Smet A., Kupcinskas J., Link A., Hold G. L., Bornschein J. The role of microbiota in gastrointestinal cancer and cancer treatment–chance or curse? Cell. Mol. Gastroenterol. Hepatol. 2022; 13: 857–874. DOI: 10.1016/j.jcmgh.2021.08.013Smet A., Kupcinskas J., Link A., Hold G. L., Bornschein J. The role of microbiota in gastrointestinal cancer and cancer treatment–chance or curse? Cell. Mol. Gastroenterol. Hepatol. 2022; 13: 857–874. DOI: 10.1016/j.jcmgh.2021.08.013Baruch E. N., Youngster I., Ben-Betzalel G., Ortenberg R., Lahat A., Katz L., Adler K., Dick-Necula D., Raskin S., Bloch N. Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients. Science. 2021; 371: 602–609. DOI: 10.1126/science.abb5920Baruch E. N., Youngster I., Ben-Betzalel G., Ortenberg R., Lahat A., Katz L., Adler K., Dick-Necula D., Raskin S., Bloch N. Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients. Science. 2021; 371: 602–609. DOI: 10.1126/science.abb5920Материалы круглого стола «Микробиом и метаболическое здоровье человека», проведенного 24.09.2025 в рамках XII Российского форума технологий OPENBIO [Электронный ресурс]. URL: https://program.openbio.ru/#!/tab/1303017111–2 (дата обращения: 05.10.2025).Proceedings of the round table «Microbiome and Human Metabolic Health» held on September 24, 2025, as part of the XII Russian Technology Forum OPENBIO [electronic resource]. URL: https://program.openbio.ru/#!/tab/1303017111–2 (accessed October 5, 2025). (In Russ.).Wang S, Xu M, Wang W, Cao X, Piao M, Khan S, Yan F, Cao H, Wang B. Systematic Review: Adverse Events of Fecal Microbiota Transplantation. PLoS One. 2016 Aug 16; 11 (8): e0161174. DOI: 10.1371/journal.pone.0161174. PMID: 27529553; PMCID: PMC 4986962.Wang S, Xu M, Wang W, Cao X, Piao M, Khan S, Yan F, Cao H, Wang B. Systematic Review: Adverse Events of Fecal Microbiota Transplantation. PLoS One. 2016 Aug 16; 11 (8): e0161174. DOI: 10.1371/journal.pone.0161174. PMID: 27529553; PMCID: PMC 4986962.Suvorov A, Karaseva A, Kotyleva M. et al. Autoprobiotics as an approach for restoration of personalised microbiota. Front. Microbiol. 2018; 9: 1869. DOI: 10.3389/fmicb.2018.01869Suvorov A, Karaseva A, Kotyleva M. et al. Autoprobiotics as an approach for restoration of personalised microbiota. Front. Microbiol. 2018; 9: 1869. DOI: 10.3389/fmicb.2018.01869Zeidan A., Do D., Kang D., Ikuta M., Ryu J., Tearney G. J. High-Resolution, Wide-Field, Forward-Viewing Spectrally Encoded Endoscope. Lasers Surg. Med. 2019; 51: 808–814. DOI: 10.1002/lsm.23102Zeidan A., Do D., Kang D., Ikuta M., Ryu J., Tearney G. J. High-Resolution, Wide-Field, Forward-Viewing Spectrally Encoded Endoscope. Lasers Surg. Med. 2019; 51: 808–814. DOI: 10.1002/lsm.23102Kwon R. S., Adler D. G., Chand B., Conway J. D., Diehl D. L., Kantsevoy S. V., Mamula P., Rodriguez S. A., Shah R. J., Song L. M.W.K. High-resolution and high-magnification endoscopes. Gastrointest. Endosc. 2009; 69: 399–407. DOI: 10.1016/j.gie.2008.12.049Kwon R. S., Adler D. G., Chand B., Conway J. D., Diehl D. L., Kantsevoy S. V., Mamula P., Rodriguez S. A., Shah R. J., Song L. M.W.K. High-resolution and high-magnification endoscopes. Gastrointest. Endosc. 2009; 69: 399–407. DOI: 10.1016/j.gie.2008.12.049Louie J. S., Richards-Kortum R., Anandasabapathy S. Applications and advancements in the use of high-resolution microendoscopy for detection of gastrointestinal neoplasia. Clin. Gastroenterol. Hepatol. 2014; 12: 1789–1792. DOI: 10.1016/j.cgh.2014.08.004Louie J. S., Richards-Kortum R., Anandasabapathy S. Applications and advancements in the use of high-resolution microendoscopy for detection of gastrointestinal neoplasia. Clin. Gastroenterol. Hepatol. 2014; 12: 1789–1792. DOI: 10.1016/j.cgh.2014.08.004Doyama H., Nakanishi H., Yao K. Image-enhanced endoscopy and its corresponding histopathology in the stomach. Gut Liver. 2021; 15: 329. DOI: 10.5009/gnl19392Doyama H., Nakanishi H., Yao K. Image-enhanced endoscopy and its corresponding histopathology in the stomach. Gut Liver. 2021; 15: 329. DOI: 10.5009/gnl19392Gross S. A., Gerson L. B., Lewis B. S., Ganz R. A. A novel device for improving visualization in an inadequately prepared colon. Gastrointest. Endosc. 2018; 87: 883–888. DOI: 10.1016/j.gie.2017.10.028Gross S. A., Gerson L. B., Lewis B. S., Ganz R. A. A novel device for improving visualization in an inadequately prepared colon. Gastrointest. Endosc. 2018; 87: 883–888. DOI: 10.1016/j.gie.2017.10.028van Keulen K. E., Neumann H., Schattenberg J. M., van Esch A. A., Kievit W., Spaander M. C., Siersema P. D. A novel device for intracolonoscopy cleansing of inadequately prepared colonoscopy patients: A feasibility study. Endoscopy. 2019; 51: 85–92. DOI: 10.1055/a-0632-1927van Keulen K. E., Neumann H., Schattenberg J. M., van Esch A. A., Kievit W., Spaander M. C., Siersema P. D. A novel device for intracolonoscopy cleansing of inadequately prepared colonoscopy patients: A feasibility study. Endoscopy. 2019; 51: 85–92. DOI: 10.1055/a-0632-1927Ho SH, Chiu PW. Robotic endoscopy in gastroenterology: Has it come of age? JGH Open. 2020 Oct 21; 4 (5): 782–783. DOI: 10.1002/jgh3.12413. PMID: 33102744; PMCID: PMC 7578321Ho SH, Chiu PW. Robotic endoscopy in gastroenterology: Has it come of age? JGH Open. 2020 Oct 21; 4 (5): 782–783. DOI: 10.1002/jgh3.12413. PMID: 33102744; PMCID: PMC 7578321Буданов В. М., Козорезов Ю. Ю., Мартыненко Ю. Г., Перов Ю. Л., Соколов М. Э., Фрлета М. Возможность использования тактильного телехирургического робототехнического комплекса при обследовании верхних отделов желудочно-кишечного тракта. Вестник новых медицинских технологий. 2006; ХIII (1): 126–128Budanov V. M., Kozorezov Yu. Yu., Martynenko Yu.G., Perov Yu.L., Sokolov M. E., Frleta M. Possibility of using a tactile telesurgical robotic complex in examining the upper gastrointestinal tract. Bulletin of New Medical Technologies. 2006; XIII (1): 126–128. (In Russ.).Kaan HL, Ho KY. Clinical adoption of robotics in endoscopy: Challenges and solutions. JGH Open. 2020 Sep 9; 4 (5): 790–794. DOI: 10.1002/jgh3.12412. PMID: 33102746; PMCID: PMC 7578317.Kaan HL, Ho KY. Clinical adoption of robotics in endoscopy: Challenges and solutions. JGH Open. 2020 Sep 9; 4 (5): 790–794. DOI: 10.1002/jgh3.12412. PMID: 33102746; PMCID: PMC 7578317.Потапов П. А., Тимошенко Д. С., Армашов В. П., Матвеев Н. Л., Белоусов А. М. Роботическая хирургия: вчера, сегодня, завтра. Хирургия. Журнал им. Н. И. Пирогова. 2022; (11): 29–35.Potapov P. A., Timoshenko D. S., Armashov V. P., Matveev N. L., Belousov A. M. Robotic-assisted surgery: yesterday, today, tomorrow. Pirogov Russian Journal of Surgery. 2022; (11): 29–35. (In Russ.). https://doi.org/10.17116/hirurgia202211129Хитарьян А. Г., Матвеев Н. Л., Велиев К. С. и др. Первый клинический опыт использования новой телеуправляемой роботизированной системы Senhance в общей хирургии в России. Хирургия. Журнал им. Н. И. Пирогова. 2022; (9): 5–13.Khitaryan A. G., Matveev N. L., Veliev K. S. et al. The first clinical experience of using the new Senhance remote-controlled robotic system in general surgery in Russia. Pirogov Russian Journal of Surgery. 2022; (9): 5–13. (In Russ.). https://doi.org/10.17116/hirurgia20220915

The authors declare that there are no conflicts of interest present.