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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="review-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Reviews on Clinical Pharmacology and Drug Therapy</journal-id><journal-title-group><journal-title xml:lang="en">Reviews on Clinical Pharmacology and Drug Therapy</journal-title><trans-title-group xml:lang="ru"><trans-title>Обзоры по клинической фармакологии и лекарственной терапии</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1683-4100</issn><issn publication-format="electronic">2542-1875</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">636717</article-id><article-id pub-id-type="doi">10.17816/RCF636717</article-id><article-id pub-id-type="edn">ASZDND</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Reviews</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Научные обзоры</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Systematic computer-aided analysis of big data concerning global experience in infected wound healing</article-title><trans-title-group xml:lang="ru"><trans-title>Систематический компьютерный анализ публикаций больших данных, отражающих мировой опыт исследований ранозаживления инфицированных ран</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2659-7998</contrib-id><contrib-id contrib-id-type="spin">1375-1114</contrib-id><name-alternatives><name xml:lang="en"><surname>Torshin</surname><given-names>Ivan Yu.</given-names></name><name xml:lang="ru"><surname>Торшин</surname><given-names>Иван Юрьевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Physics and Mathematics), Cand. Sci. (Chemistry)</p></bio><bio xml:lang="ru"><p>канд. физ.-мат. наук, канд. хим. наук</p></bio><email>tiy135@yahoo.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7663-710X</contrib-id><contrib-id contrib-id-type="spin">6317-9833</contrib-id><name-alternatives><name xml:lang="en"><surname>Gromova</surname><given-names>Olga A.</given-names></name><name xml:lang="ru"><surname>Громова</surname><given-names>Ольга Алексеевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, Dr. Sci. (Medicine), Professor</p></bio><bio xml:lang="ru"><p>д-р мед. наук, профессор</p></bio><email>unesco.gromova@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Federal Research Center “Computer Science and Control”, Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Федеральный исследовательский центр «Информатика и управление» Российской академии наук</institution></aff><aff><institution xml:lang="zh"></institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Federal Research Center “Computer Science and Control”, Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Федеральный исследовательский центр «Информатика и управление» Российской академии наук</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2024-11-28" publication-format="electronic"><day>28</day><month>11</month><year>2024</year></pub-date><pub-date date-type="pub" iso-8601-date="2025-04-20" publication-format="electronic"><day>20</day><month>04</month><year>2025</year></pub-date><volume>23</volume><issue>1</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>19</fpage><lpage>28</lpage><history><date date-type="received" iso-8601-date="2024-10-04"><day>04</day><month>10</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-11-28"><day>28</day><month>11</month><year>2024</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Эко-Вектор</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-nd/4.0/</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.eco-vector.com/RCF/article/view/636717">https://journals.eco-vector.com/RCF/article/view/636717</self-uri><abstract xml:lang="en"><p>The present study offers a systematic review of 43,386 research articles investigating wound infection, which were analyzed using data analysis approaches developed by the Yu.I. Zhuravlev and K.V. Rudakov’s scientific school. The cluster-based terminology applied to the publications identified in the study suggests (1) diverse inflammatory mechanisms, (2) a range of bacterial and viral pathogens that contribute to impaired wound healing, and (3) a variety of antibiotics and other pharmacological agents, the effects of which are investigated in the scientific publications. The generated map of the most informative terms provides a comprehensive description of the wound infection pathophysiology and identifies promising areas of research focused on wound pharmacotherapy, including approaches to biofilm eradication; use of nanofibers, hydrogels, and nanoparticles; and pharmacological control of wound inflammation. The pharmacological treatment of infected wounds extends beyond the scope of conventional antiseptics and antibiotics to include the use of phytoextracts (and their components, including antioxidant derivatives), pharmaconutraceuticals, essential elements (primarily copper, zinc, and silver), biguanides (for wound treatment in patients with carbohydrate metabolism disorders), hyaluronic acid (for wound dressings), and probiotic bacteria that facilitate the eradication of pathogenic biofilms. This study is supported by a review of pertinent evidence-based studies, highlighting the most promising research trends, including biofilm control, surgical debridement, and pharmaconutraceuticals.</p></abstract><trans-abstract xml:lang="ru"><p>В работе представлены результаты систематизации массива из 43 386 статей по инфицированию ран, проведенной методами анализа данных научной школы академиков Ю.И. Журавлева и К.В. Рудакова. Выявленная в исследовании кластерная терминологическая структура публикаций указывает (1) на многообразие соответствующих механизмов воспаления, (2) многообразие бактериальных и вирусных патогенов, затрудняющих заживление ран, (3) многообразие антибиотиков и прочих фармакологических средств, эффекты которых исследуются в научной литературе. Полученная карта наиболее информативных терминов не только детально характеризует патофизиологию инфицирования ран, но и указывает на перспективные направления исследований в фармакотерапии ран: подходы к решению проблемы биопленок; использование нановолокон, гидрогелей и наночастиц; фармакотерапия раневого воспаления. В фармакологии ранозаживления инфицированных ран активно исследуются не только антисептики и антибиотики, но и фитоэкстракты (и их компоненты, в том числе антиоксидантные), фармаконутрицевтики, определенные микроэлементы (прежде всего, медь, цинк и серебро), бигуаниды (для лечения ран у пациентов с нарушениями углеводного обмена), гиалуроновая кислота (для перевязок), бактерии-пробиотики, способствующие разрушению патогенных биопленок. Приведены примеры доказательных исследований, указывающие на наиболее перспективные исследовательские тренды: борьба с биопленками; особенности проведения хирургических вмешательств, связанные с инфицированием ран; применение фармаконутрицевтиков.</p></trans-abstract><kwd-group xml:lang="en"><kwd>wound infection</kwd><kwd>biofilms</kwd><kwd>antibiotics</kwd><kwd>phytoextracts</kwd><kwd>vitamins</kwd><kwd>placental peptides</kwd><kwd>zinc</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>раневая инфекция</kwd><kwd>биопленки</kwd><kwd>антибиотики</kwd><kwd>фитоэкстракты</kwd><kwd>витамины</kwd><kwd>пептиды плаценты</kwd><kwd>цинк</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Torshin IYu. On optimization problems arising from the application of topological data analysis to the search for forecasting algorithms with fixed correctors. 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