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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">innjo</journal-id><journal-title-group><journal-title xml:lang="ru">Innova</journal-title><trans-title-group xml:lang="en"><trans-title>Innova</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-2937</issn><publisher><publisher-name>КГМУ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21626/innova/2024.1/10</article-id><article-id custom-type="elpub" pub-id-type="custom">innjo-555</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Применение искусственного интеллекта в диагностике генетических заболеваний</article-title><trans-title-group xml:lang="en"><trans-title>Artificial intelligence in diagnostics of genetic diseases</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мурило М.Э.</surname><given-names>Дель Посо</given-names></name><name name-style="western" xml:lang="en"><surname>Del Pozo</surname><given-names>Murilo M. E.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Раджкумар</surname><given-names>Д.С.Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Rajkumar</surname><given-names>D.S.R.</given-names></name></name-alternatives><email xlink:type="simple">rajkumardsr@kursksmu.net</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Курский государственный медицинский университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kursk State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>24</day><month>04</month><year>2024</year></pub-date><volume>10</volume><issue>1</issue><fpage>13</fpage><lpage>16</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Мурило М.Э. Д., Раджкумар Д., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Мурило М.Э. Д., Раджкумар Д.</copyright-holder><copyright-holder xml:lang="en">Del Pozo M., Rajkumar D.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.innova-journal.ru/jour/article/view/555">https://www.innova-journal.ru/jour/article/view/555</self-uri><abstract><p>Искусственный интеллект помогает ученым с помощью компьютерного программного обеспечения, новых программ и алгоритмов идентифицировать варианты ДНК в наших геномах и ошибки в написании ДНК человека, которые с наибольшей вероятностью могут вызвать заболевания. Эти прогнозы могут помочь быстрее диагностировать даже редкие заболевания и послужить руководством для создания новых лекарств и успешного лечения</p></abstract><trans-abstract xml:lang="en"><p>Artificial intelligence is helping scientists using computing software, new programs and algorithms to identify the DNA variants in our genomes and misspellings in human DNA that are most likely to cause disease. These predictions may help to diagnose even uncommon diseases more quickly and provide guidance for the creation of new drugs and a succesful treatment</p></trans-abstract><kwd-group xml:lang="ru"><kwd>генетические заболевания</kwd><kwd>искусственный интеллект</kwd><kwd>нарушение обмена веществ</kwd><kwd>пропионовая ацидемия</kwd><kwd>прогнозирование генетических мутаций</kwd><kwd>генетические нарушения</kwd></kwd-group><kwd-group xml:lang="en"><kwd>genetic diseases</kwd><kwd>artificial intelligence</kwd><kwd>metabolic disorder</kwd><kwd>propionic acidemia</kwd><kwd>genetic mutation prediction</kwd><kwd>genetic disorders</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">https://scopeblog.stanford.edu/2022/06/10/using-ai-to-find-disease-causing-genes/.</mixed-citation><mixed-citation 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fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
