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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" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">Problems of Social Hygiene, Public Health and History of Medicine</journal-id><journal-title-group><journal-title>Problems of Social Hygiene, Public Health and History of Medicine</journal-title></journal-title-group><issn publication-format="print">0869-866X</issn><issn publication-format="electronic">2412-2106</issn><publisher><publisher-name>Joint-Stock Company Chicot</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1842</article-id><article-id pub-id-type="doi">10.32687/0869-866X-2023-31-4-605-612</article-id><article-categories><subj-group subj-group-type="heading"><subject>Научная статья</subject></subj-group></article-categories><title-group><article-title>IS POSSIBLE TO DECREASE THE RISK OF DEVELOPMENT OF UNDESIRABLE EFFECTS OF MEDICATIONS APPLYING COMPUTER TECHNOLOGIES? (A REVIEW)</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Shimanovskiy</surname><given-names>N. L.</given-names></name><email></email><xref ref-type="aff" rid="aff-1"/><xref ref-type="aff" rid="aff-2"/><xref ref-type="aff" rid="aff-3"/><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Shegai</surname><given-names>M. M.</given-names></name><email></email><xref ref-type="aff" rid="aff-3"/><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Roik</surname><given-names>R. O.</given-names></name><email></email><xref ref-type="aff" rid="aff-5"/></contrib></contrib-group><aff id="aff-1">The Federal State Budget Educational Institution of Higher Education N. I. Pirogov Russian National Research Medical University of Minzdrav of Russia, 117997, Moscow, Russia</aff><aff id="aff-2"></aff><aff id="aff-3">N. A. Semashko National Research Institute of Public Health, 105064, Moscow, Russia</aff><aff id="aff-4">The Federal State Budget Educational Institution of Higher Education “The G. V. Plekhanov Russian Economic University”, 115054, Moscow, Russia</aff><aff id="aff-5">The Federal State Budgetary Institution "The Academician N. N. Burdenko Main Military Clinical Hospital" of Ministry of Defense of Russia, 105094, Moscow, Russia</aff><pub-date date-type="epub" iso-8601-date="2023-08-25" publication-format="electronic"><day>25</day><month>08</month><year>2023</year></pub-date><volume>31</volume><issue>4</issue><fpage>605</fpage><lpage>612</lpage><history><pub-date date-type="received" iso-8601-date="2025-07-03"><day>03</day><month>07</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2023,</copyright-statement><copyright-year>2023</copyright-year></permissions><abstract>The article presents overview of modern concepts about application of artificial intelligence (AI) in pharmacotherapy to decrease risk of developing undesirable side effects of medications. The possibilities of applying AI in selection of optimal medicine or combination of medicines and prediction of treatment results are considered. The choice of the best medicine for patient usually requires integration of data of results of comprehensive examination of patient considering success of genetics and/or proteomics as well as data about chemical descriptors of compounds of medications. The prognosis of medication interactions is often based on indicators of similarity assuming that medications with analogous structures or targets will have comparable behavior or may impede each other. The optimization of scheme of dosage of medicines is implemented applying mathematical models to interpret pharmacokinetic and pharmacodynamic data.</abstract><kwd-group xml:lang="en"><kwd>overview</kwd><kwd>artificial intelligence</kwd><kwd>undesirable effects</kwd><kwd>personalized medicine</kwd><kwd>combination of medications</kwd><kwd>combined therapy.</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>обзор</kwd><kwd>искусственный интеллект</kwd><kwd>нежелательные эффекты</kwd><kwd>персонализированная медицина</kwd><kwd>комбинация лекарственных средств</kwd><kwd>комбинированная терапия.</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Seeger J. D., Kong S. X., Schumock G. T. Characteristics associated with ability to prevent adverse-drug reactions in hospitalized patients. 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