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    <dc:date>2026-10-18T22:56:23Z</dc:date>
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  <item rdf:about="http://dspace.zsmu.edu.ua/handle/123456789/26125">
    <title>Жизненный и творческий путь профессора Е. А. Загорученко</title>
    <link>http://dspace.zsmu.edu.ua/handle/123456789/26125</link>
    <description>Название: Жизненный и творческий путь профессора Е. А. Загорученко
Авторы: Сырцов, В. К.; Громоковская, Т. С.; Евтушенко, В. М.; Зидрашко, Г. А.; Громоковська, Тетяна Сергіївна</description>
    <dc:date>2011-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://dspace.zsmu.edu.ua/handle/123456789/26019">
    <title>Cardioprotective Effects of Coupled SH/NO System Modulators in a Rat Model of Doxorubicin-Induced Heart Failure</title>
    <link>http://dspace.zsmu.edu.ua/handle/123456789/26019</link>
    <description>Название: Cardioprotective Effects of Coupled SH/NO System Modulators in a Rat Model of Doxorubicin-Induced Heart Failure
Авторы: Ryzhenko, V. P.; Belenichev, I. F.; Popazova, O. O.; Bukhtiyarova, N. V.; Oliynyk, S.; Petakh, P.; Halabitska, I.; Kamyshnyi, O.; Риженко, Віктор Павлович; Бєленічев, Ігор Федорович; Попазова, Олена Олександрівна; Бухтіярова, Ніна Вікторівна
Аннотация: Background: The high prevalence of chronic heart failure (CHF) in industrialized countries,&#xD;
alongside its grave consequences—including increased mortality, disability, functional&#xD;
impairment, and reduced quality of life—underscores the urgent need to optimize&#xD;
core medical therapy. In this regard, metabolic cardioprotectants are of particular interest,&#xD;
as their action is aimed at interrupting or mitigating the cascade of adverse metabolic reactions&#xD;
and enhancing the compensatory and adaptive mechanisms of the heart. The aim&#xD;
of this study was to evaluate the effect of sulfur-containing pharmacological agents—&#xD;
namely, N-acetylcysteine (NAC), Heptral, Thiotriazoline, and Angiolin—on selected parameters&#xD;
of the NO and thiol-disulfide systems in the hearts of rats with experimental&#xD;
doxorubicin-induced CHF, followed by an assessment of their cardioprotective efficacy</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://dspace.zsmu.edu.ua/handle/123456789/25960">
    <title>A multi-agent GraphRAG framework for pharmacotherapy safety verification in clinical decision support systems</title>
    <link>http://dspace.zsmu.edu.ua/handle/123456789/25960</link>
    <description>Название: A multi-agent GraphRAG framework for pharmacotherapy safety verification in clinical decision support systems
Авторы: Ryzhenko, V. P.; Burlaka, B. S.; Belenichev, I. F.; Burlaka, K. A.; Aliyeva, O. H.; Bukhtiyarova, N. Мю; Halabitska, I.; Petakh, P.; Kamyshnyi, O.; Риженко, Віктор Павлович; Бурлака, Богдан Сергійович; Бєленічев, Ігор Федорович; Бурлака, Кристина Анатоліївна; Алієва, Олена Геннадіївна; Бухтіярова, Ніна Вікторівна
Аннотация: Background: The management of pharmacotherapy in patients with&#xD;
multimorbidity and polypharmacy is a difficult task in routine clinical practice.&#xD;
Clinicians must consider diagnoses, prescribed drugs, contraindications, drugdrug&#xD;
interactions, renal and hepatic function, laboratory values, dose limits&#xD;
and individual risk factors. Clinical decision support systems in traditional&#xD;
settings are based on static rules, and hard to update. Standalone large&#xD;
language models are capable of processing clinical language but their outputs&#xD;
may be unsupported by evidence, incomplete or out of date. In this study, we&#xD;
developed and evaluated a hybrid multi-agent GraphRAG framework for&#xD;
personalised pharmacotherapy safety verification.&#xD;
Methods: We developed a system that integrates graph based retrieval with large&#xD;
language models. The framework was composed of three parts: (1) a schema for&#xD;
a pharmacotherapy knowledge graph that encoded indications,&#xD;
contraindications, interactions, laboratory thresholds, dose limitations and&#xD;
relevant patient conditions; (2) an Extractor–Critic workflow that transformed&#xD;
unstructured medical text into graph elements with quality checks prior to&#xD;
their incorporation; and (3) a retrieval and re-ranking module that leveraged&#xD;
semantic search, graph traversal and safety-directed scoring. The system was&#xD;
evaluated on 12 benchmark cases extraction and 30 clinical safety questions&#xD;
answering. Comparison of conventional RAG and GraphRAG was done using&#xD;
linear mixed effects models, permutation testing, and paired case-level analysis.</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://dspace.zsmu.edu.ua/handle/123456789/25910">
    <title>Функция распределения клеток по размерам</title>
    <link>http://dspace.zsmu.edu.ua/handle/123456789/25910</link>
    <description>Название: Функция распределения клеток по размерам
Авторы: Сырцов, В. К.; Клименко, В. И.; Родякин, С. В.; Сирцов, Вадим Кирилович</description>
    <dc:date>2009-01-01T00:00:00Z</dc:date>
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