DSpace Собрание:http://dspace.zsmu.edu.ua/handle/123456789/1822026-10-17T21:20:51Z2026-10-17T21:20:51ZЖизненный и творческий путь профессора Е. А. ЗагорученкоСырцов, В. К.Громоковская, Т. С.Евтушенко, В. М.Зидрашко, Г. А.Громоковська, Тетяна Сергіївнаhttp://dspace.zsmu.edu.ua/handle/123456789/261252026-10-12T06:52:54Z2011-01-01T00:00:00ZНазвание: Жизненный и творческий путь профессора Е. А. Загорученко
Авторы: Сырцов, В. К.; Громоковская, Т. С.; Евтушенко, В. М.; Зидрашко, Г. А.; Громоковська, Тетяна Сергіївна2011-01-01T00:00:00ZCardioprotective Effects of Coupled SH/NO System Modulators in a Rat Model of Doxorubicin-Induced Heart FailureRyzhenko, V. P.Belenichev, I. F.Popazova, O. O.Bukhtiyarova, N. V.Oliynyk, S.Petakh, P.Halabitska, I.Kamyshnyi, O.Риженко, Віктор ПавловичБєленічев, Ігор ФедоровичПопазова, Олена ОлександрівнаБухтіярова, Ніна Вікторівнаhttp://dspace.zsmu.edu.ua/handle/123456789/260192026-09-28T09:16:29Z2026-01-01T00:00:00ZНазвание: 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,
alongside its grave consequences—including increased mortality, disability, functional
impairment, and reduced quality of life—underscores the urgent need to optimize
core medical therapy. In this regard, metabolic cardioprotectants are of particular interest,
as their action is aimed at interrupting or mitigating the cascade of adverse metabolic reactions
and enhancing the compensatory and adaptive mechanisms of the heart. The aim
of this study was to evaluate the effect of sulfur-containing pharmacological agents—
namely, N-acetylcysteine (NAC), Heptral, Thiotriazoline, and Angiolin—on selected parameters
of the NO and thiol-disulfide systems in the hearts of rats with experimental
doxorubicin-induced CHF, followed by an assessment of their cardioprotective efficacy2026-01-01T00:00:00ZA multi-agent GraphRAG framework for pharmacotherapy safety verification in clinical decision support systemsRyzhenko, V. P.Burlaka, B. S.Belenichev, I. F.Burlaka, K. A.Aliyeva, O. H.Bukhtiyarova, N. МюHalabitska, I.Petakh, P.Kamyshnyi, O.Риженко, Віктор ПавловичБурлака, Богдан СергійовичБєленічев, Ігор ФедоровичБурлака, Кристина АнатоліївнаАлієва, Олена ГеннадіївнаБухтіярова, Ніна Вікторівнаhttp://dspace.zsmu.edu.ua/handle/123456789/259602026-09-22T06:33:32Z2026-01-01T00:00:00ZНазвание: 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
multimorbidity and polypharmacy is a difficult task in routine clinical practice.
Clinicians must consider diagnoses, prescribed drugs, contraindications, drugdrug
interactions, renal and hepatic function, laboratory values, dose limits
and individual risk factors. Clinical decision support systems in traditional
settings are based on static rules, and hard to update. Standalone large
language models are capable of processing clinical language but their outputs
may be unsupported by evidence, incomplete or out of date. In this study, we
developed and evaluated a hybrid multi-agent GraphRAG framework for
personalised pharmacotherapy safety verification.
Methods: We developed a system that integrates graph based retrieval with large
language models. The framework was composed of three parts: (1) a schema for
a pharmacotherapy knowledge graph that encoded indications,
contraindications, interactions, laboratory thresholds, dose limitations and
relevant patient conditions; (2) an Extractor–Critic workflow that transformed
unstructured medical text into graph elements with quality checks prior to
their incorporation; and (3) a retrieval and re-ranking module that leveraged
semantic search, graph traversal and safety-directed scoring. The system was
evaluated on 12 benchmark cases extraction and 30 clinical safety questions
answering. Comparison of conventional RAG and GraphRAG was done using
linear mixed effects models, permutation testing, and paired case-level analysis.2026-01-01T00:00:00ZФункция распределения клеток по размерамСырцов, В. К.Клименко, В. И.Родякин, С. В.Сирцов, Вадим Кириловичhttp://dspace.zsmu.edu.ua/handle/123456789/259102026-09-16T07:18:43Z2009-01-01T00:00:00ZНазвание: Функция распределения клеток по размерам
Авторы: Сырцов, В. К.; Клименко, В. И.; Родякин, С. В.; Сирцов, Вадим Кирилович2009-01-01T00:00:00Z