http://dspace.zsmu.edu.ua/handle/123456789/242 Mon, 05 Oct 2026 18:56:45 GMT 2026-10-05T18:56:45Z http://dspace.zsmu.edu.ua/handle/123456789/26019 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, 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 efficacy Thu, 01 Jan 2026 00:00:00 GMT http://dspace.zsmu.edu.ua/handle/123456789/26019 2026-01-01T00:00:00Z http://dspace.zsmu.edu.ua/handle/123456789/26017 Название: Проведення практичних занять провізорам-слухачам курсів підвищення кваліфікації по ускладненням лікарської терапії Авторы: Білай, Іван Михайлович; Райкова, Т. С.; Демченко, B. О.; Рижов, Олексій Анатолійович; Пашко, О. Є. Tue, 01 Jan 2013 00:00:00 GMT http://dspace.zsmu.edu.ua/handle/123456789/26017 2013-01-01T00:00:00Z http://dspace.zsmu.edu.ua/handle/123456789/26016 Название: Аналіз побічної дії лікарських препаратів в інтернатурі Авторы: Білай, Іван Михайлович; Дарій, Володимир Іванович; Рижов, Олексій Анатолійович; Білай, А. І.; Пашко, О. Є. Tue, 01 Jan 2013 00:00:00 GMT http://dspace.zsmu.edu.ua/handle/123456789/26016 2013-01-01T00:00:00Z http://dspace.zsmu.edu.ua/handle/123456789/25960 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 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. Thu, 01 Jan 2026 00:00:00 GMT http://dspace.zsmu.edu.ua/handle/123456789/25960 2026-01-01T00:00:00Z