Relevant bibliographies by topics / Personalizovaná medicína

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'Personalizovaná medicína'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Personalizovaná medicína"

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Ondra, Vojtěch. "Personalised medicine in oncology - the role of the pharmacist." Praktické lékárenství 18, no. 3 (2022): 160–62. http://dx.doi.org/10.36290/lek.2022.033.

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Popović, Mitar, and Marina Jakšić. "Personalized medicine and pharmacogenomics." PONS - medicinski casopis 21, no. 2 (2024): 60–68. https://doi.org/10.5937/pomc21-51232.

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Personalized medicine refers to any clinical approach that emphasizes the systematic use of preventive, diagnostic, and therapeutic interventions based on genomic and family history data to enhance health outcomes. In this sense, personalized treatment is frequently referred to as genomic medicine. Personalized medicine has several health strategies that rely on the identification of molecular-genetic markers, including molecular diagnosis, prognosis, and disease monitoring; predictive genetics and preventive medicine; pharmacogenomics; targeted molecular therapy, and gene-based therapy. This
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Lukan, Norbert. "Cytokínová búrka v ére kovidovej / Cytokine storm in the covid era." Laboratórna Diagnostika XXVII, no. 2/2022 (2022): 32–33. https://doi.org/10.5281/zenodo.7319282.

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<strong>S&Uacute;HRN</strong> Syst&eacute;mov&aacute; z&aacute;palov&aacute; odpoveď je aktivovan&aacute; r&ocirc;znymi faktormi infekčnej, ale tiež neinfekčnej gen&eacute;zy. Ak sa odpoveď stane nekontrolovanou, hovor&iacute;me o&nbsp;cytok&iacute;novej b&uacute;rke. Cytok&iacute;nov&aacute; b&uacute;rka m&ocirc;že svojimi d&ocirc;sledkami viesť k&nbsp;rozsiahlemu po&scaron;kodeniu regulačn&yacute;ch homeostatick&yacute;ch mechanizmov, n&aacute;sledkom ktor&yacute;ch nastane smrť jedinca. <strong>ABSTRACT</strong> The systemic inflammatory response is activated by various factors of infectiou
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Palička, V. "Should or shouldn't we talk about personalized medicine?" Klinická biochemie a metabolismus 17, no. 4 (2009): 213–14. https://doi.org/10.61568/kbm.2009.035.

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Hendl, Jan. "UMĚLÁ INTELIGENCE V MEDICÍNĚ A ETIKA." Medsoft 2020 32, no. 1 (2020): 12–15. http://dx.doi.org/10.35191/medsoft_2020_1_32_12_15.

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Umělá inteligence (UI) zahrnuje oblasti jako strojové učení (ML), pravidly určené rozhodování, zpracování přirozeného jazyka a robotiku. Potencionální využití má snad ve všech oblastech medicíny. Uměla inteligence může hrát roli v diagnostice, v klinickém rozhodování a personalizovené medicíně. Aplikace umělé inteligence a robotiky se uplatňují také při rozšiřování fyzických možností člověka.Nicméně, zmíněné nové technologie kladou před nás i etické otázky, na které se hledají odpovědi, protože v možnostech prostředků UI je ohrožení preferencí, bezpečnosti a soukromí pacientů. Příspěvek pojedn
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Babić, Nikolina. "Clinical pharmacogenomics and concept of personalized medicine / Klinička farmakogenomika i koncept personalizovane medicine." Journal of Medical Biochemistry 31, no. 4 (2012): 281–86. http://dx.doi.org/10.2478/v10011-012-0021-2.

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Summary The term »personalized medicine« (PM) was coined in the late 1990s, but was not introduced to general US public until about a decade later, through Genomics and Personalized Medicine Act. According to this act, PM is defined as any clinical practice model that utilizes genomic and family history information to customize diagnostic and therapeutic interventions and improve health outcomes. One of the emerging disciplines essential for implementation of PM is clinical pharmacogenomics (PGx), where patient’s genetic information is utilized to personalize drug therapy. PGx testing includes
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Pavlović, Sonja, Branka Zukić, and Maja Stojiljković Petrović. "Molecular Genetic Markers as a Basis for Personalized Medicine / MOLEKULARNO-GENETIČKI MARKERI KAO OSNOV ZA PERSONALIZOVANU MEDICINU." Journal of Medical Biochemistry 33, no. 1 (2014): 8–21. http://dx.doi.org/10.2478/jomb-2013-0035.

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Summary Nowadays, genetics and genomics are fully integrated into medical practice. Personalized medicine, also called genome-based medicine, uses the knowledge of the genetic basis of disease to individualize treatment for each patient. A number of genetic variants, molecular genetic markers, are already in use in medical practice for the diagnosis, prognosis and follow-up of diseases (monogenic hereditary disorders, fusion genes and rearrangements in pediatric and adult leukemia) and presymptomatic risk assessment (BRCA 1/2 for breast cancer). Additionally, the application of pharmacogenomic
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Kimi, Milić, Šćepan Sinanović, and Tamara Stevanović. "Development of Predictive models for Personalized medicine based on Electronic health records." Glasnik javnog zdravlja 99, no. 2 (2025): 70–83. https://doi.org/10.5937/serbjph2502070k.

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This study explores the application of predictive machine learning models in personalized medicine using data from electronic health records (EHR). The purpose of this research was to evaluate different algorithms in predicting clinical outcomes and identifying at-risk patients. Retrospective analysis of EHR data was conducted on a sample of 1000 patients. Logistic regression algorithms, Random Forest and XGBoost were used. Model performance was assessed using AUC-ROC metrics, precision, sensitivity and F1-score. XGBoost model showed the highest accuracy (AUC-ROC = 0.88), while the logistic re
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Fijat, Igor, and Neda Milić Keresteš. "METODOLOGIJA I PROCES KREIRANJA PERSONALIZOVANOG „METAHUMAN“ KARAKTERA." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 37, no. 12 (2022): 2043–46. http://dx.doi.org/10.24867/20ef04fijat.

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Rad obuhvata teorijske osnove evolutivnog toka dizajna karaktera u kompjuterskim igrama, celokupan proces generisanja trodimenzionalnog modela karaktera uključujući često korišćene hardverske i softverske alate, kao i pregled stanja u industriji kroz istoriju. Istraživački deo ispituje mogućnosti personalizo­vanja digitalnog karaktera po uzoru na stvarnu osobu u novorazvijenom MetaHuman radnom okviru.
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Gabalec, Filip, Jan Drugda, and Jan Čáp. "Personalized treatment of acromegaly - prediction of therapeutic response." Vnitřní lékařství 70, no. 1 (2024): 13–16. http://dx.doi.org/10.36290/vnl.2024.002.

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Dissertations / Theses on the topic "Personalizovaná medicína"

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Jeřábková, Jana. "Studium interakcí vybraných anthokyanidinů s farnesoidním X receptorem." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-324201.

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Charles University in Prague Faculty of Pharmacy in Hradec Králové Department of Pharmacology & Toxicology Student: Jana Jeřábková Supervisor: Doc. PharmDr. Petr Pávek, Ph.D. Title of diploma thesis: Interaction of selected anthocyanidins with farnesoid X receptor Human farnesoid X receptor (FXR) is a member of nuclear receptor superfamily that act as ligand-activated transcription factors. FXR binds to specific regulatory DNA regions and induces expression of many target genes. These regulated genes are involved in bile acid metabolism and transport, maintaining blood lipids, liporoteins and
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Kobrlová, Martina. "Farmakogenetika v revmatologii." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-371006.

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Charles University in Prague Faculty of Pharmacy in Hradec Králové Department of Pharmacology & Toxicology Student: Martina Kobrlová Supervisor: prof. PharmDr. Petr Pávek, Ph.D. Title of diploma thesis: Pharmacogenetics in rheumatoid arthritis Based on scientific progress in the research of human genome and the discovery of polymorphisms, which are involved in the interindividual differences in human population, there is also a growing interest in pharmacogenetics. It is a field combining pharmacology and genetics with the aim of identifying specific features that could explain the different r
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Jančušková, Tereza. "Využití nových molekulárních technologií v identifikaci unikátních klonálních markerů pro monitorování minimální reziduální nemoci u akutních leukémií." Doctoral thesis, 2015. http://www.nusl.cz/ntk/nusl-334587.

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Acute leukemias (AL) comprise a heterogeneous group of hematologic malignancies, and individual patient responses to treatment can be difficult to predict. Monitoring of minimal residual disease (MRD) is thus very important and holds great potential for improving treatment strategies. Common MRD targets include immunoglobulin heavy chain or T-cell receptor gene rearrangements, recurrent cytogenetic abnormalities and mutations in important hematological genes. Whereas in the majority of adult acute lymphoblastic leukemia patients a suitable MRD target can be identified, in adult acute myeloid l
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Světlík, Svatopluk. "Variabilita farmakokinetiky a možnost jejího sledování." Doctoral thesis, 2020. http://www.nusl.cz/ntk/nusl-415775.

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Backgroun and aims: Pharmacokinetic variability is of paramount importance for sucessfull pharmacotherapy. The main purpose of this work was to study variability of pharmacokinetics in clinical and non-clinical setting with the aim to predict variability in target population. Specifically, three drugs were chosen, sufentanil, with relativelly narrow therapeutic index, and nabumeton and abirateron, both with known high variability. Methods: The study of pharmacokinetic variability of sufentanil was based on clinical samples taken from patients undergoing surgical cardiac procedure, where the su
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Hadlová, Petra. "Cytometrický test antigen-specifické T buněčné odpovědi pro monitoring terapií BCG vakcínou." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-392927.

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Bladder carcinoma (BCa) is among the most common carcinomas in the Western world. Despite the availability of effective therapies, there is currently an urgent need to develop a stratification method, which would enable the accurate identification of patients responsive to therapy. In the theoretical part of my diploma project I describe the heterogeneity of BCa and the currently applied immunotherapeutic approaches. I specifically focused on the Bacillus Calmette-Guérin (BCG) vaccine instillation. For decades another use of BCG has been a prophylactic vaccination against tuberculosis (TB) inf
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Polívka, Jiří. "Prognostické a prediktivní biomarkery gliálních nádorů centrálního nervového systému v kontextu personalizované medicíny." Doctoral thesis, 2017. http://www.nusl.cz/ntk/nusl-351301.

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The glial tumors, so called gliomas, represent the largest group of the primary central nervous system malignancies. Gliomas remain generally an incurable disease progressing from the lower grades of malignancy to the more aggressive tumors in the course of time. This finally leads to the rapid patient's clinical deterioration and eventually the death. Recently there has been a significant expansion of knowledge in the neuro-oncology domain regarding the onset and development of neoplastic disease at the genetic as well as epigenetic level. Novel prognostic and predictive molecular genetic bio
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