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Computer-aided data quality monitoring and assessment in clinical research
Šiška, Branislav ; Kolářová, Jana (referee) ; Schwarz, Daniel (advisor)
The diploma thesis deals with the monitoring and evaluation of data in clinical research. Usual methods to identify incorrect data are one-dimensional statistical methods per each variable in the register. Proposed method enters directly into database and finds out outliers in data using machine learning combined with multidimensional statistical methods that transform all column variables of clinical register to one, representing one record of patient in the register. Algorithm of proposed method is written in Matlab.
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Algorithms for anomaly detection in data from clinical trials and health registries
Bondarenko, Maxim ; Blaha, Milan (referee) ; Schwarz, Daniel (advisor)
This master's thesis deals with the problems of anomalies detection in data from clinical trials and medical registries. The purpose of this work is to perform literary research about quality of data in clinical trials and to design a personal algorithm for detection of anomalous records based on machine learning methods in real clinical data from current or completed clinical trials or medical registries. In the practical part is described the implemented algorithm of detection, consists of several parts: import of data from information system, preprocessing and transformation of imported data records with variables of different data types into numerical vectors, using well known statistical methods for detection outliers and evaluation of the quality and accuracy of the algorithm. The result of creating the algorithm is vector of parameters containing anomalies, which has to make the work of data manager easier. This algorithm is designed for extension the palette of information system functions (CLADE-IS) on automatic monitoring the quality of data by detecting anomalous records.
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Algorithms for anomaly detection in data from clinical trials and health registries
Bondarenko, Maxim ; Blaha, Milan (referee) ; Schwarz, Daniel (advisor)
This master's thesis deals with the problems of anomalies detection in data from clinical trials and medical registries. The purpose of this work is to perform literary research about quality of data in clinical trials and to design a personal algorithm for detection of anomalous records based on machine learning methods in real clinical data from current or completed clinical trials or medical registries. In the practical part is described the implemented algorithm of detection, consists of several parts: import of data from information system, preprocessing and transformation of imported data records with variables of different data types into numerical vectors, using well known statistical methods for detection outliers and evaluation of the quality and accuracy of the algorithm. The result of creating the algorithm is vector of parameters containing anomalies, which has to make the work of data manager easier. This algorithm is designed for extension the palette of information system functions (CLADE-IS) on automatic monitoring the quality of data by detecting anomalous records.
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Sources of ellagitannins and their effects on human organism
Lazarová, Zuzana ; Siatka, Tomáš (advisor) ; Karlíčková, Jana (referee)
CHARLES UNIVERSITY PHARMACEUTICAL FACULTY IN HRADEC KRÁLOVÉ DEPARTMENT OF PHARMACOGNOSY AND PHARMACEUTICAL BOTANY Author: Zuzana Lazarová Title of diploma thesis: Sources of ellagitannins and their effects on human organism Supervisor: doc. PharmDr. Tomáš Siatka, CSc. Diploma thesis 2021/2022, pages: 87 This diploma thesis is a literature review which focuses on an overview of ellagitannins, their sources, bioavailability, metabolism in the human body and effects on the human organism. Ellagitannins belong to the class of hydrolysable tannins which in the human gastrointestinal tract undergo hydrolysis to form ellagic acid. There is a high content of ellagitannins in the families Elaeagnaceae, Fagaceae, Geraniaceae, Lythraceae, Onagraceae and in some species of the family Rosaceae. Ellagitannins are found in medicinal plants as well as in commonly available foods, especially in berries and nuts. The intestinal microflora has the ability to metabolize ellagic acid to more bioavailable urolithins, but there are strong interindividual differences in the microbial conversion of ellagitannins among the population. Clinical studies provide evidence of the pharmacological activities of ellagitannins in many diseases, including cardiovascular diseases, diabetes mellitus, oncological diseases, central...
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Algorithms for anomaly detection in data from clinical trials and health registries
Bondarenko, Maxim ; Blaha, Milan (referee) ; Schwarz, Daniel (advisor)
This master's thesis deals with the problems of anomalies detection in data from clinical trials and medical registries. The purpose of this work is to perform literary research about quality of data in clinical trials and to design a personal algorithm for detection of anomalous records based on machine learning methods in real clinical data from current or completed clinical trials or medical registries. In the practical part is described the implemented algorithm of detection, consists of several parts: import of data from information system, preprocessing and transformation of imported data records with variables of different data types into numerical vectors, using well known statistical methods for detection outliers and evaluation of the quality and accuracy of the algorithm. The result of creating the algorithm is vector of parameters containing anomalies, which has to make the work of data manager easier. This algorithm is designed for extension the palette of information system functions (CLADE-IS) on automatic monitoring the quality of data by detecting anomalous records.
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Modern phytotherapy - revision of usage of medicinal plants according to clinical trials
Krupová, Olga ; Siatka, Tomáš (advisor) ; Kašparová, Marie (referee)
1 Abstract Charles University, Faculty of Pharmacy in Hradec Králové Department of Pharmacognosy Student: Olga Krupová Supervisor: PharmDr. Tomáš Siatka, CSc. Title of diploma thesis: Modern phytotherapy - revision of usage of medicinal plants according to clinical trials Key words: phytotherapy, medicinal plants, liver diseases, painful joints, nervousness and insomnia, clinical trials The aim of diploma thesis was to review the said effects of the herbs, to make a list of herbs used in popular traditional medicine of selected diseases and to verify their use by giving documented evidence. This thesis addresses in detail three ranges of problems in which the use of herbal therapy could be considered. Following three ranges of problems were selected: liver diseases, painful joints, nervousness and insomnia. Clinical studies were explored to substantiate the effects of individual herbs or their substances. Preclinical studies were used in case of deficiency in clinical studies. The outcome of this thesis was to approve or - on the contrary - to disapprove the effects quoted by the use of folk medicine herbs. From the result of this thesis it emerges, that not all popular quoted herbal indications are verified by sufficient evidence. However, for a considerable part of the quoted herbs their effects were...
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Clinical applications of stem cells for the treatment of neurodegenerative diseases of CNS
Jančová, Pavlína ; Kubinová, Šárka (advisor) ; Heřmánková, Barbora (referee)
Stem cells have a huge therapeutic potential due to their ability to differentiate in multiple tissues. They could be used for neurodegenerative diseases treatment, which are typical for loss of specific groups of neurons, progressive course and lack of effective treatment due to their complicated pathophysiology, only therapies for elongation and simplification of patients' life are available. This thesis summarizes results of completed clinical studies and informs about ongoing studies, in which stem cell treatments are used for selected neurodegenerative diseases. Stem cell therapy for multiple sclerosis and amyotrophic lateral sclerosis have a long history, some of the studies has proven therapeutic efficiency of stem cells. We don't know much about effect of stem cell treatment for patients with Alzheimer's and Parkinson's diseases, because first clinical studies were finished recently. But all clinical trials have proven safety of stem cell treatment. Replacement of damaged neurons haven't been reached yet, just protection of remaining neurons by neurotrophic and immunomodulatory factors secreted by stem cells. Keywords: neurodegenerative diseases, stem cells, clinical trials, multiple sclerosis, amyotrophic lateral sclerosis, Alzheimer's disease, Parkinson's disease
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Algorithms for anomaly detection in data from clinical trials and health registries
Bondarenko, Maxim ; Blaha, Milan (referee) ; Schwarz, Daniel (advisor)
This master's thesis deals with the problems of anomalies detection in data from clinical trials and medical registries. The purpose of this work is to perform literary research about quality of data in clinical trials and to design a personal algorithm for detection of anomalous records based on machine learning methods in real clinical data from current or completed clinical trials or medical registries. In the practical part is described the implemented algorithm of detection, consists of several parts: import of data from information system, preprocessing and transformation of imported data records with variables of different data types into numerical vectors, using well known statistical methods for detection outliers and evaluation of the quality and accuracy of the algorithm. The result of creating the algorithm is vector of parameters containing anomalies, which has to make the work of data manager easier. This algorithm is designed for extension the palette of information system functions (CLADE-IS) on automatic monitoring the quality of data by detecting anomalous records.
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Computer-aided data quality monitoring and assessment in clinical research
Šiška, Branislav ; Kolářová, Jana (referee) ; Schwarz, Daniel (advisor)
The diploma thesis deals with the monitoring and evaluation of data in clinical research. Usual methods to identify incorrect data are one-dimensional statistical methods per each variable in the register. Proposed method enters directly into database and finds out outliers in data using machine learning combined with multidimensional statistical methods that transform all column variables of clinical register to one, representing one record of patient in the register. Algorithm of proposed method is written in Matlab.
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Clinical trials of pharmaceuticals
Nedvědová, Michaela ; Svoboda, Petr (advisor) ; Millerová, Ivana (referee)
This master thesis is a description of the clinical trial, which is part of medical law un- der the law aspects. This thesis is split to topic, whose a brief outline is in the introduction. Process of the clinical trial and their institutions are discussed under the law and medical aspects. Resources of this thesis are a professional literature, knowledge of experts from pharmaceutical company and my own experience from part-time job in this type of com- panies. Aim of the thesis is to bring more resources and information about that topic to experts and other people who are interested in. This thesis is devided into five chapters. First chapter is speaking about a general insti- tute in the clinical trial. There are listed sources of the law. In the next chapter I deal with the process of the clinical trial from the begining i.e. from the development of a new sub- stance through the clinical trial to the final registration. The chapter about the european law regulation is following. In the fourth chapter I deal with the ethical aspects, which are conected with clinical trial. In that part I emphasised the influence of the international ethical documents. The last chapter is conclusion, where I describe the goal of this master thesis and also I am linking to the opinions of authorities regarding the...
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