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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

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Showing 1 to 20 of 29 for “"Drug safety"”.

  1. Pharmacoepidemiology and Drug Safety: Examining Clinical Drug Trials Via Technology

    This thesis provides a succinct analysis on the use of Information Technology (IT) in the fields of clinical research and pharmacoepidemiology. The primary research project explores a means of identifying a cost effective, and robust mechanism for conducting large scale clinical study using IT. The …

    dundee Repository record for Pharmacoepidemiology and Drug Safety: Examining Clinical Drug Trials Via Technology (opens in a new tab)

  2. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data

    A primary objective in postmarketing drug safety surveillance is to ascertain the relationship between time-varying drug exposures and adverse events (AEs) related to health outcomes. Surveillance can be based on longitudinal observational databases (LODs), which contain time-stamped patient-level …

    columbia-diss Repository record for Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data (opens in a new tab)

  3. Exploring machine learning techniques using patient interactions in online health forums to classify drug safety

    … collected from online message forums to predict drug safety using natural language processing and machine learning techniques. Drug safety is defined as any drug with an active safety alert from the US Food and Drug Administration (FDA). It is believed that this is the first exploration of …

    uiuc Repository record for Exploring machine learning techniques using patient interactions in online health forums to classify drug safety (opens in a new tab)

  4. Optimising methodology for the elicitation of participant-reported data relating to drug safety in resource poor settings

    … and elimination requires giving antimalarial drugs to asymptomatic or uninfected individuals. This shifts the harm-benefit balance and heightens the importance of accurately defining drug safety. Large data sets, including those pooled from multiple sources, are needed to understand uncommon …

    cape-town Repository record for Optimising methodology for the elicitation of participant-reported data relating to drug safety in resource poor settings (opens in a new tab)

  5. Development of harmonised approaches for detecting and recording participant-reported anti-malarial drug safety data: The Delphi process

    … research participants is integral for evaluating drug safety. However, using different methods to question participants yields inconsistent results, compromising the interpretation, comparison and pooling of data across studies. This is particularly important given the widespread use of …

    cape-town Repository record for Development of harmonised approaches for detecting and recording participant-reported anti-malarial drug safety data: The Delphi process (opens in a new tab)

  6. Assessing the effectiveness and challenges of adverse drug reaction reporting systems: a systematic review

    Adverse Drug Reaction (ADR) reporting is a process that includes recording adverse events that are suspected to have a relationship with the utilization of medicinal products, medical devices and cosmetics. However, persistent underreporting remains a major global concern that limits the early …

    western-cape Repository record for Assessing the effectiveness and challenges of adverse drug reaction reporting systems: a systematic review (opens in a new tab)

  7. NEW METHODS TO QUANTIFY METHIONINE OXIDATION AND PROTEIN GLYCOSYLATION AND A DE NOVO GLYCOPEPTIDE DECOY GENERATOR

    … MS tools to characterize PTMs and ensure drug safety and efficacy. Methionine oxidation and glycosylation are two PTMs that can impact protein structure, stability and pharmokinetic properties. The highly spontaneous nature of methionine oxidation makes it challenging to analyze because …

    ku Repository record for NEW METHODS TO QUANTIFY METHIONINE OXIDATION AND PROTEIN GLYCOSYLATION AND A DE NOVO GLYCOPEPTIDE DECOY GENERATOR (opens in a new tab)

  8. Data Mining for Signal Detection of Targeted Therapy Related Drug Toxicity in Breast Cancer Patients

    … using claims data can improve post-marketing drug surveillance. The aim of this study is to compare two routinely used approaches, the proportional reporting ratio (PRR) and Gamma Poisson Shrinker (GPS) with a tree-based scan statistic (TBSS). Using data from the Texas Cancer Registry and …

    tdl Repository record for Data Mining for Signal Detection of Targeted Therapy Related Drug Toxicity in Breast Cancer Patients (opens in a new tab)

  9. Data Mining for Signal Detection of Targeted Therapy Related Drug Toxicity in Breast Cancer Patients

    … using claims data can improve post-marketing drug surveillance. The aim of this study is to compare two routinely used approaches, the proportional reporting ratio (PRR) and Gamma Poisson Shrinker (GPS) with a tree-based scan statistic (TBSS). Using data from the Texas Cancer Registry and …

    utmb Repository record for Data Mining for Signal Detection of Targeted Therapy Related Drug Toxicity in Breast Cancer Patients (opens in a new tab)

  10. Development of a public health information infrastructure for postmarket evidence

    … underutilized, and mismanaged to inform safety and comparative clinical effectiveness. Congress has tasked the Food and Drug Administration to build a public health information infrastructure for drug safety. It also has allotted $1.1 billion dollars in new spending for comparative …

    mit Repository record for Development of a public health information infrastructure for postmarket evidence (opens in a new tab)

  11. A case study of Vioxx using STAMP

    … the application of a systems approach to drug safety. The recall of the prescription drug Vioxx (Rofecoxib) was used as a test case to study whether STAMP (Systems Theoretic Accident Model and Processes) could be used to outline the interactions between the different pharmaceutical system …

    mit Repository record for A case study of Vioxx using STAMP (opens in a new tab)

  12. Informing Public Health Policy Design and Operations with Analytics: Methods and Applications

    … pharmacovigilance, which is key to drug safety regulatory work. It presents PR1SM (Patients Really are 1st in Signal Management), an AI-based framework for identifying potential drug safety signals using post-marketing surveillance data. By structuring adverse event reports into …

    mit Repository record for Informing Public Health Policy Design and Operations with Analytics: Methods and Applications (opens in a new tab)

  13. Paracetamol metabolism in postoperative patients

    … this study, there was little evidence of their safety in surgical patients. When assessing drug safety in surgical patients a number of surgery and patient related factors influence results, and these must be considered. Methods: Major and intermediate surgical patients were recruited from two …

    cork Repository record for Paracetamol metabolism in postoperative patients (opens in a new tab)

  14. Application of Hyper-geometric Hypothesis-based Quantication and Markov Blanket Feature Selection Methods to Generate Signals for Adverse Drug Reaction Detection

    … is the science relating to all concerns about drug safety, especially ofmanaging the risk associated with medications. It serves as a complementary approach toclinical trial. Spontaneous Reporting Systems (SRS) had been constructed world-widely tofacilitate tracking the risk of post-marketing …

    ohiolink Repository record for Application of Hyper-geometric Hypothesis-based Quantication and Markov Blanket Feature Selection Methods to Generate Signals for Adverse Drug Reaction Detection (opens in a new tab)

  15. Nutrient Drug Interaction Probability Scale (NDIPS): A Creation and Validation Process

    Background:Drug-nutrient interactions (DNIs) are interactions between drugs and nutrients that can result in clinically relevant physiological alterations. Despite their potential impact, the importance of DNIs is heavily undervalued and overlooked. Evaluation of drug safety mainly focuses on …

    washington Repository record for Nutrient Drug Interaction Probability Scale (NDIPS): A Creation and Validation Process (opens in a new tab)

  16. Engineering synthetic biology routes for protein analysis using microfluidic systems

    … importance as subjects of physiological study,drug targets in high-throughput assays for drug discovery and drug safety screening1. Microfluidic devices can be used for manipulating and analysing proteins, greatly benefiting many of the applications mentioned. The ability to produce artificial …

    strathclyde Repository record for Engineering synthetic biology routes for protein analysis using microfluidic systems (opens in a new tab)

  17. Renal Toxicity Warnings and Precautions of Drugs Marketed in the US

    <p>INTRODUCTION: The use of drugs can lead to renal adverse effects prompting the need to include warnings and precautions on medication labels. Studies evaluating renal warnings and precautions need to be improved. This study assessed the characteristics of FDA renal toxicity warnings and …

    chapman Repository record for Renal Toxicity Warnings and Precautions of Drugs Marketed in the US (opens in a new tab)

  18. Development and validation of an in vitro human model of drug-induced vascular injury

    Drug safety is a major cause of attrition in contemporary drug development. Many promising candidate drugs are terminated in the developmental process or withdrawn in the post-approval stage because of adverse drug reactions (ADRs). Among these, cardiovascular (CV) ADRs occur with a high incidence. …

    cambridge Repository record for Development and validation of an in vitro human model of drug-induced vascular injury (opens in a new tab)

  19. Using Cell Painting and Chemical Data for Small-molecule Bioactivity and Toxicity Prediction

    … biological effects. Traditional approaches in drug discovery primarily rely on chemical structure fingerprints, which do not capture biological responses to compounds. By integrating cell morphology data, models offer a more comprehensive view, improving the prediction and accuracy for various …

    cambridge Repository record for Using Cell Painting and Chemical Data for Small-molecule Bioactivity and Toxicity Prediction (opens in a new tab)

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