An integrated molecular modelling and pharmacoepidemiological data driven approach for adverse drug event signal detection and evaluation /
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(Published version)
Date
2023
Authors
Janetzki, Jack
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
thesis
Citation
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Conference Name
Abstract
Medications are used by people all over the world to treat a multiplicity of issues from minor ailments to chronic conditions. If a patient experiences harm while taking a medication this is referred to as an adverse drug event. This thesis explores the utility of an integrated multi-method workflow to highlight, explore and evaluate adverse drug events. To do this, a novel approach of combining computational molecular modelling and population-level methodologies was implemented and applied to two adverse event scenarios: development and progression of Chronic Obstructive Pulmonary Disease or development of aortic aneurysm or aortic dissection. Integrating methodologies has improved the understanding of how these adverse drug events may occur at both a molecular level and in the wider population.
School/Discipline
University of South Australia. UniSA Clinical and Health Sciences
UniSA Clinical and Health Sciences
UniSA Clinical and Health Sciences
Dissertation Note
Thesis (PhD(Pharmaceutical Science))--University of South Australia, 2023.
Provenance
Copyright 2023 Jack Janetzki
Description
1 ethesis (xvi, 240 pages) :
colour illustrations.
Includes bibliographical references (pages 216-240)
colour illustrations.
Includes bibliographical references (pages 216-240)
Access Status
506 0#$fstar $2Unrestricted online access