An integrated molecular modelling and pharmacoepidemiological data driven approach for adverse drug event signal detection and evaluation /

Date

2023

Authors

Janetzki, Jack

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thesis

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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

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)

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506 0#$fstar $2Unrestricted online access

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