Background Here, we outline a method of applying existing machine learning (ML)
approaches to aid citation screening in an on-going broad and shallow systematic review of …

Preclinical research is a vital step in the drug discovery pipeline and more generally in
helping to better understand human disease aetiology and its management. Systematic …

Systematic review is a crucial method that has been widely used. by scholars from different
research domains. However, screening for relevant scientific literature from paper …

Background Researchers performing high-quality systematic reviews search across multiple
databases to identify relevant evidence. However, the same publication is often retrieved …

Objective This study aimed to evaluate the performance of large language models (LLMs) in
the task of abstract screening in systematic review and meta-analysis studies, exploring their …

Metaresearch is a scientific field involving the study of research itself. It has been applied to
clinical trials since the 1980s, 1 but has only become an emerging discipline over the last …

Background: In this paper we outline a method of applying machine learning (ML)
algorithms to aid 17 citation screening in an on-going broad and shallow systematic review …

I would also like to thank my colleagues, friends, and family who have supported me along
the way. Firstly, I would like to thank my supervisor Dr Emily Sena. You are not only an …

Background It is recommended that researchers who perform systematic reviews of the
literature search across several bibliographic databases in order to obtain as many records …

Animal models are widely used in research aimed at advancing human healthcare, although
their utility for this purpose is more often presumed, than studied. In this thesis I evaluate the …