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 …

We report a systematic review and meta-analysis of research using animal models of
chemotherapy-induced peripheral neuropathy (CIPN). We systematically searched 5 online …

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 …

Objectives: Information professionals have supported medical providers, administrators and
decision-makers, and guideline creators in the COVID-19 response. Searching COVID-19 …

Methods: A systematic electronic search of 3 online databases will identify relevant studies
in which cannabinoids, cannabis-based medicines, and endocannabinoid system …

In the field of regulatory science, reviewing literature is an essential and important step,
which most of the time is conducted by manually reading hundreds of articles. Although this …

Objectives Our main objective is to assess the inter-reviewer reliability (IRR) reported in
published systematic literature reviews (SLRs). Our secondary objective is to determine the …

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 …

Objective At the forefront of machine learning research since its inception has been natural
language processing, also known as text mining, referring to a wide range of statistical …