Association between glucagon-like peptide-1 receptor agonists use and change in alcohol consumption: a systematic review.

Background: Despite the availability of various pharmacological and behavioural interventions, alcohol-related mortality is rising. This systematic review aimed to critically evaluate the existing literature on the association between glucagon-like peptide-1 receptor agonists use (GLP-1 RAs) and alcohol consumption.

Methods: Electronic searches were conducted on Ovid Medline, EMBASE, PsycINFO, clintrials.

An alcohol-related liver disease multi-stakeholder hub (ARMS-Hub) to enhance research activity in underserved communities in the UK.

Background: Alcohol use is the third leading risk factor of death and disability in the UK and costs the NHS £3.5 billion per year. Despite the high prevalence and healthcare burden of Alcohol-related Liver Disease (ArLD), there has been minimal research addressing prevention, morbidity and mortality.

Artificial Intelligence, Large Language Models, and Digital Health in the Management of Alcohol-Associated Liver Disease.

Artificial intelligence (AI) has the potential to aid in the diagnosis and management of alcohol-associated liver disease (ALD). Machine learning algorithms can analyze medical data, such as patient records and imaging results, to identify patterns and predict disease progression. Newer advances such as large language models (LLMs) can enhance early detection and personalized treatment strategies for individuals with chronic diseases such as ALD.