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AI explainability in healthcare

AI explainability is one of the most discussed topics when it comes to applying AI in healthcare. Here, we summarise […]

NICE joins global initiative bringing evidence-based healthcare to the forefront

The UK’s National Institute for Health and Care Excellence (NICE) and six other global leaders, have announced a global initiative […]

Infographic: Automated machine learning in healthcare

This really great infographic was shared by a member of our community and we thought it worth passing on. Through […]

Interoperability: A three-pillar strategy to integrate health data

The Swiss Personalised Health Network developed a flexible, pragmatic framework that promotes interoperability between diverse biomedical datasets. The proposed three-pillar […]

New diagnostic tool for Alzheimer’s could improve drug trial recruitment

Researchers at Lund University in Sweden have developed an algorithm that combines data from simple blood tests and brief memory […]

Drug-Drug Interaction Algorithms – An Evaluation

A recent study developed, validated and evaluated drug-drug interaction algorithms that alert clinicians to potentially harmful interactions, which take advantage […]

IBDREAM Registry – Adverse Drug Reactions from Real-World Data in IBD

A recent study, published in Drug Safety, aimed to describe the adverse drug reactions reported in inflammatory bowel disease patients […]

A digital therapeutic for opioid use disorder

A recent study evaluates the impact of a digital therapeutic for opioid use disorder on health utilities and overall costs. […]

Using a knowledge graph to discover adverse reactions

Researchers have constructed a tumour-biomarker knowledge graph and used it to discover potential adverse drug reactions from antitumour drugs. Adverse […]

Drug repurposing in Alzheimer’s disease

Researchers have developed a machine-learning framework that can identify candidates for drug repurposing in Alzheimer’s disease. Alzheimer’s disease Due to […]