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Data-driven eligibility criteria for COVID-19 clinical trials

We summarise a recent article, published in Journal of the American Medical Informatics Association, that evaluated the impact of eligibility […]

Real-world evidence in regulatory decision making

Real-world evidence can be used to show that a drug or medical device is safe and effective. The FDA has […]

Harnessing RWE for novel cancer therapy development

We summarise a recent article, published in Cell, that explored the benefits and challenges of using real-world evidence (RWE) in […]

Digitising clinical trials

A new perspective, published in npj Digital Medicine, has reviewed the status of digital clinical trials and described future priorities […]

Artificial intelligence systems in ophthalmology

A recent review, published in Current Opinion In Ophthalmology, explores the current status of artificial intelligence (AI) systems in ophthalmology. […]

A framework to generate real-world evidence using real-world data from clinical notes

A new study, published as a preprint in BMC Medical Informatics and Decision Making, has described a framework to generate […]

Are we ready to use AI to monitor health outcomes in the elderly?

A recent debate article, published in BMC Geriatrics, has explored whether artificial intelligence (AI) health monitoring may be a suitable […]

LEGEND: Large-scale Evidence Generation and Evaluation across a Network of Databases

The Observational Health Data Sciences and Informatics (OHDSI) international collaborative have launched a research initiative known as LEGEND. The aim […]

Optimising real-world studies

A recent editorial published in Translational Breast Cancer Research has summarised the concept of real-world studies (RWS) and the opportunities […]

Public perceptions on data sharing

A recent Comment, published in The Lancet Digital Health, has provided key insights into public perceptions on data sharing. Data […]