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AI & Real World Data May publications

A new month means a new round-up of the top ten publications in the fields of AI and Real World […]

Building trust in real-world secondary data studies

A recent report, published in Value in Health, has described a plan for making registration of hypothesis evaluating treatment effectiveness […]

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 […]

Evaluation of data quality practices

Data quality is critical to avoid the ‘garbage in, garbage out’ paradigm. We summarise a recent systematic review, published in […]

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 […]

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 […]

Pharma to progress data-driven development at D4 Global

D4 Pharma is delighted to announce the launch of D4 Global: the world’s first truly global event focusing on data-driven […]

May pharma-published AI and Real World Evidence articles

Benjamin Hughes, Senior Vice President of Artificial Intelligence and Real World Data at IQVIA, has again collated the leading AI […]