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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 […]

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 […]

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 […]

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 […]

Interview with Anandbir Brar, Chief Executive Officer, Excelra

We recently interviewed Anandbir Brar, Chief Executive Officer of Excelra. Excelra is the lead sponsor for our D4 Global virtual event.  […]

Digitising clinical trials

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

An end to placebos?

Health data is changing. Now, big data promises to breathe new life into clinical trial design. So, does this mean […]

How to reach underrepresented populations in research

A recent article, reported in Clinical Researcher on the ACRP website, discusses issues with engaging underrepresented populations in research and […]

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 […]

MethylationToActivity: A deep-learning framework that infers promoter activity

A recent study, published as a preprint in bioRxiv, presents a new machine learning framework – MethylationToActivity. This framework uses […]