In longitudinal clinical trials, missing data is a threat to scientific integrity. Whether due to patient dropouts, missed visits, or protocol deviations, these gaps can distort results, reduce ...

Researchers have developed LifeClock, an AI-driven biological clock trained on over 24 million electronic health records to ...

Jane Hirst and colleagues argue that novel modelling approaches using routinely collected data can be only as representative and complete as the original data, and that bridging the sex and gender gap ...

Background Numerous studies have found associations between parental socio-economic position (SEP) and offspring asthma.

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

The annual survey that tracks homelessness in Los Angeles County has missed an increase of people "sleeping rough," without ...

As someone with a sound scientific background, immersed in the technical side of this work, I’ve seen firsthand how the field ...

Background Tobacco imagery in music videos can glamorise smoking, influencing youth attitudes and behaviours, yet its ...

A systematic review in the British Journal of Sports Medicine finds major inconsistencies in how heading impacts are measured ...

This page details the projects that were awarded funding as part of Phase 4 of the Evaluation Accelerator Fund (EAF). BackgroundIn March 2025, the ...