Background The COVID-19 pandemic has highlighted health disparities affecting ethnic
minority communities. There is growing concern about the lack of diversity in clinical trials …

Background: Demographic characteristics, social determinants of health (SDoH), health
inequities, and health disparities substantially influence the general and disease-specific …

Summary Background Randomised controlled trials (RCTs) inform prescription guidelines,
but stringent eligibility criteria exclude individuals with vulnerable characteristics, which we …

The onset of the COVID-19 pandemic revealed significant gaps in the United States'
pandemic and public health emergency response system. At the federal level, government …

Randomised trials, especially those intended to directly inform clinical practice and policy,
should be designed to reflect all those who could benefit from the intervention under test …

While interest in the application of machine learning to improve healthcare has grown
tremendously in recent years, a number of barriers prevent deployment in medical practice …

Background The aim of this study is to provide a comprehensive understanding of the
current landscape of artificial intelligence (AI) for cancer clinical trial enrollment and its …

The approach to patient engagement (PE) in drug development has changed rapidly due to
many factors, including the complexity of innovative drugs and the need to demonstrate …

This study proposes using a machine learning pipeline to optimise clinical trial design. The
goal is to predict early termination probability of clinical trials using machine learning …

Research participants often do not represent the general population. Systematic exclusion of
particular groups from research limits the generalizability of research findings and …