Clinical studies, especially randomized, controlled trials, are essential for generating
evidence for clinical practice. However, generalizability is a long‐standing concern when …

There is a growing focus on making clinical trials more inclusive but the design of trial
eligibility criteria remains challenging,–. Here we systematically evaluate the effect of …

Background Having a representative population in randomized clinical trials (RCTs)
improves external validity and generalizability of trial results. There are limited data …

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 …

We present Chia, a novel, large annotated corpus of patient eligibility criteria extracted from
1,000 interventional, Phase IV clinical trials registered in ClinicalTrials. gov. This dataset …

The last decade has seen an unprecedented increase in the volume and variety of
electronic data related to research and development, health records, and patient self …

Background Clinical trials are vital for develo** new therapies but can also delay drug
development. Efficient trial data management, optimized trial protocol, and accurate patient …

Social media have transformed business commerce and consumer communication, yet
organizational leaders lack clear strategies for using social media platforms to their …

The design of randomized controlled clinical studies can greatly benefit from iterative
assessments of population representativeness of eligibility criteria. We propose a multi-trait …

Growing evidence has demonstrated significant, persistent, and widespread disparities in
cancer clinical trial enrollment across myriad disease sites and target populations. Although …