The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

Overly restrictive eligibility criteria for clinical trials may limit the generalizability of the trial results to their target real-world patient populations. We developed a novel machine learning ...

Diet is a complex exposure that can be analysed in terms of nutrients, food components, foods and dietary patterns. Foods can be eaten alone or in a variety of combinations, and intakes exhibit ...

Simulations of a real-world explanatory trial of transarterial radioembolization for advanced unresectable hepatocellular carcinoma with portal vein invasion were performed to examine the effects of ...

Clinical trial design decisions impact costs, access, and evidence gaps, with breast cancer as the most studied disease globally. The US leads in trial activity, with China showing rapid growth, ...

Marginalized racial and ethnic groups, women, and other historically disenfranchised populations are substantially underrepresented in clinical trials, despite increasing concern about this issue ...