Clinical Trial Data Management II (45 minutes): The goal of the workshop is to provide practical examples of data management concepts in the context of clinical trials. Attendees will see how to apply ...

Clinical data management is entering a new phase as AI automates EDC build, shortens timelines, and enables data teams to focus on quality.

For years, one of the biggest barriers to effectively implementing artificial intelligence (AI) into clinical trial data management has been a lack of trust in its capabilities. Although this concern ...

Predictive analytics and real-time monitoring are improving clinical supply efficiencies, yet agentic AI may be the next frontier in supply chain management.

Just over a month after announcing its new Clinical Data Studio, Medidata has its first big customer. Eisai announced July 25 that it is incorporating Medidata’s data studio into its clinical trial ...

Faculty in this hub lead the design, coordination, and analysis of clinical trials for cancer treatment, survivorship, vaccine efficacy, infectious disease prevention and treatment, and cancer ...

In the last decade, the volume of clinical trial data has surged, presenting unprecedented challenges for sponsors and contract research organizations (CROs). The task of collecting, cleaning, ...

Randomization Techniques (60 minutes): In this workshop, the rationale behind randomized experiments will be explained. Descriptions of commonly utilized randomization algorithms will be presented, ...

The "Clinical Trial Management Services Market Size, Share & Trends Analysis Report By Services, By Indication, By End Use, By Region, And Segment Forecasts, 2025 - 2030" report has been added to ...

The Clinical Trials Management Certificate program from the University of Delaware’s Division of Professional and Continuing Studies (UD PCS) offers a robust, 14-week noncredit online training ...