Discover how Medidata's Rave CTMS seamlessly met the comprehensive requirements of Catalyst Clinical Research—an exclusive CRO provider specializing in oncology—during a period of rapid expansion.

Artificial intelligence (AI) and machine learning (ML) hold transformative potential in pharmacovigilance (PV), with the ability to enhance the efficiency, accuracy, and timeliness of drug safety monitoring.

The proliferation of data sources and the rise of outsourced trials has changed how CTMS is defined. What role does a CTMS play in the modern-day clinical trial and are you future-ready?

Explore how these integrated solutions helped an emerging biopharma to implement a plan for study build and migration with minimal disruption to sites.

Uncover how Imperial College London was able to effectively transfer 14 ongoing studies, encompassing over 1,700 patients and 150,000+ forms, onto a new EDC platform within 16 months.

Flatiron Health has unveiled an innovative service designed to enhance patient screening for clinical trials by integrating structured EHR data with machine learning and human analysis.

Not every electronic trial master file will provide the robust support and compliance measures required. When searching for a successful solution, make sure the eTMF of interest has these five features.

Explore the three things that all studies try to achieve with their trial master file, and how the accelerated usage of the eTMF helps to both manage and meet these expectations.

Most unauthorized data breaches enter through doors that already exist. Learn how role-based access can improve security by tailoring access to each user’s needs and responsibilities.