The main market opportunities lie in developing comprehensive training and support services for implementing and integrating clinical quality management systems (CQMS) that align with evolving ...

AI and ML are transforming clinical trials by enhancing efficiency, reducing costs, and improving outcomes. Opportunities include understanding AI/ML fundamentals, optimizing trials, predicting ...

Clinical data archiving, the movement of inactive patient information from a production electronic health record (EHR) to a long-term storage solution, has been happening at major hospitals and health ...

Despite rapid growth, only 9.2% of DCTs are multiregional and over 80% single-country, indicating challenges in international implementation. 2 With regulatory agencies 4–7 underscoring risk-based ...

Healthcare providers receive data from many disparate sources: hospitals, doctors’ offices, labs and lab machines, medical devices, pharmacies, and more. Investment in the correct infrastructure to ...

NEW YORK--(BUSINESS WIRE)--Medidata, a Dassault Systèmes company and leading provider of clinical trial solutions to the life sciences industry, today announced new experiences for enhancing and ...

It is now a commonplace to propose high-dimensional molecular characterization within the translational research objectives of contemporary clinical trials. Similarly, most of these methods are being ...

From planning to trailblazing, discover the world of data management in this guide. Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most ...

Impact of Increasing Wait Times on Overall Mortality of Chimeric Antigen Receptor T-Cell Therapy in Large B-Cell Lymphoma: A Discrete Event Simulation Model The DW encompassed 16 tables, which ...