The integration of digital tools has brought better efficiency to clinical trials. Among these innovations, wearable devices are changing how data are collected, monitored, and analyzed. The use of wearables also changes how study teams interact with their participants.
Artificial intelligence could be leveraged to reduce the administrative burden associated with laborious, site-specific documents to provide clinical trial teams more time to conduct high-priority tasks such as identifying, screening, and enrolling patients.
Decentralized clinical trials have emerged in popularity in the clinical research industry in recent years. Advantages and disadvantages to this clinical trial operations model are described here through the lens of quality management, participant outcomes, and data management.
While there is no “wrong” pathway to become a clinical research associate (CRA), the responses to a recent survey of current and former CRAs suggest an ideal pathway one might follow to optimize the ability for the potential candidate to receive as much experience as possible.
This article delves into the role of multi-omics in enhancing cancer clinical trials, highlighting its promise against the backdrop of frequent trial failures encountered in oncology research and limited success of precision medicine.