Best of February: Top 5 Insights In Clinical Trial Technology

#1 - Bring-Your-Own-Device For eCOA — Is It Worth It?

At the recent SCOPE Summit, four experts in data management, monitoring, site operations, and tech weighed the pros and cons of adopting bring-your-own-device (BYOD) requirements for clinical trial eCOAs.

#2 - Revolutionizing Clinical Trial Feasibility: Introducing TA Scan's Trial Feasibility Flex

Learn how to transform feasibility into a continuous, data-driven process, that helps sponsors streamline trial planning, maintain timelines, and deliver therapies to patients faster.

#3 - Wearables: An Essential For Decentralized Clinical Trials

Bryan Hansen, Ph.D., director of Innovative Health at Johnson & Johnson Innovative Medicine, discusses types of wearables, his experience using them in neurological disease clinical trials, and some future plans for these devices.

#4 - 6 AI And Machine Learning Considerations For Effective Trial Management

If you plan to incorporate artificial intelligence (AI) and machine learning (ML) into your next clinical trial, there are multiple opportunities to optimize their use. These six considerations will help you plan out an effective trial.

#5 - Input Needed On Using AI To Create Lay Summaries Of Trial Results

CISCRP solicited feedback from research professionals, patients, and advocacy groups on its "Considerations for Using AI to Create Lay Summaries of Trial Results."