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Enhancing eCOA Through AI: A Look Ahead to 2025

Shawn Blackburn, President of YPrime Labs, highlights three ways artificial intelligence and machine learning can augment eCOA in this special AI section in Applied Clinical Trials. 

As the industry works to understand AI/ML’s precise role in clinical research, a new article in Applied Clinical Trials by YPrime Labs President Shawn Blackburn outlines three key transformations coming to electronic clinical outcome assessment (eCOA) in 2025: AI-powered translations for multilingual trials, real-time data quality validation, and predictive analytics for patient engagement. These advancements promise to streamline trials while maintaining regulatory compliance and improving data quality.
For additional insights on AI and clinical trials, read a new blog by Shawn Blackburn here. 

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