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Data harmonization in clinical research studies: Challenges and opportunties
Data harmonization is crucial in multi-site clinical trials to ensure data integrity, comparability, and usability. In this video, we discuss the importance of data harmonization, outlining key challenges and best practices to help teams unlock data's full potential for advancing medical research.
Aug 12, 2024Leveraging AI and machine learning for enhanced research samples quality assurance in research
AI and machine have the potential to enhance biospecimen quality assurance by automating data quality, predicting patterns, minimizing human error, and providing real-time detection of quality issues. The use of these readily accessible technologies would allow more reliable research outcomes.
May 2, 2024