As sponsors and CROs continually improve their efficiency when running clinical trials, machine learning has multiple, specific, and valuable use cases. Attendees will hear about the following effective use cases:
- Classification of documentation
- Metadata extraction from documentation,
- eTMF health assessment
These key areas involve the processing of thousands of pieces of data in addition to classic use cases for clinical outcome assessments, patient-reported outcomes, site quality, and patient enrollment.
Attendees will be guided on the practical use of these technologies. They will learn to determine the use cases that are most relevant and applicable in clinical operations. Finally, the session will describe some examples of how these technologies are being used and will be used in the future.
