Jay Brendan Smith
TransPerfect Life Sciences
Title: Practical ClinOps Applications of AI and Machine Learning – Real-World Use Cases
Biography
Biography: Jay Brendan Smith
Abstract
As Sponsors and CROs continually improve their efficiency when running Clinical Trials, Machine Learning has multiple, specific, and valuable use cases such as classification of documentation, metadata extraction from documentation, quality, and regulatory review. 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 sre being used and will be used in the future.