A Practical Guide to Using Machine Learning for RBQM in a New Clinical Trial Landscape, Upcoming Webinar Hosted by Xtalks


This practical webinar will help set your organization up for success by offering a fresh perspective on the key goals of risk-based quality management (RBQM) and how you can best implement ML as part of this process for streamlined and effective data exploration.

Artificial intelligence technology, including machine learning (ML), is an increasingly hot topic in clinical research, but there are still important questions to be answered when putting these systems into action. This practical webinar will help set your organization up for success by offering a fresh perspective on the key goals of risk-based quality management (RBQM) and how you can best implement ML as part of this process for streamlined and effective data exploration.

In this webinar, Remarque Systems experts will discuss:

  • How to align your team on the basic RBQM framework to reorient your trial management strategy toward your goals
  • Where in the RBQM process ML can be leveraged most easily
  • Common examples of ML in our day-to-day lives
  • Practical ways to successfully utilize and leverage ML in your day-to-day clinical research processes, including real-world examples

Join expert speakers from Remarque Systems, Amanda Coogan, Senior Customer Partnership Manager and Rhonda Roberts, MSPH, Manager, Data Scientist, in a live webinar on Wednesday, October 13, 2021 at 11am EDT (4pm BST/UK).

For more information, or to register for this event, visit A Practical Guide to Using Machine Learning for RBQM in a New Clinical Trial Landscape.

ABOUT XTALKS

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