Data Quality, Model Validation, and Governance for AI Digital Twins and Synthetic Data

Please join us on Monday, May 18, 2026, from 12:00 – 1:00 pm ET for the fourth webinar in the MRCT Center’s AI Digital Twins and Synthetic Data series. This webinar will focus on data provenance and quality, model validation, and the emerging infrastructure needed to support the clinical and regulatory adoption of these technologies. 

It will explore how to evaluate whether the models used are credible, whether the data underlying them are reliable and traceable, and whether the outputs can be verified and validated for use in regulatory and clinical decision-making. Panelists will discuss what it means for a model to be “fit for purpose,” how definitional differences among these technologies shape regulatory review, and how clinicians, sponsors, reviewers, and regulators may use, interpret, and deploy these tools. The session will include a moderated discussion and time for audience Q&A.

Panelists:



• Daniele Bertolini, Principal Scientist, Unlearn.AI
• Tina Morrison, VP, Scientific Strategy, EQTY Lab
• Chao-Yi Wu, Assistant Professor of Neurology, Massachusetts General Hospital

Moderator: Barbara Bierer, Faculty Director, MRCT Center

Please share this registration link with colleagues or others in your network who may be interested.

We look forward to your continued participation in this important series.

Warm regards,

The MRCT Center