Thu, Feb 25, 2021 11:00 AM – 12:00 PM EST


Accessibility to real-world data (RWD) and advances in artificial intelligence (AI) driven models and technologies make a powerful combination in advancing research and development efforts. So how do we use these new tools to tackle the challenges in developing and launching new treatments for rare diseases?

While RWD accessibility provides the ability to rapidly scan millions of patients, AI and predictive tools enable earlier detection and diagnoses and the prediction of likely outcomes in ways not previously possible. This webinar will explore some of the innovative approaches using RWD and AI to:

– Find under-diagnosed patients
– Identify rare sub-cohorts of patients within broader disease conditions
– Track changes in disease progression
– Predict outcomes
– Support treatment decision making


Alison Skrinar, VP Clinical Outcomes Research And Evaluation, Ultragenyx
Sonal Bhatia, MD. VP, North America Medical Lead, Rare Disease, Pfizer
Moderator: Joseph Zabinski, Senior Director, AI & Precision Medicine, OM1