Ask the Expert Webinar Series

Leveraging RWD for Faster Drug Development by Generating Dynamic Cohorts

On-Demand (Originally presented: Oct. 2, 2025)  | Cost: Complimentary

About the webinar

Defining and building patient cohorts in pharma is as essential to drug development as it is complex. But what if there was an easier way – a more efficient way – to define patient cohorts? We’ll show you. SAS® Viya® offers accelerative evidence generation to support drug development and a dynamic way to efficiently and accurately define cohorts.

You will learn how to:

  • Efficiently and accurately define patient cohorts without the need to harmonize your data first.
  • Accelerate evidence generation through cross-collaboration among study team members.
  • Use raw data to create cohorts and generate evidence to support integrated evidence packages.

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About the experts


Sherrine Eid

Global Head of Epidemiology, RWE and Observational Research and an Ethics Ambassador, SAS

Sherrine is the Global Head of Epidemiology, RWE and Observational Research and an Ethics Ambassador at SAS with over 25 years of experience. She worked in global health development and served as the District Epidemiologist for the City of Alexandria, VA. At Lehigh Valley Health Network, she co-authored outcomes research with health care providers. Sherrine joined Teva Pharmaceuticals, supporting regulatory, safety, late-phase and post-marketing activities across therapeutic areas using clinical data and RWE. She now leads the epidemiology, real-world evidence and observational research efforts and contributes to trustworthy AI and responsible innovation at SAS Institute, Inc., as an Ethics Ambassador. Sherrine has co-authored over 100 peer-reviewed articles and has been cited over 1000 times, has been a guest on the SAS Health Pulse Podcast and has been invited to be a keynote or plenary speaker over 50 times.


Mary Dolegowski

Senior Solutions Architect, SAS

Mary Dolegowski is an experienced solutions architect at SAS with a history of working in the life science and health care industries. She is a strong information technology professional with bachelor’s degrees in electrical engineering and biomedical engineering from North Carolina State University and an MS in quantitative management with a focus in health analytics from Duke University's Fuqua School of Business.