BookmarkSubscribeRSS Feed

Speed to Results: How SAS® Viya® is a Productivity Multiplier for Life Sciences R&D

Started ‎10-03-2023 by
Modified ‎10-05-2023 by
Views 323

The pandemic taught the biopharma industry many lessons, including just how vital R&D productivity is to ensure the health and well-being of our local and global communities. This session showcased how the SAS Viya platform is a productivity multiplier for both data scientists and clinical scientists, how SAS advanced analytics enables deeper insights and accelerates discovery, and how the open design of the SAS platform allows integration with your current workflow and the technologies you depend on. The session featured various innovative projects led by the SAS analytics Center of Excellence using SAS Viya to accelerate drug discovery, enable computational drug repurposing at the Food and Drug Administration, and support the development of personalized therapeutics in collaboration with the University of North Carolina and the Rapidly Emerging Antiviral Drug Development Initiative (READDI). The hosts held a fireside chat with a leading virologist who is applying SAS in the race to discover novel antivirals in preparation for the next pandemic. This industry session will also highlighted how the SAS Viya platform operationalizes AI-driven analytics with maximal transparency and reproducibility, ensuring results are trusted by scientists, regulators and, most importantly, patients.

 

Presentation slides are attached to this post.

 

Rachel Hardin, SAS

Hamza Ghadyali, SAS

Nat Moorman, READDI

Version history
Last update:
‎10-05-2023 12:52 PM
Updated by:

SAS Innovate 2025: Call for Content

Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!

Submit your idea!

Article Tags

SAS Explore 2023 presentations are now available! (Also indexed for search at lexjansen.com!)

View all available SAS Explore content by category: