A Moderated Discussion: Breaking Down Research Data Silos for Accelerated Innovation

Image by Peachaya Tanomsup

Breaking Down Research Data Silos
for Accelerated Innovation

Watch On-Demand

Accelerating pharma innovation depends on maximizing the value of biomedical data assets, including imaging data. Within research organizations, however, data is often underleveraged, siloed, and disorganized. This adds to R&D timelines and costs, hinders AI development, and prevents collaboration that can lead to breakthroughs.

How can companies address these data challenges with maximum buy-in and minimal disruption?

Our panelists discuss:

  • The barriers to breaking down data silos in pharma
  • Cues life sciences organizations can take from the FAIR data principles
  • Tools for standardizing how data is captured, curated and shared
  • How standardizing curation can speed AI development
  • Examples of pharma successes in breaking down data silos


  • Dan Marcus, PhD; Chief Scientific Officer, Flywheel
  • Costas Tsougarakis; Vice President Life Sciences Solutions, Flywheel
  • Oliver Keown, MD; Managing Director, Intuitive Ventures

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