What if you could securely discover data across a global research network and identify potential collaborators for projects? What if you had a way to streamline and accelerate the massive task of data aggregation, curation and management? What if this could be done while still maintaining patient privacy and data security?
Getting your hands on diverse, secure data in volumes needed to build robust AI algorithms is notoriously difficult. And it stymies innovation. Thankfully, times are changing.
In this webinar, we discuss:
- Real-life examples and scenarios from research teams that are developing collaborative data networks, as well as the outcomes.
- The therapeutic areas experiencing accelerated innovation with enhanced data discovery and collaboration.
- And more
Francisco Gimenez, Partner, 8VC
Jim Olson, CEO, Flywheel
Daniel Marcus, Ph.D., Chief Scientific Officer, Flywheel