In this free webinar, learn about the challenges AI researchers face in accessing sufficient amounts of well curated data for model training. Life sciences enterprises need to unite and standardize data from their own archives, and often bring in external data as well. Attendees will learn about strategies for standardizing curation, as well as cutting edge AI methods like federated learning.

TORONTO, Ontario, Jan. 5, 2023 /PRNewswire-PRWeb/ — R&D departments are gravitating toward cloud-scalable, data-driven strategies to take advantage of the artificial intelligence (AI) boom. But AI is incredibly data-hungry, and many life sciences organizations are looking for better ways to feed the beast, by accessing and leveraging both internal and external datasets.

To make internal data most useful, enterprises need to establish basic data management practices for centralization, curation and computing. This has been especially challenging for imaging data, given its complex nature. MR and CT scans, X-rays and other imaging data hold tremendously valuable information for AI but extracting and cataloging this data can seem prohibitive at an enterprise level.

Similar problems apply when seeking external data — with additional challenges in costs, compliance and ensuring quality and consistency. Some researchers are beginning to leverage federated learning & analytics — sending algorithms to data where it resides — to sidestep challenges with compliance and data privacy. This approach holds great promise, but the basic data management issues remain, and researchers need mechanisms to understand the quality, scope and other attributes of a dataset before using it in a federated learning effort.

Join Flywheel’s experts in imaging research and data governance for a discussion of how these issues are playing out in life sciences organizations. How can research teams better take advantage of datasets both inside and outside their walls to train AI models and accelerate R&D? And how are organizations planning for the future while also dealing with research challenges in the here and now?

Join Can Akgun, PhD, Senior Vice President of Business Development, Flywheel; and Costas Tsougarakis, Vice President, Life Sciences Solutions, Flywheel, for the live webinar on Thursday, January 19, 2023, at 12pm PST (3pm EST).

For more information, or to register for this event, visit Diverse Datasets — How to Find, Curate & Leverage them to Fuel AI Research.

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