Life Sciences

Medical imaging is often underserved by data lake architecture. Without proper labeling, the contents of an imaging data set, from the therapeutic areas to the number of patients, can take months to uncover. 

In this conversation, hear from two industry experts with experience in imaging strategy and advanced analysis across large biopharmaceutical organizations and CROs. They discuss challenges they have faced in managing imaging and efficiently gathering meaningful insights from disjointed data sources, as well as solutions to these problems. 

They tackle common scenarios, including: 

There are modern solutions to address these data challenges. In this talk, you’ll learn about medical imaging platforms that enable scientists to curate data for searchability, query data in place, collaborate in real-time, and track provenance to minimize code “archaeology”. Hear concrete examples of radiology read workflows that invite specialists and trained contributors to a unified platform to annotate data so sponsors can maintain control over their data and costs. 

Presenters