Webinar: Text Mining at AstraZeneca - Comparing Real-World Evidence to Clinical Trial Events

Webinar: Text Mining at AstraZeneca - Comparing Real-World Evidence to Clinical Trial Events

Text mining allows organizations to extract unstructured data to inform key decisions and speed up the drug discovery pipeline. In this FiercePharma webinar, AstraZeneca present how, through their collaboration with PatientsLikeMe (PLM), they were able to examine differences in Nausea adverse reactions (AR) frequencies between patient on-line self-reported data, and data from FDA Drug Product Labels extracted using I2E, Linguamatics Life Science text mining platform.

Access the webinar, or download the full case study. You can also read more in our blog. 

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