The idea that the pharma industry as a whole generates more data than ever before and needs an effective way to analyze and understand it is not new; however, 2020 brought about an unprecedented sense of urgency around the need to generate, organize, analyze, and act upon data in order to push through new products at record-breaking speed or while working outside of a traditional office or clinical trial setting. 

The Pharmaceutical R&D Informatics track will explore key challenges and solutions around developing and scaling key infrastructure, managing data generated via new technologies and services, and creating an effective informatics ecosystem while meeting scientific, business, and regulatory demands. We’ll explore the continued role FAIR data has in successful projects, strategies around developing analytics and visualization tools, and novel approaches to utilizing AI, NLP, and machine learning, and how these initiatives are driving innovation in R&D.

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Technology, Pharmaceutical

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