FrontLine Genomics: Harnessing Data & Analytics at scale to transform R&D
Data is everywhere. Big data is becoming the norm in the biopharmaceutical industry. With evidence from research, clinical trials, and real-world data, generating insights and harnessing this incredible resource is critical for R&D success. But how can you make the best use of this data? What technologies must you implement at scale? And how do you overcome the challenges of doing this within a time-constraining R&D lab?
Join us for this interactive panel session on the strategic use of Data & Analytics to transform pharmaceutical R&D. The Sinequa speaker will be Jeff Evernham, and here is the abstract of his presentation on the webinar.
- Jennifer Wong, Head Real World Evidence, Americas, Sanofi
- Huanyu Zhou, Sr Director and Head of Data Analytics and Non-clinical Statistics, Teva Pharmaceuticals
- Ed Trautman, Vice President, Science and Clinical Analytics and Informatics, Pfizer
Surfacing insights across clinical trials and real-world data
Most large-scale analysis of clinical trial data only leverages part of the picture. Find out how patient-centric pharma organizations get the full insights to inform their clinical trial process. Jeff Evernham, VP of Customer Solutions at Sinequa, will show how the unique capabilities of Sinequa’s intelligent search platform combine information from multiple data sources to offer your knowledge workers a unified, contextualized view of the information they need. This comprehensive picture of organizational knowledge results in better insights, more effective trials, informed decisions, enhanced compliance, and reduced time to market.