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Pharma walks a hard road getting life-saving drugs to market. That’s why speed becomes so crucial in the New Drug Application approval process. In this process, pharma companies face many challenges such as the race to market, competition, and maintaining compliance This new report, co-created by Emerj and YSEOP, explores the process that helped reduce significantly the considerable amounts of time, effort, and medical expertise invested into CSRs (Clinical Study Reports). In this 9 page report, you’ll gain insight on: 1. Challenges Until recently, automating the organization of clinical trial data into a solution that would draft vast parts of a CSR report was unthinkable. That’s when Sanofi, approached Yseop about a solution. Together, Sanofi and Yseop explored AI options that could reduce the considerable amounts of time, effort, and medical expertise invested into CSRs. 2. Actions Taken Discover how the Yseop/Sanofi team looked at ways that AI, Machine Learning, and Natural Language Generation (NLG) could help automate the structured data points of the CSR. 3. Results While NLG cannot grasp the nuances and complexities available to human intelligence, YSEOP’s solution delivers true value where humans cannot. Read about the delivered results in terms of cost savings, quality, risk removal and process streamlining. |
