According to the Tufts Center for the Study of Drug Development, it currently costs $2.6 billion to develop a prescription drug that gains market approval. At the industry’s current pace, that figure will explode to $32 billion by 2050. How can life sciences companies cut costs while speeding time-to-market?
Watch this webinar to dive into how the next generation of technologies such as Artificial Intelligence (AI), Robotic Process Automation (RPA), and Internet of Things (IoT) are offering opportunities to dramatically increase efficiency while cutting costs in R&D projects and processes.
You will learn:
- How AI and RPA can support setup in clinical trials/study start-up and reduce complexity for faster, more accurate outcomes
- How automated analytics of existing big data in clinical trials can boost results and focus study set-ups/endpoints for new trials
- How Intelligent Automation in Safety Information Tracking can unlock patient value with automated scanning of external safety information