GUIDE

AI and pharma R&D: a guide to getting to market faster

The average cost of developing a new drug rose from $1.96 billion to $2.24 billion between 2021 and 2022 – a 12.5% increase. There's clearly a pressing need for innovative solutions that can streamline these processes and reduce expenses. AI offers countless opportunities across a range of R&D use cases that can help pharma organizations control costs and get to market faster.

This guide explores how R&D teams in pharma organizations can use AI to streamline drug discovery, accelerate clinical trials and eliminate duplication of efforts.

Download your copy to learn how innovative pharma leaders are using AI to:

• Streamline drug discovery by quickly identifying promising drug targets and expediting early-stage research.
• Accelerate clinical trials by designing more efficient trial protocols, optimizing patient recruitment and navigating regulatory requirements with ease.
• Eliminate duplication of efforts by connecting researchers with relevant expertise and past research findings, avoiding redundant work and fostering collaboration across teams.