Digital Tools Building Data Speedway from Bench to Market

How can current clinical data expertise incorporate real-world data (RWD), artificial intelligence (AI), and machine learning (ML) to make research more effective and efficient? “Informed by patient feedback via surveys and other mechanisms, real-world evidence could influence study design and protocol optimization by ensuring hybrid configurations and allowing for diversity, equity, and inclusion,” explains Indegene Head of Enterprise Clinical Ram Yeleswarapu. “From bench to market, discovery leading to the development and launch of safe and effective therapies will get accelerated by AI-ML. This will perhaps reduce or eventually obviate testing in animals and humans and enhance digital twins simulating these behaviors. AI-ML could play a very disruptive role as we look ahead.”