How AI Simplifies Data Management for Drug Discovery

$985 million. That is the median cost of research and development of a new commercial drug.

This big business -- once a slow-paced, paper-first endeavor -- is now a promising new frontier for AI-driven innovation, helping to bring life-saving drugs to market faster.

It’s no small task. The estimated amount of health-care and life sciences data generated for each person in the world was 270GB as of 2020. That’s a huge volume of data to protect, keep compliant, and make sense of.

This report from MIT Technology Review Insights highlights how AI accelerates drug development by:

• Managing vast troves of data from research and development through clinical trials
  
• Protecting valuable IP and reducing regulatory burdens
  
• Connecting globally distributed teams and trial sites
  
• Streamline tasks such as tracking, auditing, and protecting personal health information