Finding Value in Failing Trials

How AI-driven platforms can save failing trials by using data to hone protocols, identify sub-populations with shared traits, and ensure the right patients are recruited to demonstrate success

White Paper

July 25, 2019
Finding Value in Failing Trials US Letterweb
Failed clinical trials can cost sponsors more than a billion dollars, and waste years of time developing a drug that will never get to market. However, these losses can now be mitigated through the use of artificial intelligence (AI) and machine learning-driven platforms that identify sub-populations of patients within a clinical trial who could respond positively to a treatment.