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E-book Library Leveraging AI to automate clinical intelligence in biotech: case studies on early risk detection

Leveraging AI to automate clinical intelligence in biotech: case studies on early risk detection

Produced by STAT Brand Studio, Sponsored by AppliedXL

In the last 12 months, there were over 2.5 million changes in the U.S. clinical trials registry. That equates to nearly 6,800 updates per day. 

Many of these changes are expected, however, deviations from the path make it possible to identify patterns that can anticipate trial outcomes. STAT Trials Pulse, a new platform developed in partnership with AppliedXL, surfaces these hidden signals from public data to anticipate timeline delays, disruptions, and other red flag signals in clinical trials before they become news.  

This collection of articles highlights, through case stories, the impact of predictive algorithms for early detection of red flags in drug development, and how they help life sciences professionals to strategize and make moves ahead of the news cycle.

Publication date: May 2023

Print length: 69 pages

File size: 4 MB

File format: PDF

Language: English

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About the sponsor

About the sponsor

AppliedXL is a real-time information company combining machine learning techniques with the principles of investigative journalism. Its technology is used to power STAT Trials Pulse, a platform that enables biotech professionals to make faster decisions with the help of real-time alerts, dashboards, and briefings. We believe in holding data to a higher standard by representing information with focus and clarity, while also finding meaning with human context.