Cloud case studies
Self-service cognitive platform for biopharma
Analyzing clinical trial subject data to further drug development
Deloitte and a leading biopharma developed a cognitive platform, helping create stronger outcomes and understanding in the drug research and development process.
What kind of business results would you get if your people had more time? At a leading biopharma, the time it took their scientists to find and work with data was slowing down research efforts. The clock was ticking away as data requests took as many as three months to fulfill and predictive cognitive models days to build. Through a combination of advanced analytical techniques and machine learning models, this biopharma was able to reduce months to seconds and days to minutes.
"Through a combination of advanced analytical techniques and machine learning models, this biopharma was able to reduce months to seconds and days to minutes."
Completion times for data requests cut from months to seconds
What happened next
Our client was struggling using trial and error to manually find relevant sets of clinical trial subjects to analyze in their drug development process. Scientists were being turned into search engines, with some discoveries taking months. And when they did find a set of data applicable to their research, scientists had to send it out to a different department for analysis, further delaying their research.
Using visualization, high-performance computing, and data curation, Deloitte and the biopharma developed a cognitive platform for advanced analytics, visualization, modeling, and simulation. The self-service platform is intuitive and user-friendly for data science novices but also serves the more complex needs of advanced users.
This advanced analytical ecosystem to amplify intelligence can help create stronger outcomes such as understanding the way the human body responds and more rapid testing of scientific hypotheses on a wider array of clinical trial subjects. It's all about combining the data with computing platforms to help scientists discover new drugs faster.
By the numbers
Months to Seconds: Completion times for data requests cut from months to seconds
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