Clinical trials are the engine behind every new treatment we see – from life-saving cancer drugs to vaccines that help us fight global pandemics. But behind the scenes, running these trials involves juggling massive amounts of complex, sensitive data. For pharmaceutical companies, outdated technology systems can slow everything down, delaying
Have you ever been involved in executing an exploratory analysis based on an integrated clinical trial database? If so, you've probably experienced firsthand how elaborate the initial phase of data access and data processing can be. Market analysts estimate the ratio for preparing the data, compared to actually analyzing the information,
Collecting, managing, standardizing and analyzing clinical data during (and after) a clinical trial is crucial in the process for submission and regulatory approval of a new compound, biological, device or other therapy. A central clinical platform requires: Robust and auditable analytics to prove the result to the authorities and external
Collecting, managing, standardizing and analyzing clinical data during (and after) a clinical trial is crucial in the process for submission and regulatory approval of a new compound, biological, device or other therapy. A central clinical platform requires: Robust and auditable analytics to prove the result to the authorities and external
A colleague and I were looking for a good example of how analysts used to use graphics to report data, a data visualization before and after, so to speak. We needed a good "before" screenshot for a “before and after” comparison for our SAS Global Forum 2015 paper, Visualizing Clinical Trial Data.
I’m sure, like me, you've been annoyed at being stuck in a traffic jam in a city centre somewhere, or been frustrated at your kids leaving lights on, or annoyed with the heating coming on when the weather’s warmed up and you've not got round to adjusting the thermostat. Now,
