The AI Paradox In Clinical Trials

AI is advancing drug discovery and the way clinical trial results are analyzed and interpreted. But those advances still depend on the quality and reliability of the data generated during the trial itself.

In this short webinar excerpt, Dr. Richard Graham points to a paradox that is easy to overlook: while the industry invests in increasingly sophisticated technologies, critical trial information is still often recorded by hand at clinical sites and entered later into electronic systems. Until clinical data is captured more reliably at the source, advanced tools can only go so far.