The power of AI in transforming clinical trials

Artificial intelligence (AI) technology, combined with automatically collected big data hold the potential to solve many key clinical trial challenges. These include increasing trial efficiency through better protocol design, patient enrollment and retention, and study start-up, which were each named as prime candidates for improvement by nearly 40% of sponsors in a recent ICON-Pharma Intelligence survey.1 With clinical trials accounting for 40% of pharma research budgets2, sponsors need new ways to accelerate timelines and reduce costs. Data-driven protocols and strategies powered by advanced AI algorithms processing data automatically collected from mobile sensors and apps, electronic medical and administrative records, and other sources have the potential to significantly cut trial costs. They achieve this by improving data quality, increasing patient compliance and retention, and identifying treatment efficacy more efficiently and reliably than ever before.