Optimizing Clinical Trials GEN Genetic Engineering & Biotechnology News - Biotech from Bench to Business GEN

Analyzing and understanding social media and patient discussions at forums provide additional leading indicators of potential study issues. This functionality will enable us to predict the likelihood of meeting the required recruitment number at sites and the most optimal match to make the study a success in terms of time and budget. This learning model can predict the success probability of a specific site for the target study. A recent McKinsey Global Institute (MGI) report,6 "The Age of Analytics: Competing in a Data-Driven World," explains the role of analytics for enhanced decision making, disruptive business models, and organizational challenges.