Case Studies

Across industry, scientists are using AI to extract useful patterns from data, improve studies of conditions such as neurological disorders, oncology, and ophthalmology, and increasingly for drug development. One critical area is the analysis of medical imaging data, which contains important insights for assessing treatment effectiveness. In this GEN webinar, Daniela Ferrara, MD, PhD (Roche and Genentech) and Shelby Wyatt, PhD (Flywheel) discuss how imaging-based AI helps data scientists and innovators accelerate drug development initiatives and move the needle towards personalized healthcare. They cover how to build reliable, scalable solutions that seamlessly integrate advanced AI technology and enable robust imaging data management and analysis.