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Automated analysis of medical imaging data is just one of the ways that artificial intelligence (AI) technologies are transforming the standard of care in medicine. Across industry and academia, scientists are using AI to extract useful patterns from data, improve studies of conditions such as neurological disorders, oncology, and ophthalmology, and increasingly in the context of drug development. There are ample opportunities to leverage AI in the drug development process from discovery and development to the design, conduct, and interpretation of clinical trials. One critical area is the analysis and management of complex clinical information such as medical imaging data, which contains important insights for assessing the effectiveness of treatments. 

In this GEN webinar, Shelby Wyatt, PhD, and Daniela Ferrara, MD, PhD, will discuss how AI-based medical imaging helps imaging/data scientists, innovators, and healthcare professionals accelerate drug development initiatives and projects and move the needle towards personalized healthcare. They will discuss how to build reliable, scalable medical imaging solutions that seamlessly integrate advanced AI technology from solutions such as Flywheel, NVIDIA and Microsoft to enable robust imaging data management and analysis.

A live Q&A session followed the presentation, offering a chance to pose questions to our expert panelists.

Shelby Wyatt
Shelby Wyatt, PhD
VP of Global Pharma Strategy
Daniela Ferrara, MD, PhD
Daniela Ferrara, MD, PhD
rincipal Medical Director of Ophthalmology
Genentech and Roche