Our guest is one of the giants in the field of digital pathology and image analysis. And if he has seen further than others, he will tell you, it is because he was able to stand on the shoulders of giants as well. His unique multidisciplinary approach has allowed him to breakdown silos and see across the often-artificial barriers and distinctions imposed by academic disciplines and patient treatment paradigms.

We're talking with Professor Anant Madabhushi, Director of the Center for Computational Imaging and Personalized Diagnostics and Professor of Biomedical Engineering, Radiology, Pathology Urology and Radiation Oncology at Case Western Reserve University.

We discuss silos in academic departments and disease states and how looking beyond these limitations can propel progress. What exactly is image analysis, what if we've been able to do with it so far and what predictive and prognostic information can we unlock from histologic features. And finally, how can an image analysis and non-tissue destructive computational and AI powered methods help to democratize access to care and lead to better outcomes for patients across the world.