SEASON 2, EPISODE 18 - COL Joel Moncur, MD, PhD and Katie Olson - Digitizing the Nation's Oldest Tissue Repository

The Armed Forces Institute of Pathology (AFIP) was in existence from 1862 to 2011. Many of us in pathology know it as the publisher of the “tumor fascicles” or the Atlas of Tumor Pathology series, originating in 1947, as well as a center of consultation and tissue repository unparalleled in the world. The AFIP was reborn as the Joint Pathology Center (JPC), whose mission is to deliver cost-effective, high-quality, multidisciplinary pathology consultation and education; and preserve, modernize, and grow the nation's oldest tissue repository to promote biomedical research. The JPC is home to the largest collection of human pathologic specimens in the world, unparalleled in size, age, and diversity. The challenge now is to digitize this collection. In this episode of Digital Pathology Today, our guests are COL Joel Moncur, Director of the Joint Pathology Center and Katie Olson, Acting Director of the Defense Digital Service (DDS). Dr. Moncur became the Director of the JPC in August of 2018. His priorities as Director include digitally transforming the JPC repository and ethically using the data to develop collaborative artificial intelligence algorithms that can lead to new insights into specific disease states or clinical scenarios. At DDS, Katie Olson oversees products and operations for the 80-person rapid-response team working within the Office of the Secretary of Defense. As a Highly Qualified Expert (HQE), Olson brings both her government and private sector experiences to bear on these important initiatives. We discuss the history of the AFIP through its disestablishment in the early 2000s and its rebirth as the JPC. What is DDS and what types of projects do they work on? The massive undertaking which many people are excited about is the project to digitize the JPC collection. We’ll learn about the size, scope and goals of the project. And, of course, artificial intelligence (AI) is a very hot topic - particularly in digital pathology. How will AI be incorporated in this project?