Episode 14 - Unlocking Computational Pathology

This episode's guests: Dr. Markus Herrmann

This episode we are talking with Dr. Markus Herrmann, Assistant Professor of pathology at Harvard Medical School, and director of computational pathology at Mass General Hospital.

At the heart of digital pathology is the transformation of images into data. And in so doing, we've unlocked the exciting field of computational pathology.  In this episode we’ll find out more about the field of computational pathology, what exactly is it, and its history.  We’ll examine potential applications of machine learning and artificial intelligence and areas of histologic features that have been neglected.  We’ll discuss some of the benefits of computational pathology and ways it can improve the role of the pathologist.


More About Dr. Markus Herrmann

Markus D. Herrmann, M.D., Ph.D. Assistant Professor of Pathology, Harvard Medical School; Director of Computational Pathology, Massachusetts General Hospital

Dr. Herrmann serves as Director of Computational Pathology at the Massachusetts General Hospital (MGH) and Assistant Professor of Pathology at Harvard Medical School. He is an interdisciplinary physician-scientist at the intersection of medicine, biology, and computer science with a specialization in biomedical imaging, computer vision, and clinical data science. His research focuses on the development of quantitative digital imaging technologies and their translation into safe and effective clinical services. Prior to joining MGH Pathology, he worked as a data scientist and developed machine learning models for image analysis applications in medical imaging. He has a strong interest in standard development and has been actively engaged in national and international efforts to advance the standardization and adoption of digital and computational pathology, including the DICOM Working Group 26 Pathology, the IHE Pathology and Laboratory Medicine domain, the CAP Digital and Computational Pathology Committee and the Alliance for Digital Pathology.