Breakfast & Science Seminar 12

Abstract It has been called the “third revolution in pathology”! Indeed, digitization in pathology is having a profound impact on diagnostics and research. The possibilities for applying computational algorithms to histopathology images opens new and exciting avenues of investigation into disease processes, prognostication, therapy prediction and molecular subtyping. Moreover, genotype-phenotype correlations can be elucidated by analyzing the complex array of cellular microenvironments and interactions. Here, we discuss how digital pathology can be used, not only to help quantify biomarkers and classify tissues with potential use in diagnostic routine but also leads to a wealth of rich information that can be used to help refine our molecular classifications and eventually learn new histopathological features.

About the Speaker Inti Zlobec received her PhD in Experimental Medicine from McGill University, Canada and pursued postdoctoral studies at the University Hospital Basel, Switzerland. She is now Associate Professor at the Institute of Pathology, University of Bern, Switzerland, where she leads the Translational Research Unit (TRU) and Tissue Bank Bern, two core facilities specializing in tissue biobanking, tissue-based visualisation techniques, digital workflows, image analysis, and next-generation Tissue Microarrays (ngTMA®). She leads the digital pathology group, on the one hand implementing digital pathology into routine diagnostics, and on the other using computational approaches applied to histopathology images of colorectal cancer to refine molecular subtypes and prognosis. Inti Zlobec is President and co-founder of the Swiss Consortium for Digital Pathology (SDiPath), which aims to promote interdisciplinary exchange in the field of digital pathology.

10:00-10:30  CIBM News and Updates