Author Interviews, Lung Cancer, Nature, Technology / 05.03.2019 Interview with: [caption id="attachment_47795" align="alignleft" width="200"]Saeed Hassanpour, PhDAssistant ProfessorDepartments of Biomedical Data Science,Computer Science, and EpidemiologyGeisel School of Medicine at DartmouthLebanon, NH 03756 Dr. Hassanpour[/caption] Saeed Hassanpour, PhD Assistant Professor Departments of Biomedical Data Science, Computer Science, and Epidemiology Geisel School of Medicine at Dartmouth Lebanon, NH 03756 What is the background for this study? What are the main findings? Response: Lung cancer is the deadliest cancer for both men and women in the western world. The most common form, lung adenocarcinoma, requires pathologist’s visual examination of resection slides to determine grade and treatment. However, this is a hard and tedious task. Using new technologies in artificial intelligence and deep learning, we trained a deep neural network to classify lung adenocarcinoma subtypes on histopathology slides and found that it performed on par with three practicing pathologists.