Program 2019

Sunday September 8, 2019 in Nice, France

31th European Congress of Pathology

KEYNOTE

8.30 – 9.30 Thomas Fuchs Memorial Sloan Kettering Cancer Center, New York, USA

Clinical-grade Artificial Intelligence: Hype or Hope for Cancer Care

9.30 – 10.30 coffee break

10.30 – 11.00 Yinyin Yuan Institute of Cancer Research, London, UK

Deep learning the spatial and molecular heterogeneity of tumour immune response


11.00 – 11.30 Scott Doyle University at Buffalo, USA

Building an AI School for Pathology: Workflow for Human-AI Interfaces


11.30 – 12.00 Jakob Kather Aachen University Hospital and the German Cancer Research Center, Heidelberg, Germany

Predicting oncogenic driver mutations directly from histology with deep learning

12.00 – 14.45 lunch break

DIGITAL PATHOLOGY ASSOCIATION (DPA) SESSION

14.45 - 15.25 Marilyn Bui Moffitt Cancer Center, Tampa, USA

Embracing Digital and Computational Pathology: A Calling for Pathologists as Leaders in Precision Medicine


15.25 – 16.05 Liron Pantanowitz University of Pittsburgh, USA

Embedding AI into Digital Pathology Workflows


16.05 – 16.45 Francesco Ciompi Radboud University Medical Center, Nijmegen, the Netherlands

Enhancing Digital Pathology with Artificial Intelligence

16.45 – 17.15 tea break