Digital pathology/machine learning

11:00 am-12:30 pm

Room: Alsh

Programme stream(s): Cancer discovery / underpinning research , Early detection / diagnosis and prognosis
Programme session type(s): Parallel session

Chair: Manuel Salto Tellez, Queens University Belfast
Speaker: Pete Bankhead, University of Edinburgh
Speaker: Viktor Koelzer, University and University Hospital Zürich
Speaker: Stephanie Craig, Queens University Belfast
Speaker: Matt Humphries, Queens University Belfast

The session is aimed for all cancer scientists and cancer clinical practitioners who wish to understand the increasingly important role of digital pathology and tissue-based artificial intelligence in discovery and diagnostics.

The proposed session will describe digital pathology “from conceptualization to biological discovery and clinical application”.

The participants will finish the session with an understanding of how digital pathology and artificial intelligence applied to cancer tissues can help cancer discovery and cancer diagnosis. They will have an appreciation of how digital pathology tools are developed, utilized for biomarker discovery and used for clinical analysis of biomarkers.