The aim of this WG is to support WG1-4 to utilize the vast amount of data collected to assist in addressing personalized diagnosis, prognosis, and treatment of BTC patients.
Working Groups
Jesper B Andersen
WG5 Leader
Jakob Nikolas Kather
WG5 co-Leader
Julien Calderaro
WG5 co-Leader
Artificial intelligence
Tasks & Activities
Explore the potential of artificial intelligence to predict prognosis and molecular features from haematoxylin-eosin histology and other common stains in BTC.
To determine the usefulness of radiomics as biomarkers for diagnosis and prognosis.
To find correlation between histological biomarkers, clinical features, imaging features, patient’s outcome, and prognosis.
To develop algorithms to predict prognosis or the response to treatments in patients with BTC.