Working Groups

Artificial intelligence

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.

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.

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