Parallel Session 4 (Day 2): Room 1-05, 1st floor

Data science and AI in clinical trials and population data

The goals of this session are to explore the application of cutting-edge data science and AI methodologies in clinical trials and population data to accelerate knowledge on cancer aetiology, response to treatments and survivorship.

Chaired by Professor Montse Garcia-Closas

Big data - big biases ?

Professor Amy Berrington

Infrastructure for data science to enable discovery of translational work in large cohorts

Dr Maggie Cheang

Integrating real world health data to evaluate end of life care services in cancer

Marcel Al led

Leveraging Large Language Models for structured information extraction and standardization from breast cancer pathology reports

Dr Daniel Adams